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| <h1>Source code for pyspark.testing.pandasutils</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span> |
| <span class="c1"># contributor license agreements. See the NOTICE file distributed with</span> |
| <span class="c1"># this work for additional information regarding copyright ownership.</span> |
| <span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span> |
| <span class="c1"># (the "License"); you may not use this file except in compliance with</span> |
| <span class="c1"># the License. You may obtain a copy of the License at</span> |
| <span class="c1">#</span> |
| <span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> |
| <span class="c1">#</span> |
| <span class="c1"># Unless required by applicable law or agreed to in writing, software</span> |
| <span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span> |
| <span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> |
| <span class="c1"># See the License for the specific language governing permissions and</span> |
| <span class="c1"># limitations under the License.</span> |
| <span class="c1">#</span> |
| |
| <span class="kn">import</span> <span class="nn">functools</span> |
| <span class="kn">import</span> <span class="nn">shutil</span> |
| <span class="kn">import</span> <span class="nn">tempfile</span> |
| <span class="kn">import</span> <span class="nn">warnings</span> |
| <span class="kn">from</span> <span class="nn">contextlib</span> <span class="kn">import</span> <span class="n">contextmanager</span> |
| <span class="kn">from</span> <span class="nn">distutils.version</span> <span class="kn">import</span> <span class="n">LooseVersion</span> |
| <span class="kn">import</span> <span class="nn">decimal</span> |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">TYPE_CHECKING</span> |
| |
| <span class="kn">import</span> <span class="nn">pyspark.pandas</span> <span class="k">as</span> <span class="nn">ps</span> |
| <span class="kn">from</span> <span class="nn">pyspark.pandas.frame</span> <span class="kn">import</span> <span class="n">DataFrame</span> |
| <span class="kn">from</span> <span class="nn">pyspark.pandas.indexes</span> <span class="kn">import</span> <span class="n">Index</span> |
| <span class="kn">from</span> <span class="nn">pyspark.pandas.series</span> <span class="kn">import</span> <span class="n">Series</span> |
| <span class="kn">from</span> <span class="nn">pyspark.pandas.utils</span> <span class="kn">import</span> <span class="n">SPARK_CONF_ARROW_ENABLED</span> |
| <span class="kn">from</span> <span class="nn">pyspark.testing.sqlutils</span> <span class="kn">import</span> <span class="n">ReusedSQLTestCase</span> |
| <span class="kn">from</span> <span class="nn">pyspark.errors</span> <span class="kn">import</span> <span class="n">PySparkAssertionError</span> |
| |
| <span class="n">tabulate_requirement_message</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="kn">from</span> <span class="nn">tabulate</span> <span class="kn">import</span> <span class="n">tabulate</span> |
| <span class="k">except</span> <span class="ne">ImportError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> |
| <span class="c1"># If tabulate requirement is not satisfied, skip related tests.</span> |
| <span class="n">tabulate_requirement_message</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span> |
| <span class="n">have_tabulate</span> <span class="o">=</span> <span class="n">tabulate_requirement_message</span> <span class="ow">is</span> <span class="kc">None</span> |
| |
| <span class="n">matplotlib_requirement_message</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="kn">import</span> <span class="nn">matplotlib</span> |
| <span class="k">except</span> <span class="ne">ImportError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> |
| <span class="c1"># If matplotlib requirement is not satisfied, skip related tests.</span> |
| <span class="n">matplotlib_requirement_message</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span> |
| <span class="n">have_matplotlib</span> <span class="o">=</span> <span class="n">matplotlib_requirement_message</span> <span class="ow">is</span> <span class="kc">None</span> |
| |
| <span class="n">plotly_requirement_message</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="kn">import</span> <span class="nn">plotly</span> |
| <span class="k">except</span> <span class="ne">ImportError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> |
| <span class="c1"># If plotly requirement is not satisfied, skip related tests.</span> |
| <span class="n">plotly_requirement_message</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span> |
| <span class="n">have_plotly</span> <span class="o">=</span> <span class="n">plotly_requirement_message</span> <span class="ow">is</span> <span class="kc">None</span> |
| |
| <span class="k">try</span><span class="p">:</span> |
| <span class="kn">from</span> <span class="nn">pyspark.sql.pandas.utils</span> <span class="kn">import</span> <span class="n">require_minimum_pandas_version</span> |
| |
| <span class="n">require_minimum_pandas_version</span><span class="p">()</span> |
| <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> |
| <span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span> |
| <span class="k">pass</span> |
| |
| <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"assertPandasOnSparkEqual"</span><span class="p">]</span> |
| |
| |
| <span class="k">def</span> <span class="nf">_assert_pandas_equal</span><span class="p">(</span> |
| <span class="n">left</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">],</span> |
| <span class="n">right</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">],</span> |
| <span class="n">checkExact</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="kn">from</span> <span class="nn">pandas.core.dtypes.common</span> <span class="kn">import</span> <span class="n">is_numeric_dtype</span> |
| <span class="kn">from</span> <span class="nn">pandas.testing</span> <span class="kn">import</span> <span class="n">assert_frame_equal</span><span class="p">,</span> <span class="n">assert_index_equal</span><span class="p">,</span> <span class="n">assert_series_equal</span> |
| |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="k">if</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o">>=</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s2">"1.1"</span><span class="p">):</span> |
| <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">check_freq</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span> |
| |
| <span class="k">if</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o"><</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s2">"1.1.1"</span><span class="p">):</span> |
| <span class="c1"># Due to https://github.com/pandas-dev/pandas/issues/35446</span> |
| <span class="n">checkExact</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="n">checkExact</span> |
| <span class="ow">and</span> <span class="nb">all</span><span class="p">([</span><span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span> <span class="k">for</span> <span class="n">dtype</span> <span class="ow">in</span> <span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">])</span> |
| <span class="ow">and</span> <span class="nb">all</span><span class="p">([</span><span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span> <span class="k">for</span> <span class="n">dtype</span> <span class="ow">in</span> <span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">])</span> |
| <span class="p">)</span> |
| |
| <span class="n">assert_frame_equal</span><span class="p">(</span> |
| <span class="n">left</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">,</span> |
| <span class="n">check_index_type</span><span class="o">=</span><span class="p">(</span><span class="s2">"equiv"</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">index</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span> <span class="k">else</span> <span class="kc">False</span><span class="p">),</span> |
| <span class="n">check_column_type</span><span class="o">=</span><span class="p">(</span><span class="s2">"equiv"</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span> <span class="k">else</span> <span class="kc">False</span><span class="p">),</span> |
| <span class="n">check_exact</span><span class="o">=</span><span class="n">checkExact</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">except</span> <span class="ne">AssertionError</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">):</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="k">if</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o">>=</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s2">"1.1"</span><span class="p">):</span> |
| <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">check_freq</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span> |
| <span class="k">if</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o"><</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s2">"1.1.1"</span><span class="p">):</span> |
| <span class="c1"># Due to https://github.com/pandas-dev/pandas/issues/35446</span> |
| <span class="n">checkExact</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="n">checkExact</span> <span class="ow">and</span> <span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> <span class="ow">and</span> <span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> |
| <span class="p">)</span> |
| <span class="n">assert_series_equal</span><span class="p">(</span> |
| <span class="n">left</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">,</span> |
| <span class="n">check_index_type</span><span class="o">=</span><span class="p">(</span><span class="s2">"equiv"</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">index</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span> <span class="k">else</span> <span class="kc">False</span><span class="p">),</span> |
| <span class="n">check_exact</span><span class="o">=</span><span class="n">checkExact</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">except</span> <span class="ne">AssertionError</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_SERIES"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">):</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="k">if</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o"><</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s2">"1.1.1"</span><span class="p">):</span> |
| <span class="c1"># Due to https://github.com/pandas-dev/pandas/issues/35446</span> |
| <span class="n">checkExact</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="n">checkExact</span> <span class="ow">and</span> <span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> <span class="ow">and</span> <span class="n">is_numeric_dtype</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> |
| <span class="p">)</span> |
| <span class="n">assert_index_equal</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">check_exact</span><span class="o">=</span><span class="n">checkExact</span><span class="p">)</span> |
| <span class="k">except</span> <span class="ne">AssertionError</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_INDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Unexpected values: (</span><span class="si">%s</span><span class="s2">, </span><span class="si">%s</span><span class="s2">)"</span> <span class="o">%</span> <span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">))</span> |
| |
| |
| <span class="k">def</span> <span class="nf">_assert_pandas_almost_equal</span><span class="p">(</span> |
| <span class="n">left</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">],</span> |
| <span class="n">right</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">],</span> |
| <span class="n">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-5</span><span class="p">,</span> |
| <span class="n">atol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-8</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> This function checks if given pandas objects approximately same,</span> |
| <span class="sd"> which means the conditions below:</span> |
| <span class="sd"> - Both objects are nullable</span> |
| <span class="sd"> - Compare decimals and floats, where two values a and b are approximately equal</span> |
| <span class="sd"> if they satisfy the following formula:</span> |
| <span class="sd"> absolute(a - b) <= (atol + rtol * absolute(b))</span> |
| <span class="sd"> where rtol=1e-5 and atol=1e-8 by default</span> |
| <span class="sd"> """</span> |
| |
| <span class="k">def</span> <span class="nf">compare_vals_approx</span><span class="p">(</span><span class="n">val1</span><span class="p">,</span> <span class="n">val2</span><span class="p">):</span> |
| <span class="c1"># compare vals for approximate equality</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">lval</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="n">decimal</span><span class="o">.</span><span class="n">Decimal</span><span class="p">))</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">rval</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="n">decimal</span><span class="o">.</span><span class="n">Decimal</span><span class="p">)):</span> |
| <span class="k">if</span> <span class="nb">abs</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">lval</span><span class="p">)</span> <span class="o">-</span> <span class="nb">float</span><span class="p">(</span><span class="n">rval</span><span class="p">))</span> <span class="o">></span> <span class="p">(</span><span class="n">atol</span> <span class="o">+</span> <span class="n">rtol</span> <span class="o">*</span> <span class="nb">abs</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">rval</span><span class="p">))):</span> |
| <span class="k">return</span> <span class="kc">False</span> |
| <span class="k">elif</span> <span class="n">val1</span> <span class="o">!=</span> <span class="n">val2</span><span class="p">:</span> |
| <span class="k">return</span> <span class="kc">False</span> |
| <span class="k">return</span> <span class="kc">True</span> |
| |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">left</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">right</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lcol</span><span class="p">,</span> <span class="n">rcol</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">columns</span><span class="p">,</span> <span class="n">right</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">lcol</span> <span class="o">!=</span> <span class="n">rcol</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lnull</span><span class="p">,</span> <span class="n">rnull</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="p">[</span><span class="n">lcol</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">(),</span> <span class="n">right</span><span class="p">[</span><span class="n">rcol</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="n">lnull</span> <span class="o">!=</span> <span class="n">rnull</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lval</span><span class="p">,</span> <span class="n">rval</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="p">[</span><span class="n">lcol</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> <span class="n">right</span><span class="p">[</span><span class="n">rcol</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">compare_vals_approx</span><span class="p">(</span><span class="n">lval</span><span class="p">,</span> <span class="n">rval</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="n">left</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">names</span> <span class="o">!=</span> <span class="n">right</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">names</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_DATAFRAME"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtypes</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">left</span><span class="o">.</span><span class="n">name</span> <span class="o">!=</span> <span class="n">right</span><span class="o">.</span><span class="n">name</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">right</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_SERIES"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lnull</span><span class="p">,</span> <span class="n">rnull</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">isnull</span><span class="p">(),</span> <span class="n">right</span><span class="o">.</span><span class="n">isnull</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="n">lnull</span> <span class="o">!=</span> <span class="n">rnull</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_SERIES"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lval</span><span class="p">,</span> <span class="n">rval</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> <span class="n">right</span><span class="o">.</span><span class="n">dropna</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">compare_vals_approx</span><span class="p">(</span><span class="n">lval</span><span class="p">,</span> <span class="n">rval</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_SERIES"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="o">.</span><span class="n">to_string</span><span class="p">(),</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">MultiIndex</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">MultiIndex</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">right</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_MULTIINDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lval</span><span class="p">,</span> <span class="n">rval</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">compare_vals_approx</span><span class="p">(</span><span class="n">lval</span><span class="p">,</span> <span class="n">rval</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_MULTIINDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">right</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_INDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lnull</span><span class="p">,</span> <span class="n">rnull</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">isnull</span><span class="p">(),</span> <span class="n">right</span><span class="o">.</span><span class="n">isnull</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="n">lnull</span> <span class="o">!=</span> <span class="n">rnull</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_INDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">for</span> <span class="n">lval</span><span class="p">,</span> <span class="n">rval</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> <span class="n">right</span><span class="o">.</span><span class="n">dropna</span><span class="p">()):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">compare_vals_approx</span><span class="p">(</span><span class="n">lval</span><span class="p">,</span> <span class="n">rval</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"DIFFERENT_PANDAS_INDEX"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"left"</span><span class="p">:</span> <span class="n">left</span><span class="p">,</span> |
| <span class="s2">"left_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">left</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="s2">"right"</span><span class="p">:</span> <span class="n">right</span><span class="p">,</span> |
| <span class="s2">"right_dtype"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">right</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"INVALID_TYPE_DF_EQUALITY_ARG"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"expected_type"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span><span class="p">,</span> |
| <span class="s2">"arg_name"</span><span class="p">:</span> <span class="s2">"left"</span><span class="p">,</span> |
| <span class="s2">"actual_type"</span><span class="p">:</span> <span class="nb">type</span><span class="p">(</span><span class="n">left</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"INVALID_TYPE_DF_EQUALITY_ARG"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"expected_type"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span><span class="p">,</span> |
| <span class="s2">"arg_name"</span><span class="p">:</span> <span class="s2">"right"</span><span class="p">,</span> |
| <span class="s2">"actual_type"</span><span class="p">:</span> <span class="nb">type</span><span class="p">(</span><span class="n">right</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="assertPandasOnSparkEqual"><a class="viewcode-back" href="../../../reference/api/pyspark.testing.assertPandasOnSparkEqual.html#pyspark.testing.assertPandasOnSparkEqual">[docs]</a><span class="k">def</span> <span class="nf">assertPandasOnSparkEqual</span><span class="p">(</span> |
| <span class="n">actual</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span><span class="p">,</span> <span class="n">Index</span><span class="p">],</span> |
| <span class="n">expected</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">Index</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">],</span> |
| <span class="n">checkExact</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="n">almost</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-5</span><span class="p">,</span> |
| <span class="n">atol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-8</span><span class="p">,</span> |
| <span class="n">checkRowOrder</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="w"> </span><span class="sa">r</span><span class="sd">"""</span> |
| <span class="sd"> A util function to assert equality between actual (pandas-on-Spark object) and expected</span> |
| <span class="sd"> (pandas-on-Spark or pandas object).</span> |
| |
| <span class="sd"> .. versionadded:: 3.5.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> actual: pandas-on-Spark DataFrame, Series, or Index</span> |
| <span class="sd"> The object that is being compared or tested.</span> |
| <span class="sd"> expected: pandas-on-Spark or pandas DataFrame, Series, or Index</span> |
| <span class="sd"> The expected object, for comparison with the actual result.</span> |
| <span class="sd"> checkExact: bool, optional</span> |
| <span class="sd"> A flag indicating whether to compare exact equality.</span> |
| <span class="sd"> If set to 'True' (default), the data is compared exactly.</span> |
| <span class="sd"> If set to 'False', the data is compared less precisely, following pandas assert_frame_equal</span> |
| <span class="sd"> approximate comparison (see documentation for more details).</span> |
| <span class="sd"> almost: bool, optional</span> |
| <span class="sd"> A flag indicating whether to use unittest `assertAlmostEqual` or `assertEqual`.</span> |
| <span class="sd"> If set to 'True', the comparison is delegated to `unittest`'s `assertAlmostEqual`</span> |
| <span class="sd"> (see documentation for more details).</span> |
| <span class="sd"> If set to 'False' (default), the data is compared exactly with `unittest`'s</span> |
| <span class="sd"> `assertEqual`.</span> |
| <span class="sd"> rtol : float, optional</span> |
| <span class="sd"> The relative tolerance, used in asserting almost equality for float values in actual</span> |
| <span class="sd"> and expected. Set to 1e-5 by default. (See Notes)</span> |
| <span class="sd"> atol : float, optional</span> |
| <span class="sd"> The absolute tolerance, used in asserting almost equality for float values in actual</span> |
| <span class="sd"> and expected. Set to 1e-8 by default. (See Notes)</span> |
| <span class="sd"> checkRowOrder : bool, optional</span> |
| <span class="sd"> A flag indicating whether the order of rows should be considered in the comparison.</span> |
| <span class="sd"> If set to `False`, the row order is not taken into account.</span> |
| <span class="sd"> If set to `True` (default), the order of rows will be checked during comparison.</span> |
| <span class="sd"> (See Notes)</span> |
| |
| <span class="sd"> Notes</span> |
| <span class="sd"> -----</span> |
| <span class="sd"> For `checkRowOrder`, note that pandas-on-Spark DataFrame ordering is non-deterministic, unless</span> |
| <span class="sd"> explicitly sorted.</span> |
| |
| <span class="sd"> When `almost` is set to True, approximate equality will be asserted, where two values</span> |
| <span class="sd"> a and b are approximately equal if they satisfy the following formula:</span> |
| |
| <span class="sd"> ``absolute(a - b) <= (atol + rtol * absolute(b))``.</span> |
| |
| <span class="sd"> Examples</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> >>> import pyspark.pandas as ps</span> |
| <span class="sd"> >>> psdf1 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})</span> |
| <span class="sd"> >>> psdf2 = ps.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})</span> |
| <span class="sd"> >>> assertPandasOnSparkEqual(psdf1, psdf2) # pass, ps.DataFrames are equal</span> |
| <span class="sd"> >>> s1 = ps.Series([212.32, 100.0001])</span> |
| <span class="sd"> >>> s2 = ps.Series([212.32, 100.0])</span> |
| <span class="sd"> >>> assertPandasOnSparkEqual(s1, s2, checkExact=False) # pass, ps.Series are approx equal</span> |
| <span class="sd"> >>> s1 = ps.Index([212.300001, 100.000])</span> |
| <span class="sd"> >>> s2 = ps.Index([212.3, 100.0001])</span> |
| <span class="sd"> >>> assertPandasOnSparkEqual(s1, s2, almost=True) # pass, ps.Index obj are almost equal</span> |
| <span class="sd"> """</span> |
| <span class="k">if</span> <span class="n">actual</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">expected</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="k">return</span> <span class="kc">True</span> |
| <span class="k">elif</span> <span class="n">actual</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">expected</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="k">return</span> <span class="kc">False</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">actual</span><span class="p">,</span> <span class="p">(</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span><span class="p">,</span> <span class="n">Index</span><span class="p">)):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"INVALID_TYPE_DF_EQUALITY_ARG"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"expected_type"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DataFrame</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">Series</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">Index</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span> |
| <span class="s2">"arg_name"</span><span class="p">:</span> <span class="s2">"actual"</span><span class="p">,</span> |
| <span class="s2">"actual_type"</span><span class="p">:</span> <span class="nb">type</span><span class="p">(</span><span class="n">actual</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">expected</span><span class="p">,</span> <span class="p">(</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">Index</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)):</span> |
| <span class="k">raise</span> <span class="n">PySparkAssertionError</span><span class="p">(</span> |
| <span class="n">error_class</span><span class="o">=</span><span class="s2">"INVALID_TYPE_DF_EQUALITY_ARG"</span><span class="p">,</span> |
| <span class="n">message_parameters</span><span class="o">=</span><span class="p">{</span> |
| <span class="s2">"expected_type"</span><span class="p">:</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DataFrame</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">Series</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">Index</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">"</span> |
| <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">, "</span><span class="p">,</span> |
| <span class="s2">"arg_name"</span><span class="p">:</span> <span class="s2">"expected"</span><span class="p">,</span> |
| <span class="s2">"actual_type"</span><span class="p">:</span> <span class="nb">type</span><span class="p">(</span><span class="n">expected</span><span class="p">),</span> |
| <span class="p">},</span> |
| <span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">actual</span><span class="p">,</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">)):</span> |
| <span class="n">actual</span> <span class="o">=</span> <span class="n">actual</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">expected</span><span class="p">,</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">)):</span> |
| <span class="n">expected</span> <span class="o">=</span> <span class="n">expected</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">checkRowOrder</span><span class="p">:</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">actual</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">actual</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span> |
| <span class="n">actual</span> <span class="o">=</span> <span class="n">actual</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="n">actual</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">expected</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">expected</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span> |
| <span class="n">expected</span> <span class="o">=</span> <span class="n">expected</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="n">expected</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| |
| <span class="k">if</span> <span class="n">almost</span><span class="p">:</span> |
| <span class="n">_assert_pandas_almost_equal</span><span class="p">(</span><span class="n">actual</span><span class="p">,</span> <span class="n">expected</span><span class="p">,</span> <span class="n">rtol</span><span class="o">=</span><span class="n">rtol</span><span class="p">,</span> <span class="n">atol</span><span class="o">=</span><span class="n">atol</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">_assert_pandas_equal</span><span class="p">(</span><span class="n">actual</span><span class="p">,</span> <span class="n">expected</span><span class="p">,</span> <span class="n">checkExact</span><span class="o">=</span><span class="n">checkExact</span><span class="p">)</span></div> |
| |
| |
| <span class="k">class</span> <span class="nc">PandasOnSparkTestUtils</span><span class="p">:</span> |
| <span class="k">def</span> <span class="nf">convert_str_to_lambda</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">func</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> This function converts `func` str to lambda call</span> |
| <span class="sd"> """</span> |
| <span class="k">return</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">func</span><span class="p">)()</span> |
| |
| <span class="k">def</span> <span class="nf">assertPandasEqual</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">left</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">right</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">check_exact</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span> |
| <span class="n">_assert_pandas_equal</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">check_exact</span><span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">assertPandasAlmostEqual</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="n">left</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> |
| <span class="n">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-5</span><span class="p">,</span> |
| <span class="n">atol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-8</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="n">_assert_pandas_almost_equal</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">rtol</span><span class="o">=</span><span class="n">rtol</span><span class="p">,</span> <span class="n">atol</span><span class="o">=</span><span class="n">atol</span><span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">assert_eq</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="n">left</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> |
| <span class="n">check_exact</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="n">almost</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-5</span><span class="p">,</span> |
| <span class="n">atol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-8</span><span class="p">,</span> |
| <span class="n">check_row_order</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Asserts if two arbitrary objects are equal or not. If given objects are Koalas DataFrame</span> |
| <span class="sd"> or Series, they are converted into pandas' and compared.</span> |
| |
| <span class="sd"> :param left: object to compare</span> |
| <span class="sd"> :param right: object to compare</span> |
| <span class="sd"> :param check_exact: if this is False, the comparison is done less precisely.</span> |
| <span class="sd"> :param almost: if this is enabled, the comparison asserts approximate equality</span> |
| <span class="sd"> for float and decimal values, where two values a and b are approximately equal</span> |
| <span class="sd"> if they satisfy the following formula:</span> |
| <span class="sd"> absolute(a - b) <= (atol + rtol * absolute(b))</span> |
| <span class="sd"> :param rtol: The relative tolerance, used in asserting approximate equality for</span> |
| <span class="sd"> float values. Set to 1e-5 by default.</span> |
| <span class="sd"> :param atol: The absolute tolerance, used in asserting approximate equality for</span> |
| <span class="sd"> float values in actual and expected. Set to 1e-8 by default.</span> |
| <span class="sd"> :param check_row_order: A flag indicating whether the order of rows should be considered</span> |
| <span class="sd"> in the comparison. If set to False, row order will be ignored.</span> |
| <span class="sd"> """</span> |
| <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> |
| <span class="kn">from</span> <span class="nn">pandas.api.types</span> <span class="kn">import</span> <span class="n">is_list_like</span> |
| |
| <span class="c1"># for pandas-on-Spark DataFrames, allow choice to ignore row order</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="p">(</span><span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">ps</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">)):</span> |
| <span class="k">return</span> <span class="n">assertPandasOnSparkEqual</span><span class="p">(</span> |
| <span class="n">left</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">,</span> |
| <span class="n">checkExact</span><span class="o">=</span><span class="n">check_exact</span><span class="p">,</span> |
| <span class="n">almost</span><span class="o">=</span><span class="n">almost</span><span class="p">,</span> |
| <span class="n">rtol</span><span class="o">=</span><span class="n">rtol</span><span class="p">,</span> |
| <span class="n">atol</span><span class="o">=</span><span class="n">atol</span><span class="p">,</span> |
| <span class="n">checkRowOrder</span><span class="o">=</span><span class="n">check_row_order</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="n">lobj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_to_pandas</span><span class="p">(</span><span class="n">left</span><span class="p">)</span> |
| <span class="n">robj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_to_pandas</span><span class="p">(</span><span class="n">right</span><span class="p">)</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">lobj</span><span class="p">,</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Index</span><span class="p">)):</span> |
| <span class="k">if</span> <span class="n">almost</span><span class="p">:</span> |
| <span class="n">_assert_pandas_almost_equal</span><span class="p">(</span><span class="n">lobj</span><span class="p">,</span> <span class="n">robj</span><span class="p">,</span> <span class="n">rtol</span><span class="o">=</span><span class="n">rtol</span><span class="p">,</span> <span class="n">atol</span><span class="o">=</span><span class="n">atol</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">_assert_pandas_equal</span><span class="p">(</span><span class="n">lobj</span><span class="p">,</span> <span class="n">robj</span><span class="p">,</span> <span class="n">checkExact</span><span class="o">=</span><span class="n">check_exact</span><span class="p">)</span> |
| <span class="k">elif</span> <span class="n">is_list_like</span><span class="p">(</span><span class="n">lobj</span><span class="p">)</span> <span class="ow">and</span> <span class="n">is_list_like</span><span class="p">(</span><span class="n">robj</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">left</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">right</span><span class="p">))</span> |
| <span class="k">for</span> <span class="n">litem</span><span class="p">,</span> <span class="n">ritem</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">left</span><span class="p">,</span> <span class="n">right</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">assert_eq</span><span class="p">(</span><span class="n">litem</span><span class="p">,</span> <span class="n">ritem</span><span class="p">,</span> <span class="n">check_exact</span><span class="o">=</span><span class="n">check_exact</span><span class="p">,</span> <span class="n">almost</span><span class="o">=</span><span class="n">almost</span><span class="p">)</span> |
| <span class="k">elif</span> <span class="p">(</span><span class="n">lobj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">pd</span><span class="o">.</span><span class="n">isna</span><span class="p">(</span><span class="n">lobj</span><span class="p">))</span> <span class="ow">and</span> <span class="p">(</span><span class="n">robj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">pd</span><span class="o">.</span><span class="n">isna</span><span class="p">(</span><span class="n">robj</span><span class="p">)):</span> |
| <span class="k">pass</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">if</span> <span class="n">almost</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">assertAlmostEqual</span><span class="p">(</span><span class="n">lobj</span><span class="p">,</span> <span class="n">robj</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">assertEqual</span><span class="p">(</span><span class="n">lobj</span><span class="p">,</span> <span class="n">robj</span><span class="p">)</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">_to_pandas</span><span class="p">(</span><span class="n">obj</span><span class="p">:</span> <span class="n">Any</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="p">(</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span><span class="p">,</span> <span class="n">Index</span><span class="p">)):</span> |
| <span class="k">return</span> <span class="n">obj</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">obj</span> |
| |
| |
| <span class="k">class</span> <span class="nc">PandasOnSparkTestCase</span><span class="p">(</span><span class="n">ReusedSQLTestCase</span><span class="p">,</span> <span class="n">PandasOnSparkTestUtils</span><span class="p">):</span> |
| <span class="nd">@classmethod</span> |
| <span class="k">def</span> <span class="nf">setUpClass</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PandasOnSparkTestCase</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="n">setUpClass</span><span class="p">()</span> |
| <span class="bp">cls</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">conf</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">SPARK_CONF_ARROW_ENABLED</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span> |
| |
| |
| <span class="k">class</span> <span class="nc">TestUtils</span><span class="p">:</span> |
| <span class="nd">@contextmanager</span> |
| <span class="k">def</span> <span class="nf">temp_dir</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="n">tmp</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span> |
| <span class="k">try</span><span class="p">:</span> |
| <span class="k">yield</span> <span class="n">tmp</span> |
| <span class="k">finally</span><span class="p">:</span> |
| <span class="n">shutil</span><span class="o">.</span><span class="n">rmtree</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span> |
| |
| <span class="nd">@contextmanager</span> |
| <span class="k">def</span> <span class="nf">temp_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">temp_dir</span><span class="p">()</span> <span class="k">as</span> <span class="n">tmp</span><span class="p">:</span> |
| <span class="k">yield</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkstemp</span><span class="p">(</span><span class="nb">dir</span><span class="o">=</span><span class="n">tmp</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> |
| |
| |
| <span class="k">class</span> <span class="nc">ComparisonTestBase</span><span class="p">(</span><span class="n">PandasOnSparkTestCase</span><span class="p">):</span> |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">psdf</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">ps</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">pdf</span><span class="p">)</span> |
| |
| <span class="nd">@property</span> |
| <span class="k">def</span> <span class="nf">pdf</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">psdf</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| |
| |
| <span class="k">def</span> <span class="nf">compare_both</span><span class="p">(</span><span class="n">f</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">almost</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span> |
| |
| <span class="k">if</span> <span class="n">f</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">functools</span><span class="o">.</span><span class="n">partial</span><span class="p">(</span><span class="n">compare_both</span><span class="p">,</span> <span class="n">almost</span><span class="o">=</span><span class="n">almost</span><span class="p">)</span> |
| <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="nb">bool</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">functools</span><span class="o">.</span><span class="n">partial</span><span class="p">(</span><span class="n">compare_both</span><span class="p">,</span> <span class="n">almost</span><span class="o">=</span><span class="n">f</span><span class="p">)</span> |
| |
| <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">f</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">wrapped</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">almost</span><span class="p">:</span> |
| <span class="n">compare</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">assertPandasAlmostEqual</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">compare</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">assertPandasEqual</span> |
| |
| <span class="k">for</span> <span class="n">result_pandas</span><span class="p">,</span> <span class="n">result_spark</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">pdf</span><span class="p">),</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">psdf</span><span class="p">)):</span> |
| <span class="n">compare</span><span class="p">(</span><span class="n">result_pandas</span><span class="p">,</span> <span class="n">result_spark</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">())</span> |
| |
| <span class="k">return</span> <span class="n">wrapped</span> |
| |
| |
| <span class="nd">@contextmanager</span> |
| <span class="k">def</span> <span class="nf">assert_produces_warning</span><span class="p">(</span> |
| <span class="n">expected_warning</span><span class="o">=</span><span class="ne">Warning</span><span class="p">,</span> |
| <span class="n">filter_level</span><span class="o">=</span><span class="s2">"always"</span><span class="p">,</span> |
| <span class="n">check_stacklevel</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> |
| <span class="n">raise_on_extra_warnings</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> |
| <span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Context manager for running code expected to either raise a specific</span> |
| <span class="sd"> warning, or not raise any warnings. Verifies that the code raises the</span> |
| <span class="sd"> expected warning, and that it does not raise any other unexpected</span> |
| <span class="sd"> warnings. It is basically a wrapper around ``warnings.catch_warnings``.</span> |
| |
| <span class="sd"> Notes</span> |
| <span class="sd"> -----</span> |
| <span class="sd"> Replicated from pandas/_testing/_warnings.py.</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> expected_warning : {Warning, False, None}, default Warning</span> |
| <span class="sd"> The type of Exception raised. ``exception.Warning`` is the base</span> |
| <span class="sd"> class for all warnings. To check that no warning is returned,</span> |
| <span class="sd"> specify ``False`` or ``None``.</span> |
| <span class="sd"> filter_level : str or None, default "always"</span> |
| <span class="sd"> Specifies whether warnings are ignored, displayed, or turned</span> |
| <span class="sd"> into errors.</span> |
| <span class="sd"> Valid values are:</span> |
| <span class="sd"> * "error" - turns matching warnings into exceptions</span> |
| <span class="sd"> * "ignore" - discard the warning</span> |
| <span class="sd"> * "always" - always emit a warning</span> |
| <span class="sd"> * "default" - print the warning the first time it is generated</span> |
| <span class="sd"> from each location</span> |
| <span class="sd"> * "module" - print the warning the first time it is generated</span> |
| <span class="sd"> from each module</span> |
| <span class="sd"> * "once" - print the warning the first time it is generated</span> |
| <span class="sd"> check_stacklevel : bool, default True</span> |
| <span class="sd"> If True, displays the line that called the function containing</span> |
| <span class="sd"> the warning to show were the function is called. Otherwise, the</span> |
| <span class="sd"> line that implements the function is displayed.</span> |
| <span class="sd"> raise_on_extra_warnings : bool, default True</span> |
| <span class="sd"> Whether extra warnings not of the type `expected_warning` should</span> |
| <span class="sd"> cause the test to fail.</span> |
| |
| <span class="sd"> Examples</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> >>> import warnings</span> |
| <span class="sd"> >>> with assert_produces_warning():</span> |
| <span class="sd"> ... warnings.warn(UserWarning())</span> |
| <span class="sd"> ...</span> |
| <span class="sd"> >>> with assert_produces_warning(False): # doctest: +SKIP</span> |
| <span class="sd"> ... warnings.warn(RuntimeWarning())</span> |
| <span class="sd"> ...</span> |
| <span class="sd"> Traceback (most recent call last):</span> |
| <span class="sd"> ...</span> |
| <span class="sd"> AssertionError: Caused unexpected warning(s): ['RuntimeWarning'].</span> |
| <span class="sd"> >>> with assert_produces_warning(UserWarning): # doctest: +SKIP</span> |
| <span class="sd"> ... warnings.warn(RuntimeWarning())</span> |
| <span class="sd"> Traceback (most recent call last):</span> |
| <span class="sd"> ...</span> |
| <span class="sd"> AssertionError: Did not see expected warning of class 'UserWarning'</span> |
| <span class="sd"> ..warn:: This is *not* thread-safe.</span> |
| <span class="sd"> """</span> |
| <span class="n">__tracebackhide__</span> <span class="o">=</span> <span class="kc">True</span> |
| |
| <span class="k">with</span> <span class="n">warnings</span><span class="o">.</span><span class="n">catch_warnings</span><span class="p">(</span><span class="n">record</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="k">as</span> <span class="n">w</span><span class="p">:</span> |
| |
| <span class="n">saw_warning</span> <span class="o">=</span> <span class="kc">False</span> |
| <span class="n">warnings</span><span class="o">.</span><span class="n">simplefilter</span><span class="p">(</span><span class="n">filter_level</span><span class="p">)</span> |
| <span class="k">yield</span> <span class="n">w</span> |
| <span class="n">extra_warnings</span> <span class="o">=</span> <span class="p">[]</span> |
| |
| <span class="k">for</span> <span class="n">actual_warning</span> <span class="ow">in</span> <span class="n">w</span><span class="p">:</span> |
| <span class="k">if</span> <span class="n">expected_warning</span> <span class="ow">and</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">actual_warning</span><span class="o">.</span><span class="n">category</span><span class="p">,</span> <span class="n">expected_warning</span><span class="p">):</span> |
| <span class="n">saw_warning</span> <span class="o">=</span> <span class="kc">True</span> |
| |
| <span class="k">if</span> <span class="n">check_stacklevel</span> <span class="ow">and</span> <span class="nb">issubclass</span><span class="p">(</span> |
| <span class="n">actual_warning</span><span class="o">.</span><span class="n">category</span><span class="p">,</span> <span class="p">(</span><span class="ne">FutureWarning</span><span class="p">,</span> <span class="ne">DeprecationWarning</span><span class="p">)</span> |
| <span class="p">):</span> |
| <span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">getframeinfo</span><span class="p">,</span> <span class="n">stack</span> |
| |
| <span class="n">caller</span> <span class="o">=</span> <span class="n">getframeinfo</span><span class="p">(</span><span class="n">stack</span><span class="p">()[</span><span class="mi">2</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span> |
| <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="s2">"Warning not set with correct stacklevel. "</span><span class="p">,</span> |
| <span class="s2">"File where warning is raised: </span><span class="si">{}</span><span class="s2"> != "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">actual_warning</span><span class="o">.</span><span class="n">filename</span><span class="p">),</span> |
| <span class="s2">"</span><span class="si">{}</span><span class="s2">. Warning message: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">caller</span><span class="o">.</span><span class="n">filename</span><span class="p">,</span> <span class="n">actual_warning</span><span class="o">.</span><span class="n">message</span><span class="p">),</span> |
| <span class="p">)</span> |
| <span class="k">assert</span> <span class="n">actual_warning</span><span class="o">.</span><span class="n">filename</span> <span class="o">==</span> <span class="n">caller</span><span class="o">.</span><span class="n">filename</span><span class="p">,</span> <span class="n">msg</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">extra_warnings</span><span class="o">.</span><span class="n">append</span><span class="p">(</span> |
| <span class="p">(</span> |
| <span class="n">actual_warning</span><span class="o">.</span><span class="n">category</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> |
| <span class="n">actual_warning</span><span class="o">.</span><span class="n">message</span><span class="p">,</span> |
| <span class="n">actual_warning</span><span class="o">.</span><span class="n">filename</span><span class="p">,</span> |
| <span class="n">actual_warning</span><span class="o">.</span><span class="n">lineno</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="n">expected_warning</span><span class="p">:</span> |
| <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Did not see expected warning of class </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">repr</span><span class="p">(</span><span class="n">expected_warning</span><span class="o">.</span><span class="vm">__name__</span><span class="p">))</span> |
| <span class="k">assert</span> <span class="n">saw_warning</span><span class="p">,</span> <span class="n">msg</span> |
| <span class="k">if</span> <span class="n">raise_on_extra_warnings</span> <span class="ow">and</span> <span class="n">extra_warnings</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span><span class="s2">"Caused unexpected warning(s): </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">repr</span><span class="p">(</span><span class="n">extra_warnings</span><span class="p">)))</span> |
| </pre></div> |
| |
| </div> |
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