Pandas: Count number of columns of a DataFrame - w3resource
w3resource

Pandas: Count number of columns of a DataFrame

Pandas: DataFrame Exercise-57 with Solution

Write a Pandas program to count number of columns of a DataFrame.

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3, 4, 7], 'col2': [4, 5, 6, 9, 5], 'col3': [7, 8, 12, 1, 11]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print("\nNumber of columns:")
print(len(df.columns))

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6    12
3     4     9     1
4     7     5    11

Number of columns:
3

Python-Pandas Code Editor:

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

Previous: Write a Pandas program to get column index from column name of a given DataFrame.
Next: Write a Pandas program to select all columns, except one given column in a DataFrame.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Share this Tutorial / Exercise on : Facebook and Twitter

Python: Tips of the Day

Join Strings in an Iterable:

>>> words = ('Hello', 'Python', 'Programmers')
>>> '!'.join(words)
'Hello!Python!Programmers'
>>> words_dict = {0: 'zero', 1: 'one', 2: 'two', 3: 'three'}
>>> '&'.join(words_dict.values())
'zero&one&two&three'