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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}}
Steps to Convert Pandas DataFrame to a Dictionary. Step 1: Create a DataFrame. For example, create a DataFrame with two columns: import pandas as pd. data = { "Product": ["Laptop", "Printer", "Monitor", "Tablet"], "Price": [1200, 100, 300, 150], } df = pd.DataFrame(data) print (df) print (type(df)) You’ll then get the following DataFrame:
DataFrame. to_dict (orient='dict', *, into=<class 'dict'>, index=True) [source] # Convert the DataFrame to a dictionary. The type of the key-value pairs can be customized with the parameters (see below).
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) .
30 wrz 2022 · Convert a Pandas DataFrame to a Dictionary. 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.
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.
