pandas.ExcelFile — pandas 3.0.0rc0+53.g7b51d3adfb documentation (original) (raw)
class pandas.ExcelFile(path_or_buffer, engine=None, storage_options=None, engine_kwargs=None)[source]#
Class for parsing tabular Excel sheets into DataFrame objects.
See read_excel for more documentation.
Parameters:
path_or_bufferstr, bytes, pathlib.Path,
A file-like object, xlrd workbook or openpyxl workbook. If a string or path object, expected to be a path to a .xls, .xlsx, .xlsb, .xlsm, .odf, .ods, or .odt file.
enginestr, default None
If io is not a buffer or path, this must be set to identify io. Supported engines: xlrd, openpyxl, odf, pyxlsb, calamineEngine compatibility :
xlrdsupports old-style Excel files (.xls).openpyxlsupports newer Excel file formats.odfsupports OpenDocument file formats (.odf, .ods, .odt).pyxlsbsupports Binary Excel files.calaminesupports Excel (.xls, .xlsx, .xlsm, .xlsb) and OpenDocument (.ods) file formats.
The engine xlrdnow only supports old-style .xls files. When engine=None, the following logic will be used to determine the engine:
- If
path_or_bufferis an OpenDocument format (.odf, .ods, .odt),
then odf will be used. - Otherwise if
path_or_bufferis an xls format,xlrdwill be used. - Otherwise if
path_or_bufferis in xlsb format,
pyxlsb will be used. - Otherwise if openpyxl is installed,
thenopenpyxlwill be used. - Otherwise if
xlrd >= 2.0is installed, aValueErrorwill be raised.
Warning
Please do not report issues when using xlrd to read .xlsx files. This is not supported, switch to using openpyxl instead.
storage_optionsdict, optional
Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib.request.Request as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec.open. Please see fsspec and urllib for more details, and for more examples on storage options refer here.
engine_kwargsdict, optional
Arbitrary keyword arguments passed to excel engine.
See also
Write DataFrame to an Excel file.
Write DataFrame to a comma-separated values (csv) file.
Read a comma-separated values (csv) file into DataFrame.
Read a table of fixed-width formatted lines into DataFrame.
Examples
file = pd.ExcelFile("myfile.xlsx") with pd.ExcelFile("myfile.xls") as xls: ... df1 = pd.read_excel(xls, "Sheet1")
Attributes
Methods