Calculate Minimum of Column Values in a Pandas DataFrame

To get the minimum of column values, use the min() function. 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 minimum value of a single column “Units” using min() −

print"Minimum Units from DataFrame1 = ",dataFrame1['Units'].min()

In the same way, we have calculated the minimum value from the 2^nd 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 minimum value of a single column "Units"
print"Minimum Units from DataFrame1 = ",dataFrame1['Units'].min()

# Create DataFrame2
dataFrame2 = pd.DataFrame(
   {
      "Product": ['TV', 'PenDrive', 'HeadPhone', 'EarPhone', 'HDD', 'SSD'],"Price": [8000, 500, 3000, 1500, 3000, 4000]
   }
)

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

# Finding minimum value of a single column "Price"
print"Minimum Price from DataFrame2 = ",dataFrame2['Price'].min()

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
Minimum Units from DataFrame1 = 80

DataFrame2 ...
   Price    Product
0   8000         TV
1    500   PenDrive
2   3000  HeadPhone
3   1500   EarPhone
4   3000        HDD
5   4000        SSD
Minimum Price from DataFrame2 = 500