如何获取python中每个值的IQR
数据低于df如何获取python中每个值的IQR,python,pandas,statistics,iqr,Python,Pandas,Statistics,Iqr,数据低于df id,cost,spend 1,123456,281257 2,150434,838451 3,100435,757565 4,650343,261071 5,-454236,275760 6,-547296,239225 如何获得每个值的IQR 输出>>id,成本,成本,支出,支出 下面是我的代码 cols = list(df.columns) cols.remove('id') #df[cols] for col in cols: col_zscore = col
id,cost,spend
1,123456,281257
2,150434,838451
3,100435,757565
4,650343,261071
5,-454236,275760
6,-547296,239225
如何获得每个值的IQR
输出>>id,成本,成本,支出,支出
下面是我的代码
cols = list(df.columns)
cols.remove('id')
#df[cols]
for col in cols:
col_zscore = col + '_zscore'
df[col_zscore] = (df[col] - df[col].mean())/df[col].std(ddof=0)
像上面的代码一样,我生成cost_zscore,spend_zscore,如何生成cost_IQR,spend_IQR
或者在for循环中:
df[col + '_IQR'] = df[col].quantile(.75) - df[col].quantile(.25)
结果:
id cost spend cost_IQR spend_IQR
0 1 123456 281257 459257.75 373744.75
1 2 150434 838451 459257.75 373744.75
2 3 100435 757565 459257.75 373744.75
3 4 650343 261071 459257.75 373744.75
4 5 -454236 275760 459257.75 373744.75
5 6 -547296 239225 459257.75 373744.75
id cost spend cost_IQR spend_IQR
0 1 123456 281257 459257.75 373744.75
1 2 150434 838451 459257.75 373744.75
2 3 100435 757565 459257.75 373744.75
3 4 650343 261071 459257.75 373744.75
4 5 -454236 275760 459257.75 373744.75
5 6 -547296 239225 459257.75 373744.75