pandas.DataFrame.sum¶
- DataFrame.sum(axis=0, numeric_only=None, skipna=True, level=None)¶
Return sum over requested axis. NA/null values are excluded
- axis : {0, 1}
- 0 for row-wise, 1 for column-wise
- skipna : boolean, default True
- Exclude NA/null values. If an entire row/column is NA, the result will be NA
- level : int, default None
- If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame
- numeric_only : boolean, default None
- Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric data
sum : Series (or DataFrame if level specified)