pandas dataframe order by code example

Example 1: sort a dataframe by a column valuepython

>>> df.sort_values(by=['col1'])
    col1 col2 col3
0   A    2    0
1   A    1    1
2   B    9    9
5   C    4    3
4   D    7    2
3   NaN  8    4

Example 2: df sort values

>>> df.sort_values(by=['col1'], ascending = False)
    col1 col2 col3
0   A    2    0
1   A    1    1
2   B    9    9
5   C    4    3
4   D    7    2
3   NaN  8    4

Example 3: sorting by column in pandas

#Python, Pandas
#Sorting dataframe df on the values of a column col1
#Temporary
df.sort_values(by=["col1"]) 

#Permanent
df.sort_values(by=["col1"], inplace = True)

Example 4: sort by dataframe

DataFrame.sort_values(self, by, axis=0, ascending=True,
                      inplace=False, kind='quicksort',
                      na_position='last',
                      ignore_index=False)

# Example
df.sort_values(by=['ColToSortBy'])

Example 5: sort a dataframe

sort_na_first = gapminder.sort_values('lifeExp',na_position='first')

Example 6: how to sort the dataframe in python

import pandas as pd
df1=pd.read_csv("registration.csv")
df2=pd.read_csv("payment.csv")
df=pd.merge(df1,df2)
print(df.iloc[:,[0,1,3,4]].to_string(index=False))