How To Get The Data Types Of Columns Of A DataFrame?
Table Of Contents:
- Syntax To Get The Data Types.
- Examples Of Getting Data Types.
(1) Syntax
pandas.DataFrame.dtypespandas.DataFrame.dtypes.valuesDescription:
- Return the dtypes of each columns of a DataFrame.
(2) Examples
Example-1
import pandas as pd
student = {'Name':['Subrat','Abhispa','Arpita','Anuradha','Namita'],
'Roll_No':[100,101,102,103,104],
'Subject':['Math','English','Science','History','Commerce'],
'Mark':[95,88,76,73,93]}
student_object = pd.DataFrame(student)
student_objectOutput:
student_object.dtypesOutput:
Name object
Roll_No int64
Subject object
Mark int64
dtype: objectstudent_object.dtypes.valuesOutput:
array([dtype('O'), dtype('int64'), dtype('O'), dtype('int64')],
dtype=object)Example-2
import pandas as pd
path = "E:\Blogs\Pandas\Documents\Mall_Customers.csv"
customer_details = pd.read_csv(path)
customer_detailsOutput:
customer_details.dtypesOutput:
CustomerID int64
Genre object
Age int64
Annual_Income_(k$) int64
Spending_Score int64
date object
dtype: objectstudent_object.dtypes.valuesOutput:
array([dtype('int64'), dtype('O'), dtype('int64'), dtype('int64'),
dtype('int64'), dtype('O')], dtype=object)