# pandas.DataFrame.from_records

classmethod `DataFrame.``from_records`(data, index=None, exclude=None, columns=None, coerce_float=False, nrows=None)

  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

  Returns: | df : DataFrame

Scroll To Top