A curses-based DataFrame viewer inspired by TabView.
A curses-based DataFrame viewer inspired by TabView
This is a side project for now. I work on it because I want more green squares on my GitHub profile.
The main difference between TabView and DabBiew is that underlying data structure is a pandas DataFrame instead of a list of lists. This has the advantage of potentially being able to take advantage of Dask, which supports “Big Data” collections for distributed environments.
pip install dabbiew
Open any csv or Excel file:
dabbiew file.csv dabbiew file.xlsx
A move command can be repeated by typing the number of times to repeat before issuing an action. For example, to move down 12 times, simply type 12j (or 12↓). To perform a search, open the search bar with \, enter a substring to match, and hit return (↵).
|v||toggle selection mode|
|h j k l ← ↓ ↑ →||movement keys|
|ctrl+f, ctrl+b||page down, page up|
|s, S||sort ascending, descending|
|gg, GG||jump to top, bottom of DataFrame|
|^, $||jump to left, right of DataFrame|
|,, .||decrease, increase selection width|
|<, >||decrease, increase all widths|
|t, y||toggle header, index|
|[, ]||decrease, increase index width|
|:||toggle command mode|
|/||toggle search bar|
|n, p||next, previous match|
|d||enter ipdb debug mode|
Entering command mode (:) allows the user to call any DataFrame method which returns a Series or DataFrame on the current selection. For instance, the user can call :sum(), :where(df==42), or even :where(df==42).sum() on a selection. The resulting Series or DataFrame is rendered in a nested instance. To go back to the previous DataFrame, simply quit (q) the current instance. If the selection is just a single cell, the call is made to the entire DataFrame inplace. Note the name of the current DataFrame is always called df.
To generate the source code documentation do:
cd doc make html
and open _build/html/index.html