Pygwalker

Fix

* fix `to_html` bugs. PR 133 by longxiaofei
* remove data restrictions for non-Jupyter env. PR 128 by ysj0226

Feature

* add `modin.pandas` as data source. 131 by rentruewang

**Full Changelog**: https://github.com/Kanaries/pygwalker/compare/0.1.9.1...0.1.10

**Full Changelog**: https://github.com/Kanaries/pygwalker/compare/0.1.9...0.1.9.1

**Full Changelog**: https://github.com/Kanaries/pygwalker/compare/0.1.8...0.1.9

* chore: bump gw to v0.3.5
- feat:tree table
- feat:pivot-table
- fix:multi aggregator for same measure
- feat: add text mark and channel
- feat: support value format
- feat: add format doc

**Full Changelog**: https://github.com/Kanaries/pygwalker/compare/0.1.7...0.1.8

What's Changed
* [Feat] Synchronously load data to the browser by Asm-Def in https://github.com/Kanaries/pygwalker/pull/104


**Full Changelog**: https://github.com/Kanaries/pygwalker/compare/0.1.7...0.1.8.dev1

[THIS IS A DEVELOPMENT PREVIEW]

As for current versions (`pygwalker<=0.1.7`), the generated HTML to display can be extremely large when walking on large data frames, which may exceed the supported size of `.ipynb` files.

This pre-release (as a development preview) enables large `DataFrames` to be "walked" in the browser by loading the data into the front end in batches and removing the cell output of each batch from the notebook when it's loaded.

You can easily begin to try it out by doing
bash
pip install "https://github.com/Kanaries/pygwalker/releases/download/0.1.8.dev0/pygwalker-0.1.8.dev0-py3-none-any.whl"