Pandas DataFrame: to_records() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - to_records() function

The to_records() function is used to convert DataFrame to a NumPy record array.

Index will be included as the first field of the record array if requested.

Syntax:

DataFrame.to_records(self, index=True, convert_datetime64=None, column_dtypes=None, index_dtypes=None)

Parameters:

Name	Description	Type/Default Value	Required / Optional
index	Include index in resulting record array, stored in ‘index’ field or using the index label, if set.	bool Default Value: True	Required
column_dtypes	If a string or type, the data type to store all columns. If a dictionary, a mapping of column names and indices (zero-indexed) to specific data types.	str, type, dict Default Value: None	Required
index_dtypes	If a string or type, the data type to store all index levels. If a dictionary, a mapping of index level names and indices (zero-indexed) to specific data types. This mapping is applied only if index=True.	str, type, dict Default Value: None	Required

Example:

Download the Pandas DataFrame Notebooks from here.

Previous: DataFrame - to_stata() function
Next: DataFrame - to_string() function