Mean Function in Python pandas (Dataframe, Row and column wise mean)

mean() – Mean Function in python pandas is used to calculate the arithmetic mean of a given set of numbers, mean of a data frame ,column wise mean or mean of column in pandas and row wise mean or mean of rows in pandas , lets see an example of each . We need to use the package name “statistics” in calculation of mean. In this tutorial we will learn,

  • How to find the mean of a given set of numbers
  • How to find mean of a dataframe in pandas python
  • How to find the mean of a column in dataframe in pandas python
  • How to find row mean of a dataframe in pandas python

 

Syntax of Mean Function in python pandas

 DataFrame.mean(axis=None, skipna=None, level=None, numeric_only=None)

Parameters :

axis : {rows (0), columns (1)}

skipna : Exclude NA/null values when computing the result

level : If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series

numeric_only : Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

 

 

Mean Function in Python

Simple mean function is shown below

# calculate arithmetic mean
Import statistics

print(statistics.mean([1,9,5,6,6,7]))
print(statistics.mean([4,-11,-5,16,5,7]))

output:

5.66666666667
2.66666666667

 

Mean of a dataframe in pandas python:

Create dataframe

import pandas as pd
import numpy as np

#Create a DataFrame
d = {
    'Name':['Alisa','Bobby','Cathrine','Madonna','Rocky','Sebastian','Jaqluine',
   'Rahul','David','Andrew','Ajay','Teresa'],
   'Score1':[62,47,55,74,31,77,85,63,42,32,71,57],
   'Score2':[89,87,67,55,47,72,76,79,44,92,99,69]}


df = pd.DataFrame(d)
df

So the resultant dataframe will be

mean function in python pandas

 

Mean of the dataframe in pandas:

# mean of the dataframe
df.mean()

it will calculate the mean of the dataframe across columns so the output will be

Score1  58.0
Score2  73.0
dtype:  float64

 

 

Column Mean of the dataframe in pandas python:

# column mean of the dataframe
df.mean(axis=0)

axis=0 argument calculates the column wise mean of the dataframe so the result will be

Score1 58.0
Score2 73.0
dtype: float64

 

 

Row Mean of the dataframe in pandas python:

# Row mean of the dataframe
df.mean(axis=1)

axis=1 argument calculates the row wise mean of the dataframe so the result will be

Mean Function in Python pandas (Dataframe, Row and column wise mean) 1

 

Calculate the mean of the specific Column in pandas

# mean of the specific column
df.loc[:,"Score1"].mean()

the above code calculates the mean of the “Score1” column so the result will be

58.0

 

previous-small mean function in python                                                                                                           next_small mean function in python