4 examples of 'convert index to column pandas' in Python

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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

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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 convert_input(X, columns=None, deep=False):
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    """
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    Unite data into a DataFrame.
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    Objects that do not contain column names take the names from the argument.
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    Optionally perform deep copy of the data.
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    """
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    if not isinstance(X, pd.DataFrame):
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        if isinstance(X, pd.Series):
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            X = pd.DataFrame(X, copy=deep)
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        else:
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            if columns is not None and np.size(X,1) != len(columns):
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                raise ValueError('The count of the column names does not correspond to the count of the columns')
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            if isinstance(X, list):
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                X = pd.DataFrame(X, columns=columns, copy=deep)  # lists are always copied, but for consistency, we still pass the argument
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            elif isinstance(X, (np.generic, np.ndarray)):
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                X = pd.DataFrame(X, columns=columns, copy=deep)
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            elif isinstance(X, csr_matrix):
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                X = pd.DataFrame(X.todense(), columns=columns, copy=deep)
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            else:
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                raise ValueError('Unexpected input type: %s' % (str(type(X))))
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            X = X.apply(lambda x: pd.to_numeric(x, errors='ignore'))
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    elif deep:
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        X = X.copy(deep=True)
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    return X

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def _convert_dataframe_1d(idx):
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    _check_idx_1d(idx)
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    idx = idx.iloc[:, 0] if idx.shape[1] == 1 else idx.iloc[0, :]
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    return idx