If I want to change variable names in a data frame using pandas can I change the names without using pandas.df.rename() function but by using applymap() For example
Registrar Enrolment Agency State District Sub District Pin Code Gender
Allahabad Bank Tera Software Ltd Jharkhand Ranchi Namkum 834003 M
Allahabad Bank Tera Software Ltd Jharkhand Ranchi Ranchi 834004 F
Allahabad Bank Vakrangee Softwares Limited Gujarat Surat Nizar 394380 M
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I need to fill spaces in the variable names in the above data frame with "_" and all the variable names should be in lower case
函数applymap用于更改DataFrame元素的所有值,因此更改列名是另一种方法。
我认为你需要list comprehension用python str的功能lower和replace(它不工作是否NaN):
df.columns = [col.lower().replace(' ', '_') for col in df.columns]
print (df)
registrar enrolment_agency state district sub_district \
0 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Namkum
1 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Ranchi
2 Allahabad Bank Vakrangee Softwares Limited Gujarat Surat Nizar
pin_code gender
0 834003 M
1 834004 F
2 394380 M
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或具有pandas str功能lower和的解决方案replace:
df.columns = df.columns.str.replace(' ', '_').str.lower()
print (df)
registrar enrolment_agency state district sub_district \
0 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Namkum
1 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Ranchi
2 Allahabad Bank Vakrangee Softwares Limited Gujarat Surat Nizar
pin_code gender
0 834003 M
1 834004 F
2 394380 M
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编辑:
如果需要更改列名applymap是不可能的,因为这个函数没有为Index( column names)实现。但如果真的想要类似的用途map:
df.columns = df.columns.map(lambda col: col.lower().replace(' ', '_'))
print (df)
registrar enrolment_agency state district sub_district \
0 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Namkum
1 Allahabad Bank Tera Software Ltd Jharkhand Ranchi Ranchi
2 Allahabad Bank Vakrangee Softwares Limited Gujarat Surat Nizar
pin_code gender
0 834003 M
1 834004 F
2 394380 M
Run Code Online (Sandbox Code Playgroud)
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