''' Try Smallest correlation '''
# Get smallest Correlation
smallest_correlation = correlation_waves.idxmin(axis=1)
''' Try No correlation '''
smallest_correlation = correlation_waves.idxmax(axis=1)
''' Try Smallest Correlation with smallest pairs '''
smallest_correlation = correlation_waves.idxmin(axis=1)
first = pd.DataFrame(location_measure.aud)
first.columns = ['first']
second = pd.DataFrame(location_measure.aud)
second.columns = ['second']
first['location'] = first.index
second['location'] = second.index
for col in location_measure.columns:
first_index = location_measure[(location_measure.abs().rank(
axis=1)[col] == 1)].index.values
second_index = location_measure[(location_measure.abs().rank(
axis=1)[col] == 2)].index.values
first.loc[first_index] = str(col)
second.loc[second_index] = str(col)
first['location'] = first.index
second['location'] = second.index
first_with_slope = slopes_waves.stack().loc[[
tuple(x) for x in first[['location', 'first']].values
]]
second_with_slope = slopes_waves.stack().loc[[
tuple(x) for x in second[['location', 'second']].values
]]
rank_and_slope = first_with_slope
rank_and_slope.columns = ['first', 'first_slope']
rank_and_slope['second'] = second_with_slope
