Sort column in pandas dataframe python

Sorting a column in pandas python can be accomplished using sort_values() function. let’s  see how to

• Sort column in pandas dataframe in ascending order (increasing order)
• Sort column in pandas dataframe in descending order (decreasing order)

First let’s create a dataframe

import pandas as pd
import numpy as np

df1 = {
    'State':['Arizona','Georgia','Newyork','Indiana','Florida'],
   'Score1':[4,47,55,74,31]}

df1 = pd.DataFrame(df1,columns=['State','Score1'])
print(df1)

df1 will be

Sort numeric column in pandas in ascending order

df1.sort_values('Score1',inplace=True)
print (df1)

Sort_values() function sorts in ascending order. Inplace =True replaces the current column. So resultant dataframe will be

Sort numeric column in pandas in descending order:

df1.sort_values('Score1',inplace=True, ascending=False)
print(df1)

Sort_values() function with ascending =False argument sorts in descending order. Inplace =True replaces the current column. So resultant dataframe will be

Sort character column in pandas – ascending order:

df1.sort_values('State',inplace=True)
print (df1)

resultant dataframe will be

Sort character column in pandas in descending order:

df1.sort_values('State',inplace=True, ascending=False)
print (df1)

resultant dataframe will be