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Python pandas.api.types.is_dict_like() Function

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  • Last Updated : 07 Feb, 2022

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 necessary packages
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 necessary packages
import pandas.api.types
  
# creating a dictionary
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 necessary packages
import pandas.api.types
  
# passing a list to is_dict_like
pandas.api.types.is_dict_like(['Geeks', 'for', 'Geeks'])


Output

False

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