Data wrangling and visualization
Project description
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
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
Dependencies
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
Tests
To run the tests:
make test
Project details
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