Metadata-Version: 2.1
Name: terminal-plot
Version: 1.3.6
Summary: View plotted stats directly inside terminal.
Home-page: https://github.com/soraxas/termplot
Author: Tin Lai (@soraxas)
Author-email: oscar@tinyiu.com
License: MIT
Keywords: tui termplot stats tensorboard csv
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Framework :: Matplotlib
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Desktop Environment
Classifier: Topic :: Terminals
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: matplotlib-backend
License-File: LICENSE

# Terminal-plot for Tensorboard and CSV

[![pypi](https://img.shields.io/pypi/v/terminal-plot)](https://pypi.org/project/terminal-plot/)
[![python-version](https://img.shields.io/pypi/pyversions/terminal-plot)](https://pypi.org/project/terminal-plot/)
[![Master Update](https://img.shields.io/github/last-commit/soraxas/terminal-plot/master.svg)](https://github.com/soraxas/terminal-plot/commits/master)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![License](https://img.shields.io/github/license/soraxas/terminal-plot.svg)](https://github.com/soraxas/terminal-plot/blob/master/LICENSE)

A plotter for multiple different data source (e.g. tensorboard, csv), directly within your terminal. This is useful when you are training your neural network on a remote server, and you just want to quickly peek at the training curve without launching a tensorboard instance and mess with forwarding ports.

## Install

You can install the package published in PyPI with
```sh
$ pip install terminal-plot
# or install with matplotlib backend dependency
$ pip install terminal-plot[matplotlib-backend]

# or install with an isolated environment
# $ pipx install terminal-plot[matplotlib-backend]
```

## Autocomplete

You can use [`argcomplete`](https://kislyuk.github.io/argcomplete) to enable autocomplete for this script. For example, you can use the following for the fish shell:
```sh
register-python-argcomplete --shell fish termplot > ~/.config/fish/completions/termplot.fish
```

## Usage

```sh
$ termplot FOLDER/FILE
```
For example,
```sh
$ termplot ~/my_amazing_nn/runs
```
where `runs` is the folder that tensorboard had created.

Or, using csv as a data source:
```sh
$ termplot ~/my_stats/output.csv --csv
# use the -x flag to select which stat will be used as x-axis
# $ termplot ~/my_stats/output.csv --csv -x time
```

Or, using matplotlib as a plotting backend:
```sh
$ termplot ~/my_stats/output.csv --csv -m
```

# Example

Running the executable on a tensorboard output folder:

![](https://raw.githubusercontent.com/soraxas/termplot/master/docs/images/example-output.png)

Or with the consolidated flag `-c/--consolidate` to combine multiple stats with a common prefix (most stats in the bottom figure had empty values):

![](https://raw.githubusercontent.com/soraxas/termplot/master/docs/images/example-output-consolidated.png)


# Help

```
$ termplot --help
usage: termplot [-h] [--version]
                [--backend {plotext,matplotlib,matplotlib-terminal}]
                [--data-source {tensorboard,csv}] [-m] [--csv]
                [--plotsize WIDTH,HEIGHT] [-c] [--as-scatter]
                [--canvas-color CANVAS_COLOR] [--axes-color AXES_COLOR]
                [--ticks-color TICKS_COLOR] [--grid] [--colorless] [-d]
                [--no-iter-color] [--force-label] [-f] [-n secs]
                [-w keyword [keyword ...]] [-b keyword [keyword ...]]
                [-x XAXIS_TYPE] [--xlog [row,col ...]] [--ylog [row,col ...]]
                [--xsymlog [row,col ...]] [--ysymlog [row,col ...]]
                [--xlim row,col=min,max [row,col=min,max ...]]
                [--ylim row,col=min,max [row,col=min,max ...]] [--as-raw-bytes]
                [-s [0-1]] [--smooth-poly-order poly-order]
                [--terminal-width TERMINAL_WIDTH]
                [--terminal-height TERMINAL_HEIGHT]
                FOLDER

positional arguments:
  FOLDER                Source folder or file

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --backend {plotext,matplotlib,matplotlib-terminal}
                        Set the plotting backend
  --data-source {tensorboard,csv}
                        Set the plotting data source
  -m, --matplotlib      Alias of --backend matplotlib
  --csv                 Alias of --data-source csv
  --plotsize WIDTH,HEIGHT
                        Manually set the size of each subplot, e.g., 50,20.
  -c, --consolidate     Consolidate based on prefix. If -cc is given,
                        everything will consolidated regardless of prefix
  --as-scatter          Plot as scatter (instead of line plot)
  --canvas-color CANVAS_COLOR
                        set the color of the plot canvas (the area where the
                        data is plotted)
  --axes-color AXES_COLOR
                        sets the background color of all the labels
                        surrounding the actual plot, i.e. the axes, axes
                        labels and ticks, title and legend, if present
  --ticks-color TICKS_COLOR
                        sets the (full-ground) color of the axes ticks and of
                        the grid lines.
  --grid                Show grid.
  --colorless           Remove color.
  -d, --dark-theme      A collection of flags. If set, it is equivalent to
                        setting canvas-color and axes-color to black, and
                        setting ticks-color to red. Can be overwritten
                        individually.
  --no-iter-color       Stop iterating through different colors per plot.
  --force-label         Force showing label even for plot with one series.
  -f, --follow          Run in a loop to update display periodic.
  -n secs, --interval secs
                        seconds to wait between updates
  -w keyword [keyword ...], --whitelist keyword [keyword ...]
                        Keyword that the stat must contain for it to be
                        plotted, case sensitive.
  -b keyword [keyword ...], --blacklist keyword [keyword ...]
                        Keyword that the stat must not contain for it to be
                        plotted, case sensitive.
  -x XAXIS_TYPE, --xaxis-type XAXIS_TYPE
                        Set value type to be used for x-axis. Tensorboard only
                        supports 'step' or 'time' as x-axis.
  --xlog [row,col ...]  Set the list of subplots to use log scale in x-axis
  --ylog [row,col ...]  Set the list of subplots to use log scale in y-axis
  --xsymlog [row,col ...]
                        Set the list of subplots to use symlog scale in x-axis
  --ysymlog [row,col ...]
                        Set the list of subplots to use symlog scale in y-axis
  --xlim row,col=min,max [row,col=min,max ...]
                        Set the list of xlim for the specified subplot.
  --ylim row,col=min,max [row,col=min,max ...]
                        Set the list of ylim for the specified subplot.
  --as-raw-bytes        Writes the raw image bytes to stdout.
  -s [0-1], --smooth [0-1]
                        A value from 0 to 1 as a smoothing factor.
  --smooth-poly-order poly-order
                        Polynomial order for the savgol smoothing algorithm.
  --terminal-width TERMINAL_WIDTH
                        Manually set the terminal width.
  --terminal-height TERMINAL_HEIGHT
                        Manually set the terminal height.

```


