我想groupby
和sortindex
对dataframe
进行样式化。但是,编译器返回一个错误
KeyError: ('Other', 'B')
我可以知道这里有什么问题吗
The code to reproduce the above error:
import pandas as pd
import numpy as np
dict_map=dict(group_one=['D','GG','G'],group_two=['A','C','E','F'])
vv=np.random.randn(5, 4)
# ['foo', '*', 'bar','ff']
nn=np.array([['foo', '*', 'bar','ff'], ['foo', '*', 'bar','**'],
['foo', '*', 'bar','**'],['foo', '*', 'bar','ff'],
['foo', '*', '**','ff']])
arrays = [["bar", "bar", "baz", "baz"],
["one", "two", "one", "two"]]
tuples = list(zip(*arrays))
index = pd.MultiIndex.from_tuples(tuples, names=["first", "second"])
df = pd.DataFrame(nn, index=["A", "B", "C","D",'G'], columns=index)
df = df.rename_axis ( index=['my_ch'] ).reset_index()
d = {i:k for k,v in dict_map.items() for i in v}
out = df.assign(Group=df.xs("my_ch",axis=1).map(d).fillna('Other'))
def highlight_(s):
return np.select(
condlist=[s.str.contains('\*\*'), s.str.contains('\*')],
choicelist=['background-color:green', 'background-color:purple'],
default='')
df=out.style.apply(highlight_)
df.data=df.data.set_index(['Group', 'my_ch'])
df.data=df.data.sort_index(level=0)
df.to_excel('n1test.xlsx')
请注意,在实际用例中。需要对索引level 0
进行排序
这应该起作用:
主要区别在于先排序,然后设置索引,然后应用样式器并将其保存为Excel文件。所有表达式都用括号括起来,而不是换行符
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