pyspark.pandas.DataFrame.add_prefix¶
-
DataFrame.add_prefix(prefix: str) → pyspark.pandas.frame.DataFrame[source]¶ Prefix labels with string prefix.
For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed.
- Parameters
- prefixstr
The string to add before each label.
- Returns
- DataFrame
New DataFrame with updated labels.
See also
Series.add_prefixPrefix row labels with string prefix.
Series.add_suffixSuffix row labels with string suffix.
DataFrame.add_suffixSuffix column labels with string suffix.
Examples
>>> df = ps.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]}, columns=['A', 'B']) >>> df A B 0 1 3 1 2 4 2 3 5 3 4 6
>>> df.add_prefix('col_') col_A col_B 0 1 3 1 2 4 2 3 5 3 4 6