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.

備註

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.

參數:

index (bool | int) -- Defines the number of columns on the left that will be turned into the DataFrame's index
header (bool | int) -- Defines the number of rows at the top that will be turned into the DataFrame's columns
chunksize (int) -- Chunks the loading of big arrays.

範例

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

See also: view

在 0.23.1 版的變更.

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.

備註

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.

參數:

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

範例

>>> 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)