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Python - Calculate the mean of column values of a Pandas DataFrame
To calculate the mean of column values, use the mean() method. At first, import the required Pandas library −
import pandas as pd
Now, create a DataFrame with two columns −
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90] }
)Finding the mean of a single column “Units” using mean() −
print"Mean of Units column from DataFrame1 = ",dataFrame1['Units'].mean()
In the same way, we have calculated the mean value from the 2nd DataFrame.
Example
Following is the complete code −
import pandas as pd
# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90] }
)
print"DataFrame1 ...\n",dataFrame1
# Finding mean of "Units" column
print"Mean of Units column from DataFrame1 = ",dataFrame1['Units'].mean()
# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Product": ['TV', 'PenDrive', 'HeadPhone', 'EarPhone', 'HDD', 'SSD'],
"Price": [8000, 500, 3000, 1500, 3000, 4000]
}
)
print"\nDataFrame2 ...\n",dataFrame2
# Finding mean of "Price" column
print"Mean of Price column from DataFrame2 = ",dataFrame2['Price'].mean()Output
This will produce the following output −
DataFrame1 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Tesla 80 4 Bentley 110 5 Jaguar 90 Mean of Units column from DataFrame1 = 106.666666667 DataFrame2 ... Price Product 0 8000 TV 1 500 PenDrive 2 3000 HeadPhone 3 1500 EarPhone 4 3000 HDD 5 4000 SSD Mean of Price column from DataFrame2 = 3333.33333333
Updated on: 15-Sep-2021
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