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| <h1>Source code for pyspark.pandas.testing</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="sd">"""</span> |
| <span class="sd">Public testing utility functions.</span> |
| <span class="sd">"""</span> |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">Union</span> |
| <span class="kn">import</span> <span class="nn">pyspark.pandas</span> <span class="k">as</span> <span class="nn">ps</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> |
| |
| |
| <div class="viewcode-block" id="assert_frame_equal"><a class="viewcode-back" href="../../../reference/pyspark.pandas/api/pyspark.pandas.testing.assert_frame_equal.html#pyspark.pandas.testing.assert_frame_equal">[docs]</a><span class="k">def</span> <span class="nf">assert_frame_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">ps</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">DataFrame</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">ps</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">DataFrame</span><span class="p">],</span> |
| <span class="n">check_dtype</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">check_index_type</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"equiv"</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">"equiv"</span><span class="p">,</span> |
| <span class="n">check_column_type</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"equiv"</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">"equiv"</span><span class="p">,</span> |
| <span class="n">check_frame_type</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">check_names</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">by_blocks</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">check_exact</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">check_datetimelike_compat</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">check_categorical</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">check_like</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">check_freq</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">check_flags</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">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0e-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">1.0e-8</span><span class="p">,</span> |
| <span class="n">obj</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"DataFrame"</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Check that left and right DataFrame are equal.</span> |
| |
| <span class="sd"> This function is intended to compare two DataFrames and output any</span> |
| <span class="sd"> differences. It is mostly intended for use in unit tests.</span> |
| <span class="sd"> Additional parameters allow varying the strictness of the</span> |
| <span class="sd"> equality checks performed.</span> |
| |
| <span class="sd"> .. versionadded:: 4.0.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> left : DataFrame</span> |
| <span class="sd"> First DataFrame to compare.</span> |
| <span class="sd"> right : DataFrame</span> |
| <span class="sd"> Second DataFrame to compare.</span> |
| <span class="sd"> check_dtype : bool, default True</span> |
| <span class="sd"> Whether to check the DataFrame dtype is identical.</span> |
| <span class="sd"> check_index_type : bool or {'equiv'}, default 'equiv'</span> |
| <span class="sd"> Whether to check the Index class, dtype and inferred_type</span> |
| <span class="sd"> are identical.</span> |
| <span class="sd"> check_column_type : bool or {'equiv'}, default 'equiv'</span> |
| <span class="sd"> Whether to check the columns class, dtype and inferred_type</span> |
| <span class="sd"> are identical. Is passed as the ``exact`` argument of</span> |
| <span class="sd"> :func:`assert_index_equal`.</span> |
| <span class="sd"> check_frame_type : bool, default True</span> |
| <span class="sd"> Whether to check the DataFrame class is identical.</span> |
| <span class="sd"> check_names : bool, default True</span> |
| <span class="sd"> Whether to check that the `names` attribute for both the `index`</span> |
| <span class="sd"> and `column` attributes of the DataFrame is identical.</span> |
| <span class="sd"> by_blocks : bool, default False</span> |
| <span class="sd"> Specify how to compare internal data. If False, compare by columns.</span> |
| <span class="sd"> If True, compare by blocks.</span> |
| <span class="sd"> check_exact : bool, default False</span> |
| <span class="sd"> Whether to compare number exactly.</span> |
| <span class="sd"> check_datetimelike_compat : bool, default False</span> |
| <span class="sd"> Compare datetime-like which is comparable ignoring dtype.</span> |
| <span class="sd"> check_categorical : bool, default True</span> |
| <span class="sd"> Whether to compare internal Categorical exactly.</span> |
| <span class="sd"> check_like : bool, default False</span> |
| <span class="sd"> If True, ignore the order of index & columns.</span> |
| <span class="sd"> Note: index labels must match their respective rows</span> |
| <span class="sd"> (same as in columns) - same labels must be with the same data.</span> |
| <span class="sd"> check_freq : bool, default True</span> |
| <span class="sd"> Whether to check the `freq` attribute on a DatetimeIndex or TimedeltaIndex.</span> |
| <span class="sd"> check_flags : bool, default True</span> |
| <span class="sd"> Whether to check the `flags` attribute.</span> |
| <span class="sd"> rtol : float, default 1e-5</span> |
| <span class="sd"> Relative tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> atol : float, default 1e-8</span> |
| <span class="sd"> Absolute tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> obj : str, default 'DataFrame'</span> |
| <span class="sd"> Specify object name being compared, internally used to show appropriate</span> |
| <span class="sd"> assertion message.</span> |
| |
| <span class="sd"> See Also</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> assert_series_equal : Equivalent method for asserting Series equality.</span> |
| <span class="sd"> DataFrame.equals : Check DataFrame equality.</span> |
| |
| <span class="sd"> Examples</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> This example shows comparing two DataFrames that are equal</span> |
| <span class="sd"> but with columns of differing dtypes.</span> |
| |
| <span class="sd"> >>> from pyspark.pandas.testing import assert_frame_equal</span> |
| <span class="sd"> >>> df1 = ps.DataFrame({'a': [1, 2], 'b': [3, 4]})</span> |
| <span class="sd"> >>> df2 = ps.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})</span> |
| |
| <span class="sd"> df1 equals itself.</span> |
| |
| <span class="sd"> >>> assert_frame_equal(df1, df1)</span> |
| |
| <span class="sd"> df1 differs from df2 as column 'b' is of a different type.</span> |
| |
| <span class="sd"> >>> assert_frame_equal(df1, df2)</span> |
| <span class="sd"> Traceback (most recent call last):</span> |
| <span class="sd"> ...</span> |
| <span class="sd"> AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="b") are different</span> |
| <span class="sd"> <BLANKLINE></span> |
| <span class="sd"> Attribute "dtype" are different</span> |
| <span class="sd"> [left]: int64</span> |
| <span class="sd"> [right]: float64</span> |
| |
| <span class="sd"> Ignore differing dtypes in columns with check_dtype.</span> |
| |
| <span class="sd"> >>> assert_frame_equal(df1, df2, check_dtype=False)</span> |
| <span class="sd"> """</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">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span> |
| <span class="n">left</span> <span class="o">=</span> <span class="n">left</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</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">right</span> <span class="o">=</span> <span class="n">right</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| |
| <span class="n">pd</span><span class="o">.</span><span class="n">testing</span><span class="o">.</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_dtype</span><span class="o">=</span><span class="n">check_dtype</span><span class="p">,</span> |
| <span class="n">check_index_type</span><span class="o">=</span><span class="n">check_index_type</span><span class="p">,</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="n">check_column_type</span><span class="o">=</span><span class="n">check_column_type</span><span class="p">,</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="n">check_frame_type</span><span class="o">=</span><span class="n">check_frame_type</span><span class="p">,</span> |
| <span class="n">check_names</span><span class="o">=</span><span class="n">check_names</span><span class="p">,</span> |
| <span class="n">by_blocks</span><span class="o">=</span><span class="n">by_blocks</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">check_datetimelike_compat</span><span class="o">=</span><span class="n">check_datetimelike_compat</span><span class="p">,</span> |
| <span class="n">check_categorical</span><span class="o">=</span><span class="n">check_categorical</span><span class="p">,</span> |
| <span class="n">check_like</span><span class="o">=</span><span class="n">check_like</span><span class="p">,</span> |
| <span class="n">check_freq</span><span class="o">=</span><span class="n">check_freq</span><span class="p">,</span> |
| <span class="n">check_flags</span><span class="o">=</span><span class="n">check_flags</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">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> |
| <span class="p">)</span></div> |
| |
| |
| <div class="viewcode-block" id="assert_series_equal"><a class="viewcode-back" href="../../../reference/pyspark.pandas/api/pyspark.pandas.testing.assert_series_equal.html#pyspark.pandas.testing.assert_series_equal">[docs]</a><span class="k">def</span> <span class="nf">assert_series_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">ps</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">Series</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">ps</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">Series</span><span class="p">],</span> |
| <span class="n">check_dtype</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">check_index_type</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"equiv"</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">"equiv"</span><span class="p">,</span> |
| <span class="n">check_series_type</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">check_names</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">check_exact</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">check_datetimelike_compat</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">check_categorical</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">check_category_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="n">check_freq</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">check_flags</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">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0e-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">1.0e-8</span><span class="p">,</span> |
| <span class="n">obj</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"Series"</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">check_index</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">check_like</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="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Check that left and right Series are equal.</span> |
| |
| <span class="sd"> .. versionadded:: 4.0.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> left : Series</span> |
| <span class="sd"> right : Series</span> |
| <span class="sd"> check_dtype : bool, default True</span> |
| <span class="sd"> Whether to check the Series dtype is identical.</span> |
| <span class="sd"> check_index_type : bool or {'equiv'}, default 'equiv'</span> |
| <span class="sd"> Whether to check the Index class, dtype and inferred_type</span> |
| <span class="sd"> are identical.</span> |
| <span class="sd"> check_series_type : bool, default True</span> |
| <span class="sd"> Whether to check the Series class is identical.</span> |
| <span class="sd"> check_names : bool, default True</span> |
| <span class="sd"> Whether to check the Series and Index names attribute.</span> |
| <span class="sd"> check_exact : bool, default False</span> |
| <span class="sd"> Whether to compare number exactly.</span> |
| <span class="sd"> check_datetimelike_compat : bool, default False</span> |
| <span class="sd"> Compare datetime-like which is comparable ignoring dtype.</span> |
| <span class="sd"> check_categorical : bool, default True</span> |
| <span class="sd"> Whether to compare internal Categorical exactly.</span> |
| <span class="sd"> check_category_order : bool, default True</span> |
| <span class="sd"> Whether to compare category order of internal Categoricals.</span> |
| <span class="sd"> check_freq : bool, default True</span> |
| <span class="sd"> Whether to check the `freq` attribute on a DatetimeIndex or TimedeltaIndex.</span> |
| <span class="sd"> check_flags : bool, default True</span> |
| <span class="sd"> Whether to check the `flags` attribute.</span> |
| <span class="sd"> rtol : float, default 1e-5</span> |
| <span class="sd"> Relative tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> atol : float, default 1e-8</span> |
| <span class="sd"> Absolute tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> obj : str, default 'Series'</span> |
| <span class="sd"> Specify object name being compared, internally used to show appropriate</span> |
| <span class="sd"> assertion message.</span> |
| <span class="sd"> check_index : bool, default True</span> |
| <span class="sd"> Whether to check index equivalence. If False, then compare only values.</span> |
| <span class="sd"> check_like : bool, default False</span> |
| <span class="sd"> If True, ignore the order of the index. Must be False if check_index is False.</span> |
| <span class="sd"> Note: same labels must be with the same data.</span> |
| |
| <span class="sd"> Examples</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> >>> from pyspark.pandas import testing as tm</span> |
| <span class="sd"> >>> a = ps.Series([1, 2, 3, 4])</span> |
| <span class="sd"> >>> b = ps.Series([1, 2, 3, 4])</span> |
| <span class="sd"> >>> tm.assert_series_equal(a, b)</span> |
| <span class="sd"> """</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">ps</span><span class="o">.</span><span class="n">Series</span><span class="p">):</span> |
| <span class="n">left</span> <span class="o">=</span> <span class="n">left</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</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">right</span> <span class="o">=</span> <span class="n">right</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| |
| <span class="n">pd</span><span class="o">.</span><span class="n">testing</span><span class="o">.</span><span class="n">assert_series_equal</span><span class="p">(</span> <span class="c1"># type: ignore[call-arg]</span> |
| <span class="n">left</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">,</span> |
| <span class="n">check_dtype</span><span class="o">=</span><span class="n">check_dtype</span><span class="p">,</span> |
| <span class="n">check_index_type</span><span class="o">=</span><span class="n">check_index_type</span><span class="p">,</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="n">check_series_type</span><span class="o">=</span><span class="n">check_series_type</span><span class="p">,</span> |
| <span class="n">check_names</span><span class="o">=</span><span class="n">check_names</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">check_datetimelike_compat</span><span class="o">=</span><span class="n">check_datetimelike_compat</span><span class="p">,</span> |
| <span class="n">check_categorical</span><span class="o">=</span><span class="n">check_categorical</span><span class="p">,</span> |
| <span class="n">check_category_order</span><span class="o">=</span><span class="n">check_category_order</span><span class="p">,</span> |
| <span class="n">check_freq</span><span class="o">=</span><span class="n">check_freq</span><span class="p">,</span> |
| <span class="n">check_flags</span><span class="o">=</span><span class="n">check_flags</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="c1"># type: ignore[arg-type]</span> |
| <span class="n">atol</span><span class="o">=</span><span class="n">atol</span><span class="p">,</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="n">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> |
| <span class="n">check_index</span><span class="o">=</span><span class="n">check_index</span><span class="p">,</span> |
| <span class="n">check_like</span><span class="o">=</span><span class="n">check_like</span><span class="p">,</span> |
| <span class="p">)</span></div> |
| |
| |
| <div class="viewcode-block" id="assert_index_equal"><a class="viewcode-back" href="../../../reference/pyspark.pandas/api/pyspark.pandas.testing.assert_index_equal.html#pyspark.pandas.testing.assert_index_equal">[docs]</a><span class="k">def</span> <span class="nf">assert_index_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">ps</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">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">ps</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">Index</span><span class="p">],</span> |
| <span class="n">exact</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"equiv"</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">"equiv"</span><span class="p">,</span> |
| <span class="n">check_names</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">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">check_categorical</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">check_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="n">rtol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0e-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">1.0e-8</span><span class="p">,</span> |
| <span class="n">obj</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"Index"</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Check that left and right Index are equal.</span> |
| |
| <span class="sd"> .. versionadded:: 4.0.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> left : Index</span> |
| <span class="sd"> right : Index</span> |
| <span class="sd"> exact : bool or {'equiv'}, default 'equiv'</span> |
| <span class="sd"> Whether to check the Index class, dtype and inferred_type</span> |
| <span class="sd"> are identical. If 'equiv', then RangeIndex can be substituted for</span> |
| <span class="sd"> Index with an int64 dtype as well.</span> |
| <span class="sd"> check_names : bool, default True</span> |
| <span class="sd"> Whether to check the names attribute.</span> |
| <span class="sd"> check_exact : bool, default True</span> |
| <span class="sd"> Whether to compare number exactly.</span> |
| <span class="sd"> check_categorical : bool, default True</span> |
| <span class="sd"> Whether to compare internal Categorical exactly.</span> |
| <span class="sd"> check_order : bool, default True</span> |
| <span class="sd"> Whether to compare the order of index entries as well as their values.</span> |
| <span class="sd"> If True, both indexes must contain the same elements, in the same order.</span> |
| <span class="sd"> If False, both indexes must contain the same elements, but in any order.</span> |
| <span class="sd"> rtol : float, default 1e-5</span> |
| <span class="sd"> Relative tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> atol : float, default 1e-8</span> |
| <span class="sd"> Absolute tolerance. Only used when check_exact is False.</span> |
| <span class="sd"> obj : str, default 'Index'</span> |
| <span class="sd"> Specify object name being compared, internally used to show appropriate</span> |
| <span class="sd"> assertion message.</span> |
| |
| <span class="sd"> Examples</span> |
| <span class="sd"> --------</span> |
| <span class="sd"> >>> from pyspark.pandas import testing as tm</span> |
| <span class="sd"> >>> a = ps.Index([1, 2, 3])</span> |
| <span class="sd"> >>> b = ps.Index([1, 2, 3])</span> |
| <span class="sd"> >>> tm.assert_index_equal(a, b)</span> |
| <span class="sd"> """</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">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">):</span> |
| <span class="n">left</span> <span class="o">=</span> <span class="n">left</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">right</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="n">right</span> <span class="o">=</span> <span class="n">right</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span> |
| |
| <span class="n">pd</span><span class="o">.</span><span class="n">testing</span><span class="o">.</span><span class="n">assert_index_equal</span><span class="p">(</span> <span class="c1"># type: ignore[call-arg]</span> |
| <span class="n">left</span><span class="p">,</span> |
| <span class="n">right</span><span class="p">,</span> |
| <span class="n">exact</span><span class="o">=</span><span class="n">exact</span><span class="p">,</span> |
| <span class="n">check_names</span><span class="o">=</span><span class="n">check_names</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">check_categorical</span><span class="o">=</span><span class="n">check_categorical</span><span class="p">,</span> |
| <span class="n">check_order</span><span class="o">=</span><span class="n">check_order</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">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> |
| <span class="p">)</span></div> |
| </pre></div> |
| |
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