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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}}
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) .
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).
30 wrz 2022 · Convert a Pandas DataFrame to a Dictionary of Series Values. Similar to the process above, we can convert a Pandas DataFrame into a dictionary of column names and Pandas Series values. This can be accomplished by passing the string 'series' into the method as its orient argument.
DataFrame.to_string(buf=None, *, columns=None, col_space=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, justify=None, max_rows=None, max_cols=None, show_dimensions=False, decimal='.', line_width=None, min_rows=None, max_colwidth=None, encoding=None)[source] #.
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.
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)
