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DataFrame.to_dict() converts DataFrame to dictionary. Example >>> df = pd.DataFrame( {'col1': [1, 2], 'col2': [0.5, 0.75]}, index=['a', 'b']) >>> df col1 col2 a 1 0.1 b 2 0.2 >>> df.to_dict() {'col1': {'a': 1, 'b': 2}, 'col2': {'a': 0.5, 'b': 0.75}}
You can use df.to_dict () in order to convert the DataFrame to a dictionary. Here 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) my_dictionary = df.to_dict() print (my_dictionary)
9 lut 2024 · Pandas .to_dict () method is used to convert a DataFrame into a dictionary of series or list-like data type depending on the orient parameter. Example: Python3. import pandas as pd . data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 28], 'City': ['New York', 'London', 'Paris']} . df = pd.DataFrame(data) .
18 lut 2024 · Method 1: Using to_dict () with ‘dict’ orientation. In this method, the to_dict () method of a pandas DataFrame is used with the default ‘dict’ orientation. This converts the DataFrame into a dictionary where each column becomes a key and the corresponding values are lists of column data.
30 wrz 2022 · In this post, you’ll learn how to use Python to convert a Pandas DataFrame into a dictionary. Because Pandas DataFrames are complex data structures, there are many different ways in which this can be done. This post explores all of the different options that Pandas makes available!
9 mar 2023 · Table of contents. The DataFrame.to_dict () function. Example to convert pandas DataFrame to dict. DataFrame to dict with a list of values. DataFrame to dict with pandas series of values. DataFrame to dict without header and index. DataFrame to dict by row index. DataFrame to dict with one column as the key. DataFrame to dict using into parameter.
The most straightforward way to convert a Pandas DataFrame to a dictionary is using the to_dict() method. To convert a DataFrame to a dictionary, we need to pass the orient which specifies the format of the dictionary you will get as output.
