# Dataspace
[![pub package](https://img.shields.io/pypi/v/dataspace)](https://pypi.org/project/dataspace/) [![Coverage Status](https://coveralls.io/repos/github/synw/dataspace/badge.svg?branch=main)](https://coveralls.io/github/synw/dataspace?branch=main)
A simple api to explore, clean, transform and visualize data
## Features
- **Explore data**: describe, search and visualize raw data
- **Clean and transform data**: select, filter, normalize and reshape data
- **Visualize data**: many kind of charts
<details>
<summary>:books: Read the <a href="https://synw.github.io/dataspace">documentation</a></summary>
- [Doc](https://synw.github.io/dataspace/doc)
- [Data io](https://synw.github.io/dataspace/doc/data_io)
- [Load](https://synw.github.io/dataspace/doc/data_io/load)
- [From df](https://synw.github.io/dataspace/doc/data_io/load/from_df)
- [From csv](https://synw.github.io/dataspace/doc/data_io/load/from_csv)
- [From django](https://synw.github.io/dataspace/doc/data_io/load/from_django)
- [Export](https://synw.github.io/dataspace/doc/data_io/export)
- [Export csv](https://synw.github.io/dataspace/doc/data_io/export/export_csv)
- [Infos](https://synw.github.io/dataspace/doc/infos)
- [View data](https://synw.github.io/dataspace/doc/infos/view_data)
- [Show](https://synw.github.io/dataspace/doc/infos/view_data/show)
- [Count data](https://synw.github.io/dataspace/doc/infos/count_data)
- [Count null ](https://synw.github.io/dataspace/doc/infos/count_data/count_null_)
- [Count zero ](https://synw.github.io/dataspace/doc/infos/count_data/count_zero_)
- [Count unique ](https://synw.github.io/dataspace/doc/infos/count_data/count_unique_)
- [Wunique ](https://synw.github.io/dataspace/doc/infos/count_data/wunique_)
- [Select](https://synw.github.io/dataspace/doc/select)
- [Limit](https://synw.github.io/dataspace/doc/select/limit)
- [Unique ](https://synw.github.io/dataspace/doc/select/unique_)
- [Clean](https://synw.github.io/dataspace/doc/clean)
- [Nulls](https://synw.github.io/dataspace/doc/clean/nulls)
- [Drop na](https://synw.github.io/dataspace/doc/clean/nulls/drop_na)
- [Drop any nulls](https://synw.github.io/dataspace/doc/clean/nulls/drop_any_nulls)
- [Drop all nulls](https://synw.github.io/dataspace/doc/clean/nulls/drop_all_nulls)
- [Fill nulls](https://synw.github.io/dataspace/doc/clean/nulls/fill_nulls)
- [Dates](https://synw.github.io/dataspace/doc/clean/dates)
- [To date](https://synw.github.io/dataspace/doc/clean/dates/to_date)
- [To tzdate](https://synw.github.io/dataspace/doc/clean/dates/to_tzdate)
- [Fdate](https://synw.github.io/dataspace/doc/clean/dates/fdate)
- [Timestamps](https://synw.github.io/dataspace/doc/clean/dates/timestamps)
- [Convert types](https://synw.github.io/dataspace/doc/clean/convert_types)
- [To int](https://synw.github.io/dataspace/doc/clean/convert_types/to_int)
- [To float](https://synw.github.io/dataspace/doc/clean/convert_types/to_float)
- [To str](https://synw.github.io/dataspace/doc/clean/convert_types/to_str)
- [To type](https://synw.github.io/dataspace/doc/clean/convert_types/to_type)
- [Clean values](https://synw.github.io/dataspace/doc/clean/clean_values)
- [Strip](https://synw.github.io/dataspace/doc/clean/clean_values/strip)
- [Strip cols](https://synw.github.io/dataspace/doc/clean/clean_values/strip_cols)
- [Roundvals](https://synw.github.io/dataspace/doc/clean/clean_values/roundvals)
- [Replace](https://synw.github.io/dataspace/doc/clean/clean_values/replace)
- [Transform](https://synw.github.io/dataspace/doc/transform)
- [Dataframe](https://synw.github.io/dataspace/doc/transform/dataframe)
- [Split ](https://synw.github.io/dataspace/doc/transform/dataframe/split_)
- [Drop](https://synw.github.io/dataspace/doc/transform/dataframe/drop)
- [Add](https://synw.github.io/dataspace/doc/transform/dataframe/add)
- [Rename](https://synw.github.io/dataspace/doc/transform/dataframe/rename)
- [Keep](https://synw.github.io/dataspace/doc/transform/dataframe/keep)
- [Copycol](https://synw.github.io/dataspace/doc/transform/dataframe/copycol)
- [Reverse](https://synw.github.io/dataspace/doc/transform/dataframe/reverse)
- [Values](https://synw.github.io/dataspace/doc/transform/values)
- [Sort](https://synw.github.io/dataspace/doc/transform/values/sort)
- [Exclude](https://synw.github.io/dataspace/doc/transform/values/exclude)
- [Append](https://synw.github.io/dataspace/doc/transform/values/append)
- [Mappend](https://synw.github.io/dataspace/doc/transform/values/mappend)
- [Diffm](https://synw.github.io/dataspace/doc/transform/values/diffm)
- [Resample timeseries](https://synw.github.io/dataspace/doc/transform/resample_timeseries)
- [Resample](https://synw.github.io/dataspace/doc/transform/resample_timeseries/resample)
- [Rsum](https://synw.github.io/dataspace/doc/transform/resample_timeseries/rsum)
- [Rmean](https://synw.github.io/dataspace/doc/transform/resample_timeseries/rmean)
- [Calculations](https://synw.github.io/dataspace/doc/transform/calculations)
- [Percent](https://synw.github.io/dataspace/doc/transform/calculations/percent)
- [Diffp](https://synw.github.io/dataspace/doc/transform/calculations/diffp)
- [Diffpp](https://synw.github.io/dataspace/doc/transform/calculations/diffpp)
- [Diffn](https://synw.github.io/dataspace/doc/transform/calculations/diffn)
- [Diffnp](https://synw.github.io/dataspace/doc/transform/calculations/diffnp)
- [Diffm](https://synw.github.io/dataspace/doc/transform/calculations/diffm)
- [Diffmp](https://synw.github.io/dataspace/doc/transform/calculations/diffmp)
- [Cvar ](https://synw.github.io/dataspace/doc/transform/calculations/cvar_)
- [Lreg ](https://synw.github.io/dataspace/doc/transform/calculations/lreg_)
- [Charts](https://synw.github.io/dataspace/doc/charts)
- [Options](https://synw.github.io/dataspace/doc/charts/options)
- [Axis](https://synw.github.io/dataspace/doc/charts/options/axis)
- [Altair](https://synw.github.io/dataspace/doc/charts/options/altair)
- [Bokeh](https://synw.github.io/dataspace/doc/charts/options/bokeh)
- [W](https://synw.github.io/dataspace/doc/charts/options/w)
- [H](https://synw.github.io/dataspace/doc/charts/options/h)
- [Wh](https://synw.github.io/dataspace/doc/charts/options/wh)
- [Draw charts](https://synw.github.io/dataspace/doc/charts/draw_charts)
- [Line ](https://synw.github.io/dataspace/doc/charts/draw_charts/line_)
- [Point ](https://synw.github.io/dataspace/doc/charts/draw_charts/point_)
- [Bar ](https://synw.github.io/dataspace/doc/charts/draw_charts/bar_)
- [Area ](https://synw.github.io/dataspace/doc/charts/draw_charts/area_)
- [Square ](https://synw.github.io/dataspace/doc/charts/draw_charts/square_)
- [Rule ](https://synw.github.io/dataspace/doc/charts/draw_charts/rule_)
- [Tick ](https://synw.github.io/dataspace/doc/charts/draw_charts/tick_)
- [Bar num ](https://synw.github.io/dataspace/doc/charts/draw_charts/bar_num_)
- [Line num ](https://synw.github.io/dataspace/doc/charts/draw_charts/line_num_)
- [Point num ](https://synw.github.io/dataspace/doc/charts/draw_charts/point_num_)
- [Heatmap ](https://synw.github.io/dataspace/doc/charts/draw_charts/heatmap_)
- [Hist ](https://synw.github.io/dataspace/doc/charts/draw_charts/hist_)
- [Hline ](https://synw.github.io/dataspace/doc/charts/draw_charts/hline_)
- [Inline api](https://synw.github.io/dataspace/doc/charts/inline_api)
- [W](https://synw.github.io/dataspace/doc/charts/inline_api/w)
- [H](https://synw.github.io/dataspace/doc/charts/inline_api/h)
- [Wh](https://synw.github.io/dataspace/doc/charts/inline_api/wh)
- [Mw](https://synw.github.io/dataspace/doc/charts/inline_api/mw)
- [Pw](https://synw.github.io/dataspace/doc/charts/inline_api/pw)
- [Color](https://synw.github.io/dataspace/doc/charts/inline_api/color)
- [Opacity](https://synw.github.io/dataspace/doc/charts/inline_api/opacity)
- [Tooltip](https://synw.github.io/dataspace/doc/charts/inline_api/tooltip)
- [To](https://synw.github.io/dataspace/doc/charts/inline_api/to)
- [Rx](https://synw.github.io/dataspace/doc/charts/inline_api/rx)
- [Nox](https://synw.github.io/dataspace/doc/charts/inline_api/nox)
- [Noy](https://synw.github.io/dataspace/doc/charts/inline_api/noy)
- [Title](https://synw.github.io/dataspace/doc/charts/inline_api/title)
- [Colormap](https://synw.github.io/dataspace/doc/charts/inline_api/colormap)
- [Qcolormap](https://synw.github.io/dataspace/doc/charts/inline_api/qcolormap)
- [Save img](https://synw.github.io/dataspace/doc/charts/inline_api/save_img)
- [Get html ](https://synw.github.io/dataspace/doc/charts/inline_api/get_html_)
- [Html header ](https://synw.github.io/dataspace/doc/charts/inline_api/html_header_)
- [Reporting](https://synw.github.io/dataspace/doc/reporting)
- [Prepare a report](https://synw.github.io/dataspace/doc/reporting/prepare_a_report)
- [Report path](https://synw.github.io/dataspace/doc/reporting/prepare_a_report/report_path)
- [Stack](https://synw.github.io/dataspace/doc/reporting/prepare_a_report/stack)
- [Export](https://synw.github.io/dataspace/doc/reporting/export)
- [Save pdf](https://synw.github.io/dataspace/doc/reporting/export/save_pdf)
- [Save html](https://synw.github.io/dataspace/doc/reporting/export/save_html)
</details>
This api is:
- *Minimalistic*: short names, simple functionalites, minimal parameters
- *Pragmatic*: focuses on raw efficiency rather than strictly idiomatic code while favouring static typing
- *Simple stupid*: keep it easy to understand for both code and api
## Install
```
pip install dataspace
```
Optional: to use the Bokeh chart engine:
```
pip install bokeh holoviews
```
Note: the Pandas dependency is required for this chart engine as it does
not yet support Polars dataframes
## Dependencies
- Dataframe: [Polars](https://github.com/pola-rs/polars)
- Charts: [Altair](https://github.com/altair-viz/altair), and [Holoviews](https://github.com/holoviz/holoviews) with [Bokeh](https://github.com/bokeh/bokeh) (optional)
## Example notebooks
[Example notebooks](https://github.com/synw/dataspace_notebooks) are available
[![badge](https://img.shields.io/badge/launch-notebooks-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/synw/dataspace_notebooks/HEAD)
```
├── chart
│ ├── area
│ ├── bar
│ ├── hline
│ ├── line
│ └── point
├── clean
│ ├── convert
│ ├── date
│ ├── drop_nulls
│ ├── fill_nulls
│ ├── strip
│ └── values
├── count
│ ├── count_empty
│ ├── count_null
│ ├── count_unique
│ └── count_zero
├── io
│ ├── export
│ └── load
├── select
│ ├── limit
│ ├── unique
│ └── wunique
└── transform
├── dataframe
│ ├── add
│ ├── copycol
│ ├── drop
│ ├── keep
│ ├── rename
│ └── split
├── diff
│ ├── diffm
│ ├── diffmp
│ ├── diffn
│ ├── diffnp
│ ├── diffp
│ └── diffpp
├── resample
│ ├── rmean
│ └── rsum
└── values
├── append
├── exclude
├── reverse
└── sort
```
## Tests
To run the tests:
```bash
make test
```
Raw data
{
"_id": null,
"home_page": "https://github.com/synw/dataspace",
"name": "dataspace",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "data_visualization,data_exploration,charts",
"author": "synw",
"author_email": "synwe@yahoo.com",
"download_url": "https://files.pythonhosted.org/packages/9d/20/aec05d0fd04d213efe372f6bc54c1ecb0fd58e1ee9fa29eb2292ac2a91a9/dataspace-0.0.12.tar.gz",
"platform": null,
"description": "# Dataspace\n\n[![pub package](https://img.shields.io/pypi/v/dataspace)](https://pypi.org/project/dataspace/) [![Coverage Status](https://coveralls.io/repos/github/synw/dataspace/badge.svg?branch=main)](https://coveralls.io/github/synw/dataspace?branch=main)\n\nA simple api to explore, clean, transform and visualize data\n\n## Features\n\n- **Explore data**: describe, search and visualize raw data\n- **Clean and transform data**: select, filter, normalize and reshape data\n- **Visualize data**: many kind of charts\n\n<details>\n<summary>:books: Read the <a href=\"https://synw.github.io/dataspace\">documentation</a></summary>\n\n - [Doc](https://synw.github.io/dataspace/doc)\n - [Data io](https://synw.github.io/dataspace/doc/data_io)\n - [Load](https://synw.github.io/dataspace/doc/data_io/load)\n - [From df](https://synw.github.io/dataspace/doc/data_io/load/from_df)\n - [From csv](https://synw.github.io/dataspace/doc/data_io/load/from_csv)\n - [From django](https://synw.github.io/dataspace/doc/data_io/load/from_django)\n - [Export](https://synw.github.io/dataspace/doc/data_io/export)\n - [Export csv](https://synw.github.io/dataspace/doc/data_io/export/export_csv)\n - [Infos](https://synw.github.io/dataspace/doc/infos)\n - [View data](https://synw.github.io/dataspace/doc/infos/view_data)\n - [Show](https://synw.github.io/dataspace/doc/infos/view_data/show)\n - [Count data](https://synw.github.io/dataspace/doc/infos/count_data)\n - [Count null ](https://synw.github.io/dataspace/doc/infos/count_data/count_null_)\n - [Count zero ](https://synw.github.io/dataspace/doc/infos/count_data/count_zero_)\n - [Count unique ](https://synw.github.io/dataspace/doc/infos/count_data/count_unique_)\n - [Wunique ](https://synw.github.io/dataspace/doc/infos/count_data/wunique_)\n - [Select](https://synw.github.io/dataspace/doc/select)\n - [Limit](https://synw.github.io/dataspace/doc/select/limit)\n - [Unique ](https://synw.github.io/dataspace/doc/select/unique_)\n - [Clean](https://synw.github.io/dataspace/doc/clean)\n - [Nulls](https://synw.github.io/dataspace/doc/clean/nulls)\n - [Drop na](https://synw.github.io/dataspace/doc/clean/nulls/drop_na)\n - [Drop any nulls](https://synw.github.io/dataspace/doc/clean/nulls/drop_any_nulls)\n - [Drop all nulls](https://synw.github.io/dataspace/doc/clean/nulls/drop_all_nulls)\n - [Fill nulls](https://synw.github.io/dataspace/doc/clean/nulls/fill_nulls)\n - [Dates](https://synw.github.io/dataspace/doc/clean/dates)\n - [To date](https://synw.github.io/dataspace/doc/clean/dates/to_date)\n - [To tzdate](https://synw.github.io/dataspace/doc/clean/dates/to_tzdate)\n - [Fdate](https://synw.github.io/dataspace/doc/clean/dates/fdate)\n - [Timestamps](https://synw.github.io/dataspace/doc/clean/dates/timestamps)\n - [Convert types](https://synw.github.io/dataspace/doc/clean/convert_types)\n - [To int](https://synw.github.io/dataspace/doc/clean/convert_types/to_int)\n - [To float](https://synw.github.io/dataspace/doc/clean/convert_types/to_float)\n - [To str](https://synw.github.io/dataspace/doc/clean/convert_types/to_str)\n - [To type](https://synw.github.io/dataspace/doc/clean/convert_types/to_type)\n - [Clean values](https://synw.github.io/dataspace/doc/clean/clean_values)\n - [Strip](https://synw.github.io/dataspace/doc/clean/clean_values/strip)\n - [Strip cols](https://synw.github.io/dataspace/doc/clean/clean_values/strip_cols)\n - [Roundvals](https://synw.github.io/dataspace/doc/clean/clean_values/roundvals)\n - [Replace](https://synw.github.io/dataspace/doc/clean/clean_values/replace)\n - [Transform](https://synw.github.io/dataspace/doc/transform)\n - [Dataframe](https://synw.github.io/dataspace/doc/transform/dataframe)\n - [Split ](https://synw.github.io/dataspace/doc/transform/dataframe/split_)\n - [Drop](https://synw.github.io/dataspace/doc/transform/dataframe/drop)\n - [Add](https://synw.github.io/dataspace/doc/transform/dataframe/add)\n - [Rename](https://synw.github.io/dataspace/doc/transform/dataframe/rename)\n - [Keep](https://synw.github.io/dataspace/doc/transform/dataframe/keep)\n - [Copycol](https://synw.github.io/dataspace/doc/transform/dataframe/copycol)\n - [Reverse](https://synw.github.io/dataspace/doc/transform/dataframe/reverse)\n - [Values](https://synw.github.io/dataspace/doc/transform/values)\n - [Sort](https://synw.github.io/dataspace/doc/transform/values/sort)\n - [Exclude](https://synw.github.io/dataspace/doc/transform/values/exclude)\n - [Append](https://synw.github.io/dataspace/doc/transform/values/append)\n - [Mappend](https://synw.github.io/dataspace/doc/transform/values/mappend)\n - [Diffm](https://synw.github.io/dataspace/doc/transform/values/diffm)\n - [Resample timeseries](https://synw.github.io/dataspace/doc/transform/resample_timeseries)\n - [Resample](https://synw.github.io/dataspace/doc/transform/resample_timeseries/resample)\n - [Rsum](https://synw.github.io/dataspace/doc/transform/resample_timeseries/rsum)\n - [Rmean](https://synw.github.io/dataspace/doc/transform/resample_timeseries/rmean)\n - [Calculations](https://synw.github.io/dataspace/doc/transform/calculations)\n - [Percent](https://synw.github.io/dataspace/doc/transform/calculations/percent)\n - [Diffp](https://synw.github.io/dataspace/doc/transform/calculations/diffp)\n - [Diffpp](https://synw.github.io/dataspace/doc/transform/calculations/diffpp)\n - [Diffn](https://synw.github.io/dataspace/doc/transform/calculations/diffn)\n - [Diffnp](https://synw.github.io/dataspace/doc/transform/calculations/diffnp)\n - [Diffm](https://synw.github.io/dataspace/doc/transform/calculations/diffm)\n - [Diffmp](https://synw.github.io/dataspace/doc/transform/calculations/diffmp)\n - [Cvar ](https://synw.github.io/dataspace/doc/transform/calculations/cvar_)\n - [Lreg ](https://synw.github.io/dataspace/doc/transform/calculations/lreg_)\n - [Charts](https://synw.github.io/dataspace/doc/charts)\n - [Options](https://synw.github.io/dataspace/doc/charts/options)\n - [Axis](https://synw.github.io/dataspace/doc/charts/options/axis)\n - [Altair](https://synw.github.io/dataspace/doc/charts/options/altair)\n - [Bokeh](https://synw.github.io/dataspace/doc/charts/options/bokeh)\n - [W](https://synw.github.io/dataspace/doc/charts/options/w)\n - [H](https://synw.github.io/dataspace/doc/charts/options/h)\n - [Wh](https://synw.github.io/dataspace/doc/charts/options/wh)\n - [Draw charts](https://synw.github.io/dataspace/doc/charts/draw_charts)\n - [Line ](https://synw.github.io/dataspace/doc/charts/draw_charts/line_)\n - [Point ](https://synw.github.io/dataspace/doc/charts/draw_charts/point_)\n - [Bar ](https://synw.github.io/dataspace/doc/charts/draw_charts/bar_)\n - [Area ](https://synw.github.io/dataspace/doc/charts/draw_charts/area_)\n - [Square ](https://synw.github.io/dataspace/doc/charts/draw_charts/square_)\n - [Rule ](https://synw.github.io/dataspace/doc/charts/draw_charts/rule_)\n - [Tick ](https://synw.github.io/dataspace/doc/charts/draw_charts/tick_)\n - [Bar num ](https://synw.github.io/dataspace/doc/charts/draw_charts/bar_num_)\n - [Line num ](https://synw.github.io/dataspace/doc/charts/draw_charts/line_num_)\n - [Point num ](https://synw.github.io/dataspace/doc/charts/draw_charts/point_num_)\n - [Heatmap ](https://synw.github.io/dataspace/doc/charts/draw_charts/heatmap_)\n - [Hist ](https://synw.github.io/dataspace/doc/charts/draw_charts/hist_)\n - [Hline ](https://synw.github.io/dataspace/doc/charts/draw_charts/hline_)\n - [Inline api](https://synw.github.io/dataspace/doc/charts/inline_api)\n - [W](https://synw.github.io/dataspace/doc/charts/inline_api/w)\n - [H](https://synw.github.io/dataspace/doc/charts/inline_api/h)\n - [Wh](https://synw.github.io/dataspace/doc/charts/inline_api/wh)\n - [Mw](https://synw.github.io/dataspace/doc/charts/inline_api/mw)\n - [Pw](https://synw.github.io/dataspace/doc/charts/inline_api/pw)\n - [Color](https://synw.github.io/dataspace/doc/charts/inline_api/color)\n - [Opacity](https://synw.github.io/dataspace/doc/charts/inline_api/opacity)\n - [Tooltip](https://synw.github.io/dataspace/doc/charts/inline_api/tooltip)\n - [To](https://synw.github.io/dataspace/doc/charts/inline_api/to)\n - [Rx](https://synw.github.io/dataspace/doc/charts/inline_api/rx)\n - [Nox](https://synw.github.io/dataspace/doc/charts/inline_api/nox)\n - [Noy](https://synw.github.io/dataspace/doc/charts/inline_api/noy)\n - [Title](https://synw.github.io/dataspace/doc/charts/inline_api/title)\n - [Colormap](https://synw.github.io/dataspace/doc/charts/inline_api/colormap)\n - [Qcolormap](https://synw.github.io/dataspace/doc/charts/inline_api/qcolormap)\n - [Save img](https://synw.github.io/dataspace/doc/charts/inline_api/save_img)\n - [Get html ](https://synw.github.io/dataspace/doc/charts/inline_api/get_html_)\n - [Html header ](https://synw.github.io/dataspace/doc/charts/inline_api/html_header_)\n - [Reporting](https://synw.github.io/dataspace/doc/reporting)\n - [Prepare a report](https://synw.github.io/dataspace/doc/reporting/prepare_a_report)\n - [Report path](https://synw.github.io/dataspace/doc/reporting/prepare_a_report/report_path)\n - [Stack](https://synw.github.io/dataspace/doc/reporting/prepare_a_report/stack)\n - [Export](https://synw.github.io/dataspace/doc/reporting/export)\n - [Save pdf](https://synw.github.io/dataspace/doc/reporting/export/save_pdf)\n - [Save html](https://synw.github.io/dataspace/doc/reporting/export/save_html)\n\n</details>\n\nThis api is:\n\n- *Minimalistic*: short names, simple functionalites, minimal parameters\n- *Pragmatic*: focuses on raw efficiency rather than strictly idiomatic code while favouring static typing\n- *Simple stupid*: keep it easy to understand for both code and api\n\n## Install\n\n```\npip install dataspace\n```\n\nOptional: to use the Bokeh chart engine:\n\n```\npip install bokeh holoviews\n```\n\nNote: the Pandas dependency is required for this chart engine as it does \nnot yet support Polars dataframes\n\n## Dependencies\n\n- Dataframe: [Polars](https://github.com/pola-rs/polars)\n- Charts: [Altair](https://github.com/altair-viz/altair), and [Holoviews](https://github.com/holoviz/holoviews) with [Bokeh](https://github.com/bokeh/bokeh) (optional)\n\n## Example notebooks\n\n[Example notebooks](https://github.com/synw/dataspace_notebooks) are available\n\n[![badge](https://img.shields.io/badge/launch-notebooks-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/synw/dataspace_notebooks/HEAD)\n\n```\n\u251c\u2500\u2500 chart\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 area\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 bar\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 hline\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 line\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 point\n\u251c\u2500\u2500 clean\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 convert\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 date\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 drop_nulls\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 fill_nulls\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 strip\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 values\n\u251c\u2500\u2500 count\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 count_empty\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 count_null\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 count_unique\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 count_zero\n\u251c\u2500\u2500 io\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 export\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 load\n\u251c\u2500\u2500 select\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 limit\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 unique\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 wunique\n\u2514\u2500\u2500 transform\n \u251c\u2500\u2500 dataframe\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 add\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 copycol\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 drop\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 keep\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 rename\n \u2502\u00a0\u00a0 \u2514\u2500\u2500 split\n \u251c\u2500\u2500 diff\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 diffm\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 diffmp\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 diffn\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 diffnp\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 diffp\n \u2502\u00a0\u00a0 \u2514\u2500\u2500 diffpp\n \u251c\u2500\u2500 resample\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 rmean\n \u2502\u00a0\u00a0 \u2514\u2500\u2500 rsum\n \u2514\u2500\u2500 values\n \u251c\u2500\u2500 append\n \u251c\u2500\u2500 exclude\n \u251c\u2500\u2500 reverse\n \u2514\u2500\u2500 sort\n```\n\n## Tests\n\nTo run the tests:\n\n```bash\nmake test\n```\n\n\n",
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