Top-level functions#

load(index=1, header=1, chunksize=5000)#

Loads the selected cell(s) of the active workbook into a pandas DataFrame. If you select a single cell that has adjacent cells, the range is auto-expanded (via current region) and turned into a pandas DataFrame. If you don’t have pandas installed, it returns the values as nested lists.

Note

Only use this in an interactive context like e.g. a Jupyter notebook! Don’t use this in a script as it depends on the active book.

Parameters

index (bool or int, default 1) – Defines the number of columns on the left that will be turned into the DataFrame’s index
header (bool or int, default 1) – Defines the number of rows at the top that will be turned into the DataFrame’s columns
chunksize (int, default 5000) – Chunks the loading of big arrays.

Examples

>>> import xlwings as xw
>>> xw.load()

See also: view

Changed in version 0.23.1.

view(obj, sheet=None, table=True, chunksize=5000)#

Opens a new workbook and displays an object on its first sheet by default. If you provide a sheet object, it will clear the sheet before displaying the object on the existing sheet.

Note

Only use this in an interactive context like e.g., a Jupyter notebook! Don’t use this in a script as it depends on the active book.

Parameters

obj (any type with built-in converter) – the object to display, e.g. numbers, strings, lists, numpy arrays, pandas DataFrames
sheet (Sheet, default None) – Sheet object. If none provided, the first sheet of a new workbook is used.
table (bool, default True) – If your object is a pandas DataFrame, by default it is formatted as an Excel Table
chunksize (int, default 5000) – Chunks the loading of big arrays.

Examples

>>> import xlwings as xw
>>> import pandas as pd
>>> import numpy as np
>>> df = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])
>>> xw.view(df)