假设我连接两个DataFrame,如下所示:
$1
生成的DataFrame import numpy as np
import pandas as pd
array1 = np.random.randn(3,3)
array2 = np.random.randn(3,3)
df1 = pd.DataFrame(array1, columns=list('ABC'))
df2 = pd.DataFrame(array2, columns=list('ABC'))
df = pd.concat([df1, df2])
如下所示:
df
请注意,索引与原始DataFrame中的索引相同。我想重新编制 A B C
0 1.297362 0.745510 -0.206756
1 -0.056807 -1.875149 -0.210556
2 0.310837 -1.068873 2.054006
0 1.163739 -0.678165 2.626052
1 -0.557625 -1.448195 -1.391434
2 0.222607 -0.334348 0.672643
索引,以便索引只从df
运行到0
。我怎么能这样做?
(我已尝试5
,但这会产生df = df.reindex(index = range(df.shape[0]))
。这是因为原始轴包含重复项(两个ValueError: cannot reindex from a duplicate axis
s,两个0
s等。) )。
答案 0 :(得分:4)
答案 1 :(得分:0)
使用EdChum的设置
If Country = wbregion.Worksheets("Country").Name Then 'subscript out of range
For i = 1 To cntyn
For j = 5 To forec
If Cells(i, "A").value = rcell Then
If Cells(i, "C").value = wbregion.Worksheets("Country").Cells(j, "B").value Then
srange1 = "I" & j & ":" & "n" & j
srange2 = "D" & i & ":" & "i" & i
wsforecast.Range(srange2).Value2 = wsregion.Range(srange1).Value2
End If
End If
Next j
Next i
End If
Next k