Python pandas.api.types.is_dict_like() Function
In this article, we will be looking at the insight of the is_dict_like() function from the pandas.api.types package with various examples in a python programming language.
is_dict_like is a method that helps to specify whether the given object for the is_dict_like method is a dictionary or not.
Syntax: pandas.api.types.is_dict_like(dict_object)
Parameters:
- dict_object– It may be a dictionary or object that holds the dictionary.
Returns:
This function will return boolean values i.e., either true or false. If the parameter passed is a dictionary or object that holds a dictionary then it returns true. Else false.
Example 1:
In this example, a dictionary is passed to the is_dict_like method so it returned a boolean true value.
Python
import pandas.api.types
pandas.api.types.is_dict_like({ "Key" : "Value" })
|
Output:
True
Example 2:
Under this example, an object which holds a dictionary is passed as a parameter to the is_dict_like method so it returned a boolean true value.
Python
import pandas.api.types
dictionary_obj = { "Geek" : 4 , "For" : 3 , "geeks" : 5 }
pandas.api.types.is_dict_like(dictionary_obj)
|
Output
True
Example 3:
In this example, a list of strings is passed as a parameter to the is_dict_like method which is not a dictionary. So it returns False.
Python
import pandas.api.types
pandas.api.types.is_dict_like([ 'Geeks' , 'for' , 'Geeks' ])
|
Output
False
Last Updated :
07 Feb, 2022
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...