python 2.7 - Get row-index of the last non-NaN value in each column of a pandas data frame -


how can return row index location of last non-nan value each column of pandas data frame , return locations pandas dataframe?

use notnull , idxmax index values of non nan values

in [22]:  df = pd.dataframe({'a':[0,1,2,nan], 'b':[nan, 1,nan, 3]}) df out[22]:       b 0   0 nan 1   1   1 2   2 nan 3 nan   3 in [29]:  df[pd.notnull(df)].idxmax() out[29]:    2 b    3 dtype: int64

edit

actually correctly pointed out @caleb can use last_valid_index designed this:

in [3]: df = pd.dataframe({'a':[3,1,2,np.nan], 'b':[np.nan, 1,np.nan, -1]}) df  out[3]:       b 0   3 nan 1   1   1 2   2 nan 3 nan  -1  in [6]: df.apply(pd.series.last_valid_index)  out[6]:    2 b    3 dtype: int64

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