DataFrame.append()

DataFrame.append(other, ignore_index=False, verify_integrity=False) [source]

Append rows of other to the end of this frame, returning a new object. Columns not in this frame are added as new columns.

Parameters:

Parameters:	other : DataFrame or Series/dict-like object, or list of these The data to append. ignore_index : boolean, default False If True, do not use the index labels. verify_integrity : boolean, default False If True, raise ValueError on creating index with duplicates.
Returns:	appended : DataFrame

other : DataFrame or Series/dict-like object, or list of these

The data to append.

ignore_index : boolean, default False

If True, do not use the index labels.

verify_integrity : boolean, default False

If True, raise ValueError on creating index with duplicates.

Returns:

appended : DataFrame

Notes

If a list of dict/series is passed and the keys are all contained in the DataFrame?s index, the order of the columns in the resulting DataFrame will be unchanged.

Examples

>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
   A  B
0  1  2
1  3  4
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
   A  B
0  1  2
1  3  4
0  5  6
1  7  8

With ignore_index set to True:

>>> df.append(df2, ignore_index=True)
   A  B
0  1  2
1  3  4
2  5  6
3  7  8

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.append.html

doc_Pandas

2017-01-12 04:45:30

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