Dataspace

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

Doc
- Data io
  - Load
  - Export
    - Export csv
- Infos
  - View data
    - Show
  - Count data
- Select
  - Limit
  - Unique
- Clean
  - Nulls
  - Dates
    - To date
    - To tzdate
    - Fdate
    - Timestamps
  - Convert types
    - To int
    - To float
    - To str
    - To type
  - Clean values
    - Strip
    - Strip cols
    - Roundvals
    - Replace
- Transform
  - Dataframe
    - Split
    - Drop
    - Add
    - Rename
    - Keep
    - Copycol
    - Reverse
  - Values
    - Sort
    - Exclude
    - Append
    - Mappend
    - Diffm
  - Resample timeseries
    - Resample
    - Rsum
    - Rmean
  - Calculations
    - Percent
    - Diffp
    - Diffpp
    - Diffn
    - Diffnp
    - Diffm
    - Diffmp
    - Cvar
    - Lreg
- Charts
  - Options
    - Axis
    - Altair
    - Bokeh
    - W
    - H
    - Wh
  - Draw charts
    - Line
    - Point
    - Bar
    - Area
    - Square
    - Rule
    - Tick
    - Bar num
    - Line num
    - Point num
    - Heatmap
    - Hist
    - Hline
  - Inline api
    - W
    - H
    - Wh
    - Mw
    - Pw
    - Color
    - Opacity
    - Tooltip
    - To
    - Rx
    - Nox
    - Noy
    - Title
    - Colormap
    - Qcolormap
    - Save img
    - Get html
    - Html header
- Reporting
  - Prepare a report
    - Report path
    - Stack
  - Export
    - Save pdf
    - Save html

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
Charts: Altair, and Holoviews with Bokeh (optional)

Example notebooks

Example notebooks are available

├── 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