To find numeric columns in Pandas, we can make a list of integers and then include it into select_dtypes() method. Let's take an example and see how to apply this method.
Steps
- Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
- Print the input DataFrame, df.
- Make a list of data type, i.e., numerics, to select a column.
- Return a subset of the DataFrame's columns based on the column dtypes.
- Print the column whose data type is int.
Example
import pandas as pd df = pd.DataFrame( dict( name=['John', 'Jacob', 'Tom', 'Tim', 'Ally'], marks=[89, 23, 100, 56, 90], subjects=["Math", "Physics", "Chemistry", "Biology", "English"] ) ) print "Input DataFrame is:\n", df numerics = ['int16', 'int32', 'int64'] df = df.select_dtypes(include=numerics) print "Numeric column in input DataFrame is:\n", df
Output
Input DataFrame is: name marks subjects 0 John 89 Math 1 Jacob 23 Physics 2 Tom 100 Chemistry 3 Tim 56 Biology 4 Ally 90 English Numeric column in input DataFrame is: marks 0 89 1 23 2 100 3 56 4 90