我想获取具有 pandas 间隔的列的间隔边距,并将它们写在“左”、“右”列中。 Iterrows 不起作用(文档说它不会用于写入数据)而且无论如何它都不是更好的解决方案。
import pandas as pd
i1 = pd.Interval(left=85, right=94)
i2 = pd.Interval(left=95, right=104)
i3 = pd.Interval(left=105, right=114)
i4 = pd.Interval(left=115, right=124)
i5 = pd.Interval(left=125, right=134)
i6 = pd.Interval(left=135, right=144)
i7 = pd.Interval(left=145, right=154)
i8 = pd.Interval(left=155, right=164)
i9 = pd.Interval(left=165, right=174)
data = pd.DataFrame(
{
"intervals":[i1,i2,i3,i4,i5,i6,i7,i8,i9],
"left" :[0,0,0,0,0,0,0,0,0],
"right" :[0,0,0,0,0,0,0,0,0]
},
index=[0,1,2,3,4,5,6,7,8]
)
#this is not working (has no effect):
for index, row in data.iterrows():
print(row.intervals.left, row.intervals.right)
row.left = row.intervals.left
row.right = row.intervals.right
我们如何做:
data['left']=data['intervals'].left
data['right']=data['intervals'].right
谢谢!
最佳答案
创建一个 pandas.IntervalIndex
从你的间隔。然后,您可以访问 .left
和 .right
属性。
import pandas as pd
idx = pd.IntervalIndex([i1, i2, i3, i4, i5, i6, i7, i8, i9])
pd.DataFrame({'intervals': idx, 'left': idx.left, 'right': idx.right})
intervals left right
0 (85, 94] 85 94
1 (95, 104] 95 104
2 (105, 114] 105 114
3 (115, 124] 115 124
4 (125, 134] 125 134
5 (135, 144] 135 144
6 (145, 154] 145 154
7 (155, 164] 155 164
8 (165, 174] 165 174
另一种选择是使用 map
和 operator.attrgetter
(看吧,没有 lambda
...):
from operator import attrgetter
df['left'] = df['intervals'].map(attrgetter('left'))
df['right'] = df['intervals'].map(attrgetter('right'))
df
intervals left right
0 (85, 94] 85 94
1 (95, 104] 95 104
2 (105, 114] 105 114
3 (115, 124] 115 124
4 (125, 134] 125 134
5 (135, 144] 135 144
6 (145, 154] 145 154
7 (155, 164] 155 164
8 (165, 174] 165 174
关于python - 从一系列 Pandas 间隔中提取左右限制,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/53996015/