Source code for pml.utils.pandas_util

# Copyright (C) 2012 David Rusk
#
# Permission is hereby granted, free of charge, to any person obtaining a copy 
# of this software and associated documentation files (the "Software"), to 
# deal in the Software without restriction, including without limitation the 
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 
# sell copies of the Software, and to permit persons to whom the Software is 
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in 
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 
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# IN THE SOFTWARE.
"""
Utility functions for working with pandas datatypes, i.e. DataFrames and 
Series.

@author: drusk
"""

[docs]def get_indices_with_value(series, value): """ Retrieves the indices of a pandas Series which have the specified value. Args: series: pandas.Series The series to search and retrieve indices from. value: The value to search for. Returns: indices: pandas.Index The indices which held the specified value. """ return series.index[series == value]
[docs]def are_dataframes_equal(dataframe1, dataframe2): """ Compares two pandas DataFrame objects to see if they are equal. Args: dataframe1: pandas.DataFrame dataframe2: pandas.DataFrame Returns: True if the DataFrames are identically-labeled and all elements are the same. False otherwise. """ try: # reduce 2d boolean array down to a single answer return (dataframe1 == dataframe2).all().all() except Exception: # pandas throws: # "Exception: Can only compare identically-labeled DataFrame objects" return False

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