YOPO is an interactive dashboard which generates various standard plots.

Related tags

Data VisualizationYOPO-You-Only-Plot-Once
Overview

YOPO (You Only Plot Once)

Python Plotly Flask

You Only Plot Once

YOPO is an interactive dashboard which generates various standard plots.you can create various graphs and charts with a click of a button. This tool uses Dash and Flask in backend.

Table of contents

Installing YOPO

To install from PyPi:

pip install yopo

To install from source:

cd <your_project>
git clone https://github.com/chekoduadarsh/YOPO-You-Only-Plot-Once.git
# or download and unzip https://github.com/AutoViML/AutoViz/archive/master.zip
# if you dont have virtualenv install from here https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/
python3 -m venv env
source env/bin/activate
git clone https://github.com/chekoduadarsh/YOPO-You-Only-Plot-Once.git
# or download and unzip https://github.com/AutoViML/AutoViz/archive/master.zip
cd yopo
python3 -m pip install .

Usage

its very easy to use YOPO, u just need to pass the dataframe and it will generate the dashboard.

A code like this will generate multiple plots like given below.

Contribute

If you find any error or need support please raise a issue. If you think you can add a feature, or help solve a bug please raise a PR This repo welcomes any kind of contributions pray

Feel free to adapt it criticize it and support it the way you like!!

License

Apache License, Version 2.0

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Comments
  • Add predefined palettes as dropdown.

    Add predefined palettes as dropdown.

    Is your feature request related to a problem? An enhancement: to give the possibility to choose a color palette from a dropdown menu.

    There are too many predefined palettes at [https://plotly.com/python/builtin-colorscales/](https://plotly.com/python/builtin-colorscales/, and the menu would become too long), so a dozen should be enough.

    As a palette list I would consider:

    • Viridis
    • Magma
    • Turbo
    • Bluered
    • Hot
    • RdBu
    • YlOrRd
    • Thermal
    • Agsunset
    • Balance
    • Portland
    • Edge

    If the dropdown menu shows the palette colors (each image can be downloaded from the page) together with the name, it becomes very intuitive.

    enhancement 
    opened by Nemecsek 4
  • Give the possibility to add extra parameters.

    Give the possibility to add extra parameters.

    Is your feature request related to a problem? I am using Histograms, but the number of bins is automatic and cannot be changed. Other plot types can be optimized by adding extra parameters (i.e. to change the size of scatterplots' markers).

    Describe the solution you'd like Of course it is not possible to add parameters according to every users' needs.

    The easiest solution is to give the possibility to enter extra params into an edit box such as: Screenshot_20220218_092905

    This string can be transformed into a dictionary with eval(f'dict({ edit_box_content })'), and the dictionary then added to the plots' parameters.

    enhancement 
    opened by Nemecsek 2
  • Dataframe's index is missing among the selectable fields in X axis

    Dataframe's index is missing among the selectable fields in X axis

    As for the title, it is not possible to directly select the (unnamed) index among the X axis fields. Index is the most obvious choice for Y axis in Scatter, Line, etc.

    opened by Nemecsek 0
  • Let multiple series to be visualized in a single plot.

    Let multiple series to be visualized in a single plot.

    In Scatter, Line, Bar (and possibly other plots) it would be nice to visualize multiple series on the same figure. This would mean to select not only a single Y axis value, but to allow multiple selections (at least one).

    To keep things simple, I would draw all of them on the same figure, avoiding at the moment to provide sub figures.

    enhancement 
    opened by Nemecsek 1
Releases(alpha)

  • alpha(Feb 15, 2022)

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ADARSH C
Python | Machine Learning | Deep Learning | Flask | mongodb | Embedded systems
ADARSH C
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