我在pandas中有以下数据透视表:
Division BU/CF Allocation Key CurrentHC
0 Central Functions A NEF 3
1 B NEF 2
2 C EXP 1
3 NEF 4
4 D NEF 3
5 Xerxes E NLE 4
6 F NLE 1
7 G NLE 1
8 H NLE 5
Python显然按字母顺序对分区和BU / CF进行排序。如何将自己的订单应用于数据透视表。
期望的输出:
Division BU/CF Allocation Key CurrentHC
0 Central Functions D NEF 3
1 B NEF 2
2 C EXP 1
3 NEF 4
4 A NEF 3
5 Xerxes E NLE 4
6 H NLE 5
7 G NLE 1
8 F NLE 1
我用来创建数据透视表的代码:
#Create full report pivot
report_pivot = pd.pivot_table(full_report, index=["Division","BU/CF", "Allocation Key"],
values=["Previous HC", "New Hire", "Resigned", "In", "Out", "Current HC", "Delta"],
fill_value=0)
我设法通过这样做重新排列列:
# Reorderr columns
cols = [ "Previous HC", "New Hire", "Resigned", "In", "Out","Delta", "Current HC"]
report_pivot = report_pivot[cols]
索引是否有类似的方式。特别是" BU / CF"
*我排除了除当前HC之外的其他列以简化上表
答案 0 :(得分:1)
#include <stdlib.h>
#include <stdio.h>
char* reverseString(char*);
int main(void)
{
char* s = "hello";
char* out;
out = reverseString(s);
printf("%p %s\n", out, out);
return 0;
}
char* reverseString(char* s)
{
int i;
int size;
char* reverse;
size = sizeof(s);
char reversechar[size];
for (i = 1; i < size + 1; i++)
reversechar[i - 1] = s[size - i];
reverse = reversechar;
//printf("%p\n",reverse);
return reverse;
}
<强>更新强>
从Pandas 0.20.1 the .ix indexer is deprecated, in favor of the more strict .iloc and .loc indexers开始。