4 examples of 'rename columns pandas' in Python

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def df_column_types_rename(df):
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    result = [df[x].dtype.name for x in list(df.columns)]
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    result[:] = [x if x != 'object' else 'string' for x in result]
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    result[:] = [x if x != 'int64' else 'integer' for x in result]
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    result[:] = [x if x != 'float64' else 'double' for x in result]
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    result[:] = [x if x != 'bool' else 'boolean' for x in result]
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    return result

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def _drop_col(self, df):
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    '''
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    Drops last column, which was added in the parsing procedure due to a
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    trailing white space for each sample in the text file
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    Arguments:
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        df: pandas dataframe
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    Return:
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        df: original df with last column dropped
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    '''
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    return df.drop(df.columns[-1], axis=1)

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def matchColumnNames(df):
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    return df.rename(
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        columns={
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            "id": "vehicle_id",
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            "heading": "direction",
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            "secsSinceReport": "seconds_since_report",
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            "lat": "latitude",
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            "lon": "longitude",
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            "routeTag": "line"
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        }
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    )

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def set_index_post_series(df, index_name, drop, column_dtype):
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    df2 = df.drop("_partitions", axis=1).set_index("_index", drop=True)
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    df2.index.name = index_name
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    df2.columns = df2.columns.astype(column_dtype)
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    return df2