pyspark.pandas.DataFrame.append¶
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DataFrame.append(other: pyspark.pandas.frame.DataFrame, ignore_index: bool = False, verify_integrity: bool = False, sort: bool = False) → pyspark.pandas.frame.DataFrame[source]¶ Append rows of other to the end of caller, returning a new object.
Columns in other that are not in the caller are added as new columns.
- Parameters
- otherDataFrame or Series/dict-like object, or list of these
The data to append.
- ignore_indexboolean, default False
If True, do not use the index labels.
- verify_integrityboolean, default False
If True, raise ValueError on creating index with duplicates.
- sortboolean, default False
Currently not supported.
- Returns
- appendedDataFrame
Examples
>>> df = ps.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df.append(df) A B 0 1 2 1 3 4 0 1 2 1 3 4
>>> df.append(df, ignore_index=True) A B 0 1 2 1 3 4 2 1 2 3 3 4