问题描述
MREPythonDataScienceHandbook/03.05-hierarchical-indexing.html ,关于分层索引的精彩摘要
MRE created with help from https://jakevdp.github.io/PythonDataScienceHandbook/03.05-hierarchical-indexing.html, amazing summary on Hierarchical indexing
MRE:
index = pd.MultiIndex.from_product([[2013, 2014,2015, 2016]],
names=['year'])
columns = pd.MultiIndex.from_product([['Bob', 'Guido', 'Sue'], ['HR', 'group']])
data = np.array([[1,2,3,4,5,"g1"],
[3,6,1,3,2,"g2"],
[3,6,1,2,3,"g1"],
[6,7,8,11,23,"g2"]])
all_df = pd.DataFrame(data, index=index, columns=columns)
根据条件使用一个df和着色单元格的背景效果很好,但是当我尝试将其应用于多张Excel表格时,它似乎不起作用.
Using one df and coloring cell's background depending on condition works fine however when I try to apply it to multiple sheet excel it does not seems to work.
这是我的代码:
def coloring(val):
color = '#EDFFE7' if val in lst else 'white'
return f"background-color: {color}"
groups = ["g1", "g2"]
writer = pd.ExcelWriter("test.xlsx", engine="xlsxwriter")
for g in groups:
df = all_df.loc[all_df[("Sue","group")] == g].copy()
df.style.applymap(coloring).to_excel(writer, sheet_name=g)
writer.save()
此
此外,如何在applymap方法中为子集参数添加索引?
Also, how to add index for subset parameter in applymap method?
推荐答案
似乎您需要将两行都链接起来,因为 df.style.applymap(coloring)
没有分配回去:
It seems you need chain both rows, because df.style.applymap(coloring)
is not assigned back:
df.style.applymap(coloring).to_excel(writer, sheet_name=g)
相反:
df.style.applymap(coloring)
df.to_excel(writer, sheet_name=g)
或分配回来:
df = df.style.applymap(coloring)
df.to_excel(writer, sheet_name=g)
如果列表中的值是整数,则对我来说工作良好,因为如果对混合数据使用 np.array
-具有数字numpy的字符串会将所有数据转换为对象:
for me working well, if values in list are integers, because if use np.array
for mixed data - strings with numbers numpy convert all data to objects:
index = pd.MultiIndex.from_product([[2013, 2014,2015, 2016]],
names=['year'])
columns = pd.MultiIndex.from_product([['Bob', 'Guido', 'Sue'], ['HR', 'group']])
data = np.array([[1,2,3,4,5,"g1"],
[3,6,1,3,2,"g2"],
[3,6,1,2,3,"g1"],
[6,7,8,11,23,"g2"]])
all_df = pd.DataFrame(data, index=index, columns=columns)
print (all_df.dtypes)
Bob HR object
group object
Guido HR object
group object
Sue HR object
group object
dtype: object
因此,如果将嵌套列表传递给 DataFrame
,对我来说一切正常:
So if pass nested lists to DataFrame
all working well for me:
index = pd.MultiIndex.from_product([[2013, 2014,2015, 2016]],
names=['year'])
columns = pd.MultiIndex.from_product([['Bob', 'Guido', 'Sue'], ['HR', 'group']])
data = [[1,2,3,4,5,"g1"],
[3,6,1,3,2,"g2"],
[3,6,1,2,3,"g1"],
[6,7,8,11,23,"g2"]]
all_df = pd.DataFrame(data, index=index, columns=columns)
print (all_df.dtypes)
Bob HR int64
group int64
Guido HR int64
group int64
Sue HR int64
group object
dtype: object
def coloring(val):
color = '#EDFFE7' if val in lst else 'white'
return f"background-color: {color}"
writer = pd.ExcelWriter("test.xlsx", engine="xlsxwriter")
groups = ["g1", "g2"]
lst = [1,2,3]
for g in groups:
df = all_df.loc[all_df[("Sue","group")] == g].copy()
#print (df)
df.style.applymap(coloring).to_excel(writer, sheet_name=g)
writer.save()
这篇关于使用df.style.applymap为多个工作表Excel着色单元格的背景的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!