Rename Pandas column values
Question:
I have pandas dataframe like this
Column 1
Column 2
1
a
2
a
3
b
4
c
5
d
I want to name the column 2 as:
Column 1
Column 2
1
row1
2
row1
3
row2
4
row3
5
row4
I am trying the ways that are hard coded, like renaming each column, but in practice I have lots of rows so hard coding is not possible, is there any function or something python that can do the same task for me?
Answers:
Let’s try Series.factorize
df['Column2'] = (pd.Series(df['Column2'].factorize()[0])
.add(1).astype(str).radd('row'))
print(df)
Column1 Column2
0 1 row1
1 2 row1
2 3 row2
3 4 row3
4 5 row4
I have pandas dataframe like this
Column 1 | Column 2 |
---|---|
1 | a |
2 | a |
3 | b |
4 | c |
5 | d |
I want to name the column 2 as:
Column 1 | Column 2 |
---|---|
1 | row1 |
2 | row1 |
3 | row2 |
4 | row3 |
5 | row4 |
I am trying the ways that are hard coded, like renaming each column, but in practice I have lots of rows so hard coding is not possible, is there any function or something python that can do the same task for me?
Let’s try Series.factorize
df['Column2'] = (pd.Series(df['Column2'].factorize()[0])
.add(1).astype(str).radd('row'))
print(df)
Column1 Column2
0 1 row1
1 2 row1
2 3 row2
3 4 row3
4 5 row4