Pandas transpose inside dataframe
Now I have this datasate:
animal age count
dogs 1 49
2 134
3 147
4 154
cats 1 189
2 254
3 259
4 261
I would like to convert the age column to 4 age columns for each age:
animal age1 age2 age3 age4
dogs 49 134 147 154
cats ....................
I've tried df.T and df.transpose (), but they both return my original column.
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1 answer
You can use pd.pivot :
In [25]: result = df.pivot(index='animal', columns='age', values='count')
In [26]: result
Out[26]:
age 1 2 3 4
animal
cats 189 254 259 261
dogs 49 134 147 154
In [27]: result.columns = ['age{:d}'.format(col) for col in result.columns]
In [28]: result
Out[28]:
age1 age2 age3 age4
animal
cats 189 254 259 261
dogs 49 134 147 154
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