Example of how to set a Column as Index in Pandas DataFrame:
Create a dataframe
Lets create a dataframe with pandas
import pandas as pd
data = {'Age':[21,26,82,15,28],
'Id':['jch2c1','63jc2h','hg217d','hj127b','edew32'],
'weight':[120,148,139,156,129],
'Gender':['male','male','female','male','female'],
'Country':['France','USA','USA','Germany','USA']}
df = pd.DataFrame(data=data)
print(df)
returns
Age Id weight Gender Country
0 21 jch2c1 120 male France
1 26 63jc2h 148 male USA
2 82 hg217d 139 female USA
3 15 hj127b 156 male Germany
4 28 edew32 129 female USA
Set a column as Index in Pandas DataFrame
We want for example here to set the column named Id as index of the dataframe. To do that a solution is to use pandas.DataFrame.set_index
df.set_index('Id', inplace=True)
print(df)
returns
Age weight Gender Country
Id
jch2c1 21 120 male France
63jc2h 26 148 male USA
hg217d 82 139 female USA
hj127b 15 156 male Germany
edew32 28 129 female USA
Reset dataframe index
To reset dataframe index, a solution is to do (see also How to reset dataframe index with pandas in python ?)
df.reset_index(drop=False, inplace=True)
print(df)
returns
Id Age weight Gender Country
0 jch2c1 21 120 male France
1 63jc2h 26 148 male USA
2 hg217d 82 139 female USA
3 hj127b 15 156 male Germany
4 edew32 28 129 female USA