Pandas DataFrame: Create a dataframe from a dictionary and display it
Pandas: DataFrame Exercise-1 with Solution
Write a Pandas program to create a dataframe from a dictionary and display it.
Sample data: {'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]}
Sample Solution :
Python Code :
import pandas as pd
df = pd.DataFrame({'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
print(df)
Sample Output:
X Y Z 0 78 84 86 1 85 94 97 2 96 89 96 3 80 83 72 4 86 86 83
Explanation:
df = pd.DataFrame({'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
The above code creates a pandas DataFrame object named ‘df’ with three columns X, Y, and Z and five rows. The values for each column are provided in a dictionary with keys X, Y, and Z.
The print(df) statement prints the entire DataFrame to the console.
Python-Pandas Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Python Pandas Data Series, DataFrame Exercises Home.
Next: Write a Pandas program to create and display a DataFrame from a specified dictionary data which has the index labels.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/python-exercises/pandas/python-pandas-data-frame-exercise-1.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics