Del via

excel (DataFrameReader)

Loads Excel files and returns the result as a DataFrame.

Syntax

excel(path, dataAddress=None, headerRows=None, listSheets=None,
      dateFormat=None, timestampFormat=None)

Parameters

Parameter Type Description
path str or list One or more input paths.
dataAddress str, optional The address of the data within the Excel file.
headerRows int or str, optional The number of header rows.
listSheets bool or str, optional If True, returns the list of sheet names instead of reading data.
dateFormat str, optional The date format string.
timestampFormat str, optional The timestamp format string.

Returns

DataFrame

Examples

Write a DataFrame into an Excel file and read it back.

import tempfile
with tempfile.TemporaryDirectory(prefix="excel") as d:
    spark.createDataFrame(
        [{"age": 100.1, "name": "Alice"}]
    ).write.mode("overwrite").option("headerRows", 1).excel(d)

    spark.read.excel(d, headerRows=1).show()
    # +-----+------------+
    # |  age|        name|
    # +-----+------------+
    # |100.1|Alice|
    # +-----+------------+
  • Last updated on