Python计算KS值并绘制KS曲线

半只蚂蚁

####################### PlotKS ##########################　　def PlotKS(preds, labels, n, asc):
　　# preds is score: asc=1
　　# preds is prob: asc=0
　　pred = preds  # 预测值
　　bad = labels  # 取1为bad, 0为good
　　ksds = DataFrame({'bad': bad, 'pred': pred})
　　ksds['good'] = 1 - ksds.bad
　　if asc == 1:
　　ksds1 = ksds.sort_values(by=['pred', 'bad'], ascending=[True, True])
　　elif asc == 0:
　　ksds1 = ksds.sort_values(by=['pred', 'bad'], ascending=[False, True])
　　ksds1.index = range(len(ksds1.pred))
　　ksds1['cumsum_good1'] = 1.0*ksds1.good.cumsum()/sum(ksds1.good)
　　ksds1['cumsum_bad1'] = 1.0*ksds1.bad.cumsum()/sum(ksds1.bad)
　　if asc == 1:
　　ksds2 = ksds.sort_values(by=['pred', 'bad'], ascending=[True, False])
　　elif asc == 0:
　　ksds2 = ksds.sort_values(by=['pred', 'bad'], ascending=[False, False])
　　ksds2.index = range(len(ksds2.pred))
　　ksds2['cumsum_good2'] = 1.0*ksds2.good.cumsum()/sum(ksds2.good)
　　ksds2['cumsum_bad2'] = 1.0*ksds2.bad.cumsum()/sum(ksds2.bad)
　　# ksds1 ksds2 -> average
　　ksds = ksds1[['cumsum_good1', 'cumsum_bad1']]
　　ksds['cumsum_good2'] = ksds2['cumsum_good2']
　　ksds['cumsum_bad2'] = ksds2['cumsum_bad2']
　　ksds['cumsum_good'] = (ksds['cumsum_good1'] + ksds['cumsum_good2'])/2
　　ksds['cumsum_bad'] = (ksds['cumsum_bad1'] + ksds['cumsum_bad2'])/2
　　# ks
　　ksds['ks'] = ksds['cumsum_bad'] - ksds['cumsum_good']
　　ksds['tile0'] = range(1, len(ksds.ks) + 1)
　　ksds['tile'] = 1.0*ksds['tile0']/len(ksds['tile0'])
　　qe = list(np.arange(0, 1, 1.0/n))
　　qe.append(1)
　　qe = qe[1:]
　　ks_index = Series(ksds.index)
　　ks_index = ks_index.quantile(q = qe)
　　ks_index = np.ceil(ks_index).astype(int)
　　ks_index = list(ks_index)
　　ksds = ksds.loc[ks_index]
　　ksds = ksds[['tile', 'cumsum_good', 'cumsum_bad', 'ks']]
　　ksds0 = np.array([[0, 0, 0, 0]])
　　ksds = np.concatenate([ksds0, ksds], axis=0)
　　ksds = DataFrame(ksds, columns=['tile', 'cumsum_good', 'cumsum_bad', 'ks'])
　　ks_value = ksds.ks.max()
　　ks_pop = ksds.tile[ksds.ks.idxmax()]
　　print ('ks_value is ' + str(np.round(ks_value, 4)) + ' at pop = ' + str(np.round(ks_pop, 4)))
　　# chart
　　plt.plot(ksds.tile, ksds.cumsum_good, label='cum_good',
　　color='blue', linestyle='-', linewidth=2)
　　plt.plot(ksds.tile, ksds.cumsum_bad, label='cum_bad',
　　color='red', linestyle='-', linewidth=2)
　　plt.plot(ksds.tile, ksds.ks, label='ks',
　　color='green', linestyle='-', linewidth=2)
　　plt.axvline(ks_pop, color='gray', linestyle='--')
　　plt.axhline(ks_value, color='green', linestyle='--')
　　plt.axhline(ksds.loc[ksds.ks.idxmax(), 'cumsum_good'], color='blue', linestyle='--')
　　plt.axhline(ksds.loc[ksds.ks.idxmax(),'cumsum_bad'], color='red', linestyle='--')
　　plt.title('KS=%s ' %np.round(ks_value, 4) +
　　'at Pop=%s' %np.round(ks_pop, 4), fontsize=15)
　　return ksds
　　####################### over ##########################