If you only want the mean of the weight column, select the column (which is a Series) and call .mean():
In [479]: df
Out[479]:
ID birthyear weight
0 619040 1962 0.123123
1 600161 1963 0.981742
2 25602033 1963 1.312312
3 624870 1987 0.942120
In [480]: df.loc[:, 'weight'].mean()
Out[480]: 0.83982437500000007
Answer from DSM on Stack Overflow Top answer 1 of 4
447
If you only want the mean of the weight column, select the column (which is a Series) and call .mean():
In [479]: df
Out[479]:
ID birthyear weight
0 619040 1962 0.123123
1 600161 1963 0.981742
2 25602033 1963 1.312312
3 624870 1987 0.942120
In [480]: df.loc[:, 'weight'].mean()
Out[480]: 0.83982437500000007
2 of 4
50
Try df.mean(axis=0) , axis=0 argument calculates the column wise mean of the dataframe so the result will be axis=1 is row wise mean so you are getting multiple values.
In a pandas dataframe, how to find the average value within specific categories as denoted in another column. See example in the description.
GroupBy in Pandas More on reddit.com
[pandas] df.mean() gives different results to calculating mean in Excel?
Ah ****. I've just realised exactly what's causing this. batting_df.mean() was including the Totals row. The reason it was pretty much double, was because everything was being added up twice, then divided by n+1 instead of n*2. What an idiot. More on reddit.com
Grouping by week in Pandas
I'm not entirely sure what your df is like (can you share the result of df.head()?), but if you have a row column with type datetime (or can get one with pd.to_datetime()), then try df.groupby(df['date'].dt.week).count() where 'date' is the name of your dates column. You can also get other summary statistics by replacing .count() with e.g. .mean(). More on reddit.com
How to combine rolling and resampling in pandas?
If you use pandas datetimeindex (pd.to_datetime) on your date column and then resample, there will be a different number datapoints depending on the value you use for the new sampling interval. You can choose these values based on mean(), min(), max(), sum() etc. By resampling you are creating a new data set with data-points at the specified intervals. More on reddit.com
03:06
Mean of Columns & Rows of pandas DataFrame in Python (Examples) ...
12:33
pandas - How to find the mean and sum of single or multiple columns ...
05:34
Calculate Mean in Python (5 Examples) | pandas DataFrame & NumPy ...
Weighted Average Calculation in Pandas - YouTube
03:33
Pandas Mean - Get Average | pd.DataFrame.mean() - YouTube
02:14
Mean or Average for a measure in a pandas dataframe - YouTube
Pandas
pandas.pydata.org › docs › reference › api › pandas.DataFrame.mean.html
pandas.DataFrame.mean — pandas 3.0.6 documentation
Return the mean of the values over the requested axis · Axis for the function to be applied on. For Series this parameter is unused and defaults to 0
Reddit
reddit.com › r/learnpython › in a pandas dataframe, how to find the average value within specific categories as denoted in another column. see example in the description.
r/learnpython on Reddit: In a pandas dataframe, how to find the average value within specific categories as denoted in another column. See example in the description.
May 27, 2023 -
I have this:
| Category | Value |
|---|---|
| A | 2 |
| A | 4 |
| A | 6 |
| A | 4 |
| B | 3 |
| B | 4 |
| B | 5 |
And I want this:
| Category | Value |
|---|---|
| A | 4 |
| B | 4 |
I want the average values, but specifically within the A and B categories.
Thanks!
IncludeHelp
includehelp.com › python › how-to-calculate-average-mean-of-pandas-column.aspx
How to calculate average/mean of Pandas column?
September 21, 2023 - Suppose we have a series of numbers from 1 to 10, then the average of this series will be: ∑x = 1+2+3+4+5+6+7+8+9+10 ∑x = 55 n = 10 x̄ = 55/10 x̄ = 5.5 · In pandas, we use pandas.DataFrame['col'].mean() directly to calculate the average value of a column.
Arab Psychology
scales.arabpsychology.com › home › how to easily calculate the average of specific columns in pandas
How To Easily Calculate The Average Of Specific Columns In Pandas
December 2, 2025 - Understanding this distinction is the foundation of efficient data manipulation within Python using the Pandas library. The calculation of average row values can be achieved using two principal methods, depending entirely on whether the analysis requires all numerical columns to be included or just a select subset.
W3Schools
w3schools.com › python › pandas › ref_df_mean.asp
Pandas DataFrame mean() Method
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP C C++ C# AWS W3.CSS HOW TO BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS DSA TYPESCRIPT ANGULAR ANGULARJS GIT POSTGRESQL MONGODB ASP AI R GO KOTLIN SWIFT SASS VUE GEN AI SCIPY CYBERSECURITY DATA SCIENCE INTRO TO PROGRAMMING INTRO TO ...
TechBeamers
techbeamers.com › pandas-get-column-average-mean
Python: Pandas Get Average Of Column Or Mean - TechBeamers
November 30, 2025 - We covered importing Pandas, loading a sample dataset, handling missing values, and calculating averages for both single and multiple columns. Pandas provides a powerful and intuitive way to work with data, making tasks like this a breeze. As you continue your journey with Python, you’ll find Pandas to be an invaluable tool for data manipulation and analysis.
Python Examples
pythonexamples.org › pandas-dataframe-mean
Pandas DataFrame.mean: Compute the Mean of DataFrame Values
The DataFrame.mean method in pandas calculates the mean (average) of numerical values in a DataFrame along a specified axis.
Erikrood
erikrood.com › Python_References › pandas_column_average_median_final.html
Get the mean and median from a Pandas column in Python
Looking to land a data science role? Practice interviewing with a few questions per week · Get the mean and median from a Pandas column in Python · import modules · import pandas as pd import numpy as np · create dummy dataframe · raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar ...