You can use the following methods to select columns in a pandas DataFrame that are equal to a specific data type:

Method 1: Select Columns Equal to Specific Data Type

#select all columns that have an int or float data typedf.select_dtypes(include=['int', 'float'])

Method 2: Select Columns Not Equal to Specific Data Type

#select all columns that don't have a bool or object data typedf.select_dtypes(exclude=['bool', 'object'])

The following examples show how to use each method with the following pandas DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'team': ['A', 'B', 'C', 'D', 'E', 'F'],
                   'points': [18, 22, 19, 14, 14, 11],
                   'assists': [5, 7, 7, 9, 12, 9],
                   'minutes': [10.1, 12.0, 9.0, 8.0, 8.4, 7.5],
                   'all_star': [True, False, False, True, True, True]})

#view DataFrame
print(df)

  team  points  assists  minutes  all_star
0    A      18        5     10.1      True
1    B      22        7     12.0     False
2    C      19        7      9.0     False
3    D      14        9      8.0      True
4    E      14       12      8.4      True
5    F      11        9      7.5      True

Example 1: Select Columns Equal to Specific Data Type

We can use the following code to select all columns in the DataFrame that have a data type equal to either int or float:

#select all columns that have an int or float data typedf.select_dtypes(include=['int', 'float'])

	points	assists	minutes
0	18	5	10.1
1	22	7	12.0
2	19	7	9.0
3	14	9	8.0
4	14	12	8.4
5	11	9	7.5

Notice that only the columns with a data type equal to int or float are selected.

Example 2: Select Columns Not Equal to Specific Data Type

We can use the following code to select all columns in the DataFrame that do not have a data type equal to either bool or object:

#select all columns that don't have a bool or object data typedf.select_dtypes(exclude=['bool', 'object'])

points	assists	minutes
0	18	5	10.1
1	22	7	12.0
2	19	7	9.0
3	14	9	8.0
4	14	12	8.4
5	11	9	7.5

Notice that only the columns that don’t have a data type equal to bool or object are selected.

Also note that you can use the following syntax to display the data type of each column in the DataFrame:

#display data type of all columnsdf.dtypes

team         object
points        int64
assists       int64
minutes     float64
all_star       bool
dtype: object

The following tutorials explain how to perform other common operations in pandas: