Skip to main content

xlwings_utils

Project description

Introduction

This module provides some useful functions to be used in xlwings (lite).

Installation

Just add xlwings-utils to the requirements.txt tab.

In the script, add

ìmport xlwings_utils as xwu

[!NOTE]

The GitHub repository can be found on https://github.com/salabim/xlwings_utils .

Dropbox support

The xlwings lite system does not provide access to the local file system. With this module, files can be copied between Dropbox and the local pyodide file system, making it possible to indirectly use the local file system.

It is only possible, as of now, to use full-access Dropbox apps.

The easiest way to use the Dropbox functionality is to add the credentials to the environment variables. Add REFRESH_TOKEN, APP_KEY and APP_SECRET with their corresponding values to the environment variables.

Then, it is possible to list all files in a specified folder with the function list_dropbox. It is also possible to get the folders and to access all underlying folders.

The function read_dropbox can be used to read a Dropbox file's contents (bytes).

The function write_dropbox can be used to write contents (bytes) to a Dropbox file.

The functions list_local, read_local and write_local offer similar functionality for the local file system (on pyodide).

So, a way to access a file on the system's drive (mapped to Dropbox) as a local file is:

contents = xlwings_utils.read_dropbox('/downloads/file1.xls')
xlwings_utils.write_local('file1.xlsx')
df = pandas.read_excel"file1.xlsx")
...

And the other direction:

contents = xlwings_utils.read_local('file1.gif')
xlwings_utils.write_dropbox('/downloads/file1.gif')

Block support

The module contains a useful 2-dimensional data structure: block. This can be useful to manipulate a range without accessing the range directly, which is expensive in terms of memory and execution time. The advantage over an ordinary list of lists is that a block is index one-based, in line with range and addressing is done with a row, column tuple. So, my_block(lol)[row, col] is roughly equivalent to lol[row-1][col-1]

A block stores the values internally as a dictionary and will only convert these to a list of lists when using block.value.

Converting the value of a range (usually a list of lists, but can also be a list or scalar) to a block can be done with

my_block = xwu.block.from_value(range.value)

The dimensions (number of rows and number of columns) are automatically set.

Setting of an individual item (one-based, like range) can be done like

my_block[row, column] = x

And, likewise, reading an individual item can be done like

x = my_block[row, column]

It is not allowed t,o read or write outside the block dimensions.

It is also possible to define an empty block, like

block = xlwings_utils.block(number_of_rows, number_columns)

The dimensions can be queried or redefined with block.number_of_rows and block.number_of_columns.

To assign a block to range, use

range.value = block.value

The property block.highest_used_row_number returns the row number of the highest non-None cell.

The property block.highest_used_column_number returns the column_number of the highest non-None cell.

The method block.minimized() returns a block that has the dimensions of (highest_used_row_number, highest_used_column_number).

Particularly if we process an unknown number of lines, we can do something like:

this_block = xwu.block(number_of_rows=10000, number_of_columns=2)
for row in range(1, 10001):
	this_block[row,1]= ...
	this_block[row,2]= ...
	if ...: # end condition
	    break
sheet.range(10,1).value = this_block.minimized().value

In this case, only the really processed rows are copied to the sheet.

Capture stdout support

The module has support for capturing stdout and -later- using showing the captured output on a sheet.

To do that:

with xwu.capture_stdout():
    ...

and then the captured output can be copied to the screen, like

sheet.range(4,5).value = xwu.captured_stdout_as_value()

Clearing the captured stdout buffer can be done with xwu.clear_captured_std_out.

Normally, stdout will also be sent to the xlwings lite UI panel. This can be suppressed with

with xwu.capture_stdout(include_print=False):
    ...

Contact info

You can contact Ruud van der Ham, the core developer, via ruud@salabim.org .

Badges

PyPI PyPI - Python Version PyPI - Implementation PyPI - License ruff GitHub last commit

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xlwings_utils-0.0.7.post1.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xlwings_utils-0.0.7.post1-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file xlwings_utils-0.0.7.post1.tar.gz.

File metadata

  • Download URL: xlwings_utils-0.0.7.post1.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.0

File hashes

Hashes for xlwings_utils-0.0.7.post1.tar.gz
Algorithm Hash digest
SHA256 47acc6b736398223be6029eac01dd1fb5edfd24c90ed51ae71effe52262d34fb
MD5 e0ccc44bc6b97e346e5498faed427700
BLAKE2b-256 2f088bc9f7a7e73558cc4ffda2ab6b6058a3f31d95b457109214e2b176246a34

See more details on using hashes here.

File details

Details for the file xlwings_utils-0.0.7.post1-py3-none-any.whl.

File metadata

File hashes

Hashes for xlwings_utils-0.0.7.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 91b5243712f11cf5452d125e66446f74a0d82c38cdfa1187ef81d1b23a70388f
MD5 15b64d13e07f649cd60fdf571be31c9c
BLAKE2b-256 f3f3b80fb13bb3976f96ac2ee93a7adf705d2c3b7f2197d8a2b597d2f6012487

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page