python - Row and column indexes of True values -

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i have nxn pandas dataframe contains booleans. example:

in[56]: df out[56]:         15     25     35     45     55 10   true  false  false  false  false 20  false   true  false  false  false 30  false  false   true  false  false 40  false  false  false   true  false 50  false  false  false  false   true

what need collapse frame nx2 pandas dataframe has index , column values have true @ intersection record values. example:

in[62]: res out[62]:      0   1 0  10  15 1  20  25 2  30  35 3  40  45 4  50  55

can't seem find simple way this.

pd.melt "unpivots" dataframe wide long format:

result = pd.melt(df.reset_index(), id_vars=['index']) mask = result['value'] == true result = result.loc[mask, ['index', 'variable']] result.columns = [0, 1] print(result)

yields

     0   1 0   10  15 6   20  25 12  30  35 18  40  45 24  50  55

ps. desired dataframe has 2 columns have values act coordinates. df.pivot method converts dataframes coordinate-like columns "wide-format" dataframes original dataframe. when want go other way, use pd.melt.


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