pandas.DataFrame.from_records¶

classmethod DataFrame.from_records(data, index=None, exclude=None, columns=None, coerce_float=False, nrows=None)[source]¶

Convert structured or record ndarray to DataFrame.

Parameters:

data : ndarray (structured dtype), list of tuples, dict, or DataFrame
index : string, list of fields, array-like: Field of array to use as the index, alternately a specific set of input labels to use
exclude : sequence, default None: Columns or fields to exclude
columns : sequence, default None: Column names to use. If the passed data do not have names associated with them, this argument provides names for the columns. Otherwise this argument indicates the order of the columns in the result (any names not found in the data will become all-NA columns)
coerce_float : boolean, default False: Attempt to convert values of non-string, non-numeric objects (like decimal.Decimal) to floating point, useful for SQL result sets
nrows : int, default None: Number of rows to read if data is an iterator

Returns: