我需要将几列中绝对值小于阈值列对应值的空值置为null
import pandas as pd
import numpy as np
df=pd.DataFrame({'key1': ['Ohio', 'Ohio', 'Ohio', 'Nevada', 'Nevada'],
'key2': [2000, 2001, 2002, 2001, 2002],
'data1': np.random.randn(5),
'data2': np.random.randn(5),
'threshold': [0.5,0.4,0.6,0.1,0.2]}).set_index(['key1','key2'])
data1 data2 threshold
key1 key2
Ohio 2000 0.201240 0.083833 0.5
2001 -1.993489 -1.081208 0.4
2002 0.759038 -1.688769 0.6
Nevada 2001 -0.543916 1.412679 0.1
2002 -1.545781 0.181224 0.2
这给我一个错误"无法加入没有指定级别和没有重叠名称的级别"。 df.where(df.abs()>df['threshold'])
这个可以工作,但显然是针对标量的。df.where(df.abs()>0.5)
data1 data2 threshold
key1 key2
Ohio 2000 NaN NaN NaN
2001 -1.993489 -1.081208 NaN
2002 0.759038 -1.688769 NaN
Nevada 2001 -0.543916 1.412679 NaN
2002 -1.545781 NaN NaN
顺便说一句,这似乎给出了一个不错的结果 - 仍然想知道如何使用where()方法实现
df.apply(lambda x:x.where(x.abs()>x['threshold']),axis=1)