Python添加或去掉百分号

数据：

import pandas._testing as tm 
data = tm.makeDataFrame()
data = data.iloc[:5,:]

示例数据：

			A			B			C			D
6EBYVo9iQi	0.882518	0.339440	-0.217167	-0.676183
IyhMRuQSXG	0.061733	0.609938	0.355072	-2.146710
gpODAvDD2D	0.606683	0.015434	1.555183	-0.188078
ogf2ehtyPu	0.230608	-1.180461	-0.668320	-1.285371
XC5JreZ09b	1.435801	1.635244	0.071926	0.607659

df.A.apply(lambda x:'%.2f%%'%(x*100))

结果：

JhLXvH3BPu      79.09%
uuwmJvHWGd     -18.96%
DVxwCHCNb5    -118.98%
fngKR8n0JB     -83.89%
YOPSTN41Zt      62.11%
Name: A, dtype: object

df.loc[:,['A','B']].applymap(lambda x:'%.2f%%'%(x*100))
# 整体：df.applymap(lambda x:'%.2f%%'%(x*100))

结果：

	A	B
JhLXvH3BPu	79.09%	-82.60%
uuwmJvHWGd	-18.96%	7.79%
DVxwCHCNb5	-118.98%	-21.30%
fngKR8n0JB	-83.89%	179.41%
YOPSTN41Zt	62.11%	-88.16%

tips：

• iloc与loc的区别在于，前者是行名索引，后者列名索引，也就意味着使用loc给行传数字的时候会报错
• apply与applymap的区别在于，前者使用对象通常为Series，后者使用对象通常为DataFrame

	A	B	C	D
JhLXvH3BPu	79.09%	-82.60%	53.79%	101.07%
uuwmJvHWGd	-18.96%	7.79%	-157.80%	46.24%
DVxwCHCNb5	-118.98%	-21.30%	196.96%	262.79%
fngKR8n0JB	-83.89%	179.41%	110.90%	-190.75%
YOPSTN41Zt	62.11%	-88.16%	73.86%	-112.09%

使用applymap()去掉

df.applymap(lambda x:x if not '%' in str(x) else x.replace('%',''))

结果：

	A	B	C	D
JhLXvH3BPu	79.09	-82.60	53.79	101.07
uuwmJvHWGd	-18.96	7.79	-157.80	46.24
DVxwCHCNb5	-118.98	-21.30	196.96	262.79
fngKR8n0JB	-83.89	179.41	110.90	-190.75
YOPSTN41Zt	62.11	-88.16	73.86	-112.09