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

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653def set_index_post_series(df, index_name, drop, column_dtype):
654 df2 = df.drop("_partitions", axis=1).set_index("_index", drop=True)
655 df2.index.name = index_name
656 df2.columns = df2.columns.astype(column_dtype)
657 return df2
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39def _drop_col(self, df):
40 '''
41 Drops last column, which was added in the parsing procedure due to a
42 trailing white space for each sample in the text file
43 Arguments:
44 df: pandas dataframe
45 Return:
46 df: original df with last column dropped
47 '''
48 return df.drop(df.columns[-1], axis=1)
43def convert_input(X, columns=None, deep=False):
44 """
45 Unite data into a DataFrame.
46 Objects that do not contain column names take the names from the argument.
47 Optionally perform deep copy of the data.
48 """
49 if not isinstance(X, pd.DataFrame):
50 if isinstance(X, pd.Series):
51 X = pd.DataFrame(X, copy=deep)
52 else:
53 if columns is not None and np.size(X,1) != len(columns):
54 raise ValueError('The count of the column names does not correspond to the count of the columns')
55 if isinstance(X, list):
56 X = pd.DataFrame(X, columns=columns, copy=deep) # lists are always copied, but for consistency, we still pass the argument
57 elif isinstance(X, (np.generic, np.ndarray)):
58 X = pd.DataFrame(X, columns=columns, copy=deep)
59 elif isinstance(X, csr_matrix):
60 X = pd.DataFrame(X.todense(), columns=columns, copy=deep)
61 else:
62 raise ValueError('Unexpected input type: %s' % (str(type(X))))
63
64 X = X.apply(lambda x: pd.to_numeric(x, errors='ignore'))
65 elif deep:
66 X = X.copy(deep=True)
67
68 return X
83def _convert_dataframe_1d(idx):
84 _check_idx_1d(idx)
85 idx = idx.iloc[:, 0] if idx.shape[1] == 1 else idx.iloc[0, :]
86 return idx

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