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Signed-off-by: Tin Lai <[email protected]>
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README.md

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[![pypi](https://img.shields.io/pypi/v/terminal-plot)](https://pypi.org/project/terminal-plot/)
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[![python-version](https://img.shields.io/pypi/pyversions/terminal-plot)](https://pypi.org/project/terminal-plot/)
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[![Master Update](https://img.shields.io/github/last-commit/soraxas/termplot/master.svg)](https://github.com/soraxas/termplot/commits/master)
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[![Master Update](https://img.shields.io/github/last-commit/soraxas/terminal-plot/master.svg)](https://github.com/soraxas/terminal-plot/commits/master)
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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[![License](https://img.shields.io/github/license/soraxas/termplot.svg)](https://github.com/soraxas/termplot/blob/master/LICENSE)
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[![License](https://img.shields.io/github/license/soraxas/terminal-plot.svg)](https://github.com/soraxas/terminal-plot/blob/master/LICENSE)
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A plotter for multiple different tensorboard, 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.
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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.
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## Install
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$ pip install terminal-plot[matplotlib-backend]
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# or install with an isolated environment
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# $ pipx install terminal-plot
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# $ pipx install terminal-plot[matplotlib-backend]
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```
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## Usage

termplot/_version.py

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__version__ = "1.3.3"
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__version__ = "1.3.4"

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