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plotext plots data directly on terminal

Project description

The package plotext allows to plot data directly on terminal.

Basic Example

You can use plotext to plot directly on terminal, as you would normally with matplotlib. Here is a basic example on how to use it:

import plotext.plot as plx
plx.scatter(x, y)
plx.show()

where x and y are the lists for the of points coordinates; optionally, a single y list could be provided. Alternatively, you could plot data points with lines connecting them using the plot function instead of the scatter one. Multiple data set could also be plotted using consecutive scatter or plot functions. Here is an output example:

example

Each data point is represented by a character (in this case a ).

Installation

To install the latest version of the plotext package use the following command:

sudo -H pip install plotext

Parameters

You can personalize the plots in different ways using the scatter and plot function parameters. Here they are:

  • cols It sets the number of columns of the plot. Only integers are allowed. By default, it is set to the highest value allowed by the the terminal size. Alternatively you could set the number of rows using set_cols(cols) after the scatter function.

  • rows It sets the number of rows of the plot. Only integers are allowed. By default, it is set to the highest value allowed by the the terminal size. Alternatively you could set the number of columns using set_rows(rows) after the scatter or plot function.

  • force_size The plot dimensions are limited by the terminal size, when force_size is False and are allowed to be bigger otherwise. The default value is False. Alternatively you could set force_size using set_force_size(force_size) after the scatter or plot function but before set_cols(cols) and set_rows(rows).

  • xlim It sets the minimum and maximum limits of the plot in the x axis. It requires a list of two numbers, where the first sets the left (minimum) limit and the second the right (maximum) limit. If one or both values are not provided, they are calculated automatically. Alternatively you could use set_xlim(xlim) after the scatter or plot function.

  • ylim It sets the minimum and maximum limits of the plot in the y axis. It requires a list of two numbers, where the first sets the lower (minimum) limit and the second the upper (maximum) limit. If one or both values are not provided, they are calculated automatically. Alternatively you could use set_ylim(ylim) after the scatter or plot function.

  • point When True, the plot shows the scatter data points. The default value is True.

  • point_marker It sets the marker used to identify each data point on the plot. Only single characters are allowed (eg: '*'). The default value is '•'.

  • point_color It sets the color used for the point marker. Use get_colors() to find the available color codes. The default value is 'norm'.

  • line When True, the plot shows the lines between each data points. The default value is False.

  • line_marker It sets the marker used to identify the lines between data points. Only single characters are allowed (eg: '*'). The default value is '•'.

  • line_color It sets the color used for the line marker. Use get_colors() to find the available color codes. The default value is 'norm'.

  • background It sets the plot background color. Use get_colors() to find the available color codes. The default value is 'norm'. Alternatively you could set the background color using set_background(background) after the scatter or plot function.

  • axes When True, the x and y axes are added to the plot. A list of two Boolean will set the x and y axes separately (eg: axes = [True, False]). The default value is True.

  • axes_color It sets the color of the axes, ticks and equations, when present. Use get_colors() to find the available color codes. The default value is 'norm'. Alternatively you could set the axes color using set_axes_color(axes_color) after the scatter function.

  • ticks When True, the x and y ticks are added to the respective axes (even when absent). A list of two Boolean will set the x and y ticks separately (eg: ticks = [True, False]). The default value is True.

  • spacing It sets the spacing between the x and y ticks. When a list of two numbers is given, the spacing of the x and y ticks are set separately (eg: spacing = [5, 8]). Only positive integers are allowed. The default value is [10, 5]. Alternatively you could use set_spacing(spacing) after the scatter or plot function.

  • equations When True, the equations - needed to to find the real x and y values from the plot coordinates - are added at the end of the plot. The default value is False.

  • decimals It sets the number of decimal points shown in the equations. Only positive integers are allowed. The default value is 2. Alternatively you could set the decimal points using set_decimals(decimals) after the scatter or plot function.

Save Plot

You can save your plot, as a text file, using plx.savefig(path) where path is the file address where the data will be written. Note that (for now), this function doesn't preserve the plot colors.

Streaming Data

The following functions are useful for example when continuously plotting a stream of data.

In order to clear the plot canvas use:

plx.clear_plot()

and to clear the terminal use:

plx.clear_terminal()

A common problem when plotting streaming data is the screen flickering. In order to remove or reduce this problem use:

plx.sleep(time)

which adds a sleeping time to the computation. An input of, for example, 0.01 would add approximately 0.01 secs to the computation. The time parameters will depend on your processor speed and it needs some manual tweaking. Here is an example of plotting a continuous stream of data:

stream

Equations

As previously written, you could add two equations at the end of the plot to transform the column and row coordinatesdisplayeddisplayed into real x and y coordinates. Here is an example of a plot with equations at the end:

example_old

The errors in the equations are due to the fact that the pixel size reduces the resolution of the data displayed.

Alternatively you could access the functions plx.get_x_from_col(col) and plx.get_y_from_row(row) to make python do the transformation from your chosen column and row to real, respectively, x and y coordinates.

Colors

You can access the function plx.get_colors() in order to find the available full ground and background color codes. Here is the output for simplicity:

colors

Test

You can run a simple initial test of your newly installed package, to check that plotext works well in your machine. Just use plx.run_test()

Version

In order to check the installed version of the package use the command plx.get_version()

Other Documentation

The full documentation of any of the functions shown above could be accessed using commands like these:

print(plx.scatter.__doc__)
print(plx.plot.__doc__)
print(plx.show.__doc__)

Main Updates:

  • plotext now works also in Windows comand line (CMD) with colors
  • plotext now works also using Python IDLE3 but with no colors and no adaptive dimensions
  • new color codes with background codes added
  • force_size option added
  • savefig function added
  • get_version function added
  • run_test function added
  • no need for numpy or time packages
  • the code has been updated and it is more legible
  • the documentation has been updated
  • equations options now is set by default to False
  • When thick is False, the axes non numerical thicks are also removed
  • Removed get functions for plot parameters

Creator

Contributors

  • Dominik Wetzel, Schmetzler for the Windows support
  • Dominik Wetzel for force_size idea
  • Kexul, Madrian for their inputs regarding plotting multiple lines

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