pandas get column average/mean
Pandas Column Average/Mean: Easy Solutions and Examples 😎
So you're trying to calculate the average or mean of a column in your pandas dataframe, but you're encountering some issues. Don't worry, we've got you covered! In this blog post, we'll walk you through common problems and provide easy solutions using pandas.
Problem: Getting Multiple Values Instead of the Column Average 😕
Let's take a look at the code snippet you provided:
>>> allDF[['weight']].mean(axis=1)When you run this code, you're getting several values instead of the expected average of the weight column. This is because you're using axis=1, which calculates the mean across the rows instead of the columns.
Solution 1: Calculate Column Average without Specifying Axis 🤓
To obtain the average of a column, you can simply remove the axis=1 parameter. Here's the modified code:
>>> allDF['weight'].mean()By omitting the axis parameter, pandas automatically calculates the mean along the column axis (which is what we want), giving you a single value representing the average.
Solution 2: Grouping by the Column and Calculating the Mean 📊
The second code snippet you mentioned groups the dataframe by the weight column and then calculates the mean for each group. If you're looking for the average of the entire column, this approach will not give you the desired result.
To calculate the average of the entire weight column, you can use the following code:
>>> allDF['weight'].mean()This will return the average of the weight column, just like Solution 1.
Conclusion and Call-to-Action 📝
Now that you've learned the easy solutions to calculate the average/mean of a column using pandas, it's time to put your newfound knowledge into practice! Feel free to try these solutions on your own dataframe and share your experience in the comments section.
If you have any further questions or need assistance with any other pandas-related issues, don't hesitate to reach out. We're here to help you become a pandas pro! 🐼💪
Happy coding! 💻✨
