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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 2 3000 HeadPhone 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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