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DataFrame.dropna(axis=0, how='any', thresh=None, subset=None, inplace=False)
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Return object with labels on given axis omitted where alternately any or all of the data are missing
Parameters: axis : {0 or ?index?, 1 or ?columns?}, or tuple/list thereof
Pass tuple or list to drop on multiple axes
how : {?any?, ?all?}
- any : if any NA values are present, drop that label
- all : if all values are NA, drop that label
thresh : int, default None
int value : require that many non-NA values
subset : array-like
Labels along other axis to consider, e.g. if you are dropping rows these would be a list of columns to include
inplace : boolean, default False
If True, do operation inplace and return None.
Returns: dropped : DataFrame
DataFrame.dropna()
2017-01-12 04:45:45
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