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Plotador

step1

Plotador is a simple and easy-to-use plotting app built with Flet.
It uses Seaborn to create and customize your graphs, all through a clean and intuitive interface.

No login, no subscription — everything runs locally!

How to use

tutorial.mp4

Install

Download the zip file corresponding to your operating system here. Then run the executable inside it — no installation required.

Plot types

Currently four types of plots are suported:

  • Distribution;
  • Line;
  • Scatter;
  • Categorical.

Each with its own customizations.

Distribution

Plot distributions on 1D and 2D. A color bar can be added to 2D distributions. You can choose between:

  • Histograms;
  • KDE;
  • eCDF.

2D KDE plots may take a second to load.

distribution

Scatter

Make a scatter plot. You can set markers shape and size.

scatter

Line

A line plot of your data. If multiple Y values are found for the same X value, a confidence interval is show. You can set line width and style.

line

Categorical

Categorical plot. The following types are accepted:

  • Strip;
  • Swarn;
  • Box;
  • Violin;
  • Boxen;
  • Point;
  • Bar;
  • Count.

line

Files Formats

  • Plotador accepts CSVs and Excel files formats.

Features

In addition to specific customizations, all plot types share the following features:

  • Title:
    Sets the title of the figure. When a value is selected in the "Column" option, it sets the title for each subplot column accordingly.

  • Labels:
    Sets the axis labels. For 1D distributions, the Y-axis label cannot be changed.

  • Columns:
    All plots include the options "Column" and "Column wrap".

    • The "Column" option creates subplots based on a categorical column in your data. It generates one subplot per category (up to 15). If there are more than 15 categories, a dialog will prompt you to choose a different column.
    • The "Column wrap" property defines how many subplots appear per row.
  • Auto-reload:
    If you edit the data file, the application will detect the changes and automatically update your plot.

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