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# How to obtain the mean value over a specified axis in a DataFrame Onyejiaku Theophilus Chidalu

### Overview

The mean() function in pandas is used to obtain the mean of the values over a specified axis in a given DataFrame.

Mathematically, the mean can be defined as the sum of all values in a dataset divided by the number of values.

### Syntax

The mean() function has the following syntax:

DataFrame.mean(axis=NoDefault.no_default, skipna=True, numeric_only=None, **kwargs)
Syntax for the mean() function in pandas

### Parameters

The mean() function takes the following optional parameter values:

• axis: This represents the name of the row ( designated as 0 or 'index') or the column (designated as 1 or columns) axis from which to take the mean.
• skipna: This takes a boolean value. It determines whether null values are to be excluded or not in the calculation of the mean.
• numeric_only: This takes a boolean value. It determines whether only float, int, or boolean columns are included in the calculation.
• **kwargs: This is an additional keyword argument that can be passed to the function.

### Example

# A code to illustrate the mean() function in Pandas

# importing the pandas library
import pandas as pd

# creating a dataframe
df = pd.DataFrame([[1,2,3,4,5],
[1,7,5,9,0.5],
[3,11,13,14,12]],
columns=list('ABCDE'))
# printing the dataframe
print(df)

# obtaining the mean value vertically across rows
print("Mean across rows: ", df.mean())

# obtaining the mean value horizontally over columns
print("Mean across columns: ", df.mean(axis="columns"))
Implementing the mean() function

### Explanation

• Line 4: We import the pandas library.
• Lines 7–10: We create the df DataFrame.
• Line 12: We print the df DataFrame.
• Line 15: Using the mean() function, we obtain the mean of the values running downwards across the rows (axis 0). We print the result to the console.
• Line 18: Using the mean() function, we obtain the mean of the values running horizontally across columns (axis 1). We print the result to the console.

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CONTRIBUTOR Onyejiaku Theophilus Chidalu
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