# Python - Calculate the count of column values of a Pandas DataFrame

To calculate the count of column values, use the count() method. At first, import the required Pandas library −

import pandas as pd

Create a DataFrame with two columns −

dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)

Finding count of "Units" column values using the count() function −

print"Count of values of Units column from DataFrame1 = ",dataFrame1['Units'].count()


In the same way, we have calculated the count 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 count of values of a specific column
print"Count of values of Units column from DataFrame1 = ",dataFrame1['Units'].count()

# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Product": ['TV', 'PenDrive', 'HeadPhone', 'EarPhone', 'HDD'],
"Price": [8000, 500, 3000, 1500, 3000]
}
)

print"\nDataFrame2 ...\n",dataFrame2

# Finding count of values of all the column
print"\nCount of column values from DataFrame2 = \n",dataFrame2.count()



## 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
Count of values of Units column from DataFrame1 = 6

DataFrame2 ...
Price   Product
0   8000    TV
1    500    PenDrive
3   1500    EarPhone
4   3000    HDD

Count of column values from DataFrame2 =
Price     5
Product   5
dtype: int64

Updated on: 15-Sep-2021

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