python/pyspark/sql/pandas/utils.py

#
# Licensed to the Apache Software Foundation (ASF) under one or more
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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
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#
#    http://www.apache.org/licenses/LICENSE-2.0
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def require_minimum_pandas_version():
    """ Raise ImportError if minimum version of Pandas is not installed
    """
    # TODO(HyukjinKwon): Relocate and deduplicate the version specification.
    minimum_pandas_version = "0.23.2"

    from distutils.version import LooseVersion
    try:
        import pandas
        have_pandas = True
    except ImportError:
        have_pandas = False
    if not have_pandas:
        raise ImportError("Pandas >= %s must be installed; however, "
                          "it was not found." % minimum_pandas_version)
    if LooseVersion(pandas.__version__) < LooseVersion(minimum_pandas_version):
        raise ImportError("Pandas >= %s must be installed; however, "
                          "your version was %s." % (minimum_pandas_version, pandas.__version__))


def require_minimum_pyarrow_version():
    """ Raise ImportError if minimum version of pyarrow is not installed
    """
    # TODO(HyukjinKwon): Relocate and deduplicate the version specification.
    minimum_pyarrow_version = "1.0.0"

    from distutils.version import LooseVersion
    import os
    try:
        import pyarrow
        have_arrow = True
    except ImportError:
        have_arrow = False
    if not have_arrow:
        raise ImportError("PyArrow >= %s must be installed; however, "
                          "it was not found." % minimum_pyarrow_version)
    if LooseVersion(pyarrow.__version__) < LooseVersion(minimum_pyarrow_version):
        raise ImportError("PyArrow >= %s must be installed; however, "
                          "your version was %s." % (minimum_pyarrow_version, pyarrow.__version__))
    if os.environ.get("ARROW_PRE_0_15_IPC_FORMAT", "0") == "1":
        raise RuntimeError("Arrow legacy IPC format is not supported in PySpark, "
                           "please unset ARROW_PRE_0_15_IPC_FORMAT")