w3resource
Python Pandas Exercises

Pandas: Select rows from a given DataFrame based on values in some columns

Pandas: DataFrame Exercise-24 with Solution

Write a Pandas program to select rows from a given DataFrame based on values in some columns.

Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 4 5 8
2 3 6 9
3 4 7 0
4 5 8 1
Rows for colum1 value == 4
col1 col2 col3
1 4 5 8
3 4 7 0

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
d = {'col1': [1, 4, 3, 4, 5], 'col2': [4, 5, 6, 7, 8], 'col3': [7, 8, 9, 0, 1]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print('Rows for colum1 value == 4')
print(df.loc[df['col1'] == 4])

Sample Output:

      Original DataFrame
   col1  col2  col3
0     1     4     7
1     4     5     8
2     3     6     9
3     4     7     0
4     5     8     1
Rows for colum1 value == 4
   col1  col2  col3
1     4     5     8
3     4     7     0            

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to rename columns of a given DataFrame.
Next: Write a Pandas program to change the order of a DataFrame columns.

What is the difficulty level of this exercise?



New Content: Composer: Dependency manager for PHP, R Programming