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)[source]

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))[source]

plot for correlation

Parameters

frame (DataFrame) – frame to draw plot

Returns

Axes

toad.plot.proportion_plot(x=None, keys=None)[source]

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, figsize=(14, 10))[source]

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.ks_plot(score, target, figsize=(14, 10))[source]

plot for ks

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', return_frame=False, figsize=(12, 6))[source]

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

  • return_frame (bool) – if need return bin frame

  • figsize (tuple) – size of the figure (width, height)

Returns

contains good, bad, badrate, prop, y_prop, n_prop, woe, iv

Return type

Dataframe