brplotviz 0.2.2

Plot utilities for outputting plots and tables nicely formatted

brplotviz are plot utilities for outputting plots using matplotlib and nicely formatted tables according to the personal taste of Bertram Richter.

Getting started

This package provides functions to simplify the output of nicely fomatted graphs. The main focus is to enable consistent graphical style suited for printing. Thus, a monochrome (black-white) style is used.

Let's start plotting. First, we need some data:

import numpy as np
import brplotviz
x_list = np.linspace(0, 2, 17)
y_list_sin = np.sin(x_list)
y_list_cos = np.cos(x_list)
x_table = [x_list, x_list]
y_table = [y_list_sin, y_list_cos]
record_names = ["sine", "cosine"]

Plotting a single line-graph and a scatter plot is as simple as:

brplotviz.plot.single_line(x_list, y_list_sin)
brplotviz.plot.single_scatter(x_list, y_list_sin)

Plotting several line plots or mutliple scatter plots is:

brplotviz.plot.multi_line(x_table, y_table, record_names)
brplotviz.plot.multi_scatter(x_table, y_table, record_names)

To mix line and scatter plot we need to construct a list of data record tuples first:

record_list = [(x_list, y_list_sin, "scatter", {"label": "sine"}), (x_list, y_list_cos, "line", {"label": "cosine"})]
brplotviz.plot.mixed_graphs(record_list)

Finally, let's plot a bar chart first with one data record, then with multiple records:

brplotviz.plot.bar_categories([y_list_sin], category_names=x_list)
brplotviz.plot.bar_categories(y_table, category_names=x_list)

Plotting graphs is not the only thing, which can be done with brplotviz. Presenting data in tabular form is also supported. The killer feature here are the possibilities to format the entries either alltogether or each one separately.

brplotviz.table.print_table(
	table=y_table,
	engine="csv",
	head_row=x_list,
	head_col=record_names,
	top_left="Values",
	caption="Sine and cosine Values",
	formatter=":.2f",
	)

We can put out the table formatted as a LaTeX table as well. After copying into a .tex file and compiling it with LaTeX, it is typeset with professional quality. For this to work, follow the additional steps as described in \ref brplotviz.table.print_table_LaTeX().

brplotviz.table.print_table_LaTeX(
	table=y_table,
	head_row=x_list,
	head_col=record_names,
	top_left="Values",
	formatter=":.2f",
	caption="Sine and cosine Values",
	LaTeX_label="sinecosine",
	)

The content can be written to disk, if the keyword argument file=<file path here> is passed, which works for all presented functions. Warning: the file is overwritten without further questions.

All of the presented functions are compiled in \ref example.py ready to run.

Installation and Building documentation

Install this package via pip install -U brplotviz. To build the documentation, run doxygen in this directory to generate it to the directory ./Documentation

Licence and Copyright

Author: Bertram Richter
Copyright: Copyright by the author, 2024.
License: This software is released under GPLv3, see LICENSE for details

Dependencies

• Python >=3.? (Developed under Python 3.9)
• matplotlib >=3.5.0 for plotting and drawing graphs. See matplotlib.org for the documentation.
• numpy for array operations. See numpy.org for the documentation.