Python Pandas Convert Dataframe To Dictionary

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How to convert dataframe to dictionary in python pandas youtube

How To Convert Dataframe To Dictionary In Python Pandas YouTube

Pandas to dict method is used to convert a dataframe into a dictionary of series or list like data type depending on orient parameter Syntax DataFrame to dict orient dict into Parameters orient String value dict list series split records index Defines which dtype to convert Columns series into By default, the Pandas DataFrame .to_dict () method will return a dictionary where the keys are the columns and the values are the index:record matches. This process is more informative when your indices are meaningful, rather than arbitrary numbers. Let's take a look at what the Pandas to_dict () method returns with default arguments:

Python pandas dataframe

Python Pandas DataFrame

Python Pandas Convert Dataframe To DictionaryHere is the complete code to perform the conversion: import pandas as pd data = {'Product': ['Laptop','Printer','Monitor','Tablet'], 'Price': [1200,100,300,150] } df = pd.DataFrame (data, columns = ['Product', 'Price']) my_dictionary = df.to_dict () print (my_dictionary) print (type (my_dictionary)) 422 I have a DataFrame with four columns I want to convert this DataFrame to a python dictionary I want the elements of first column be keys and the elements of other columns in the same row be values DataFrame ID A B C 0 p 1 3 2 1 q 4 3 2 2 r 4 0 9 Output should be like this p 1 3 2 q 4 3 2 r 4 0 9 python pandas dictionary