toad.plot module

toad.plot.badrate_plot(frame, x=None, target='target', by=None, freq=None, format=None, return_counts=False, return_proportion=False, return_frame=False)

plot for badrate

Parameters:

• frame (DataFrame) –
• x (str) – column in frame that will be used as x axis
• target (str) – target column in frame
• by (str) – column in frame that will be calculated badrate by it
• freq (str) – offset aliases string by pandas http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases
• format (str) – format string for time
• return_counts (bool) – if need return counts plot
• return_frame (bool) – if need return frame

Returns:

badrate plot Axes: counts plot Axes: proportion plot Dataframe: grouping detail data

Return type:

Axes

toad.plot.corr_plot(frame, figure_size=(20, 15))

plot for correlation

Parameters:frame (DataFrame) – frame to draw plot Returns:Axes

toad.plot.proportion_plot(x=None, keys=None)

plot for comparing proportion in different dataset

Parameters:

• x (Series|list) – series or list of series data for plot
• keys (str|list) – keys for each data

Returns:

Axes

toad.plot.roc_plot(score, target, compare=None)

plot for roc

Parameters:

• score (array-like) – predicted score
• target (array-like) – true target
• compare (array-like) – another score for comparing with score

Returns:

Axes

toad.plot.bin_plot(frame, x=None, target='target', iv=True, annotate_format='.2f')

plot for bins

Parameters:

• frame (DataFrame) –
• x (str) – column in frame that will be used as x axis
• target (str) – target column in frame
• iv (bool) – if need to show iv in plot
• annotate_format (str) – format str for axis annotation of chart

Returns:

bins’ proportion and badrate plot

Return type:

Axes