RPyMD 1.0.0

Library for recording in a markdown file.

PyMD

Overview

This packages provides an intuitive way to generate markdown files. While sweeping over parameters for a project, results can be neatly organized and stored within a markdown file.

Features

• Index over subsections
• Assign multiple section types to each section
• Add text, images, figures, lists, tables, checkboxes, and hyperlinks to the markdown.
• Save and load as JSON

Installation

Pip

Use pip to install PyMD:

pip install .

Markdown File Examples

Create MDGenerator Object

When creating the MDGenerator Object, either the save path and filename can be given together in the save_path or separately. If given together, this will neglect the file_name parameter, and the file descriptor must be given with the save_path. File descriptor is not needed if file_name is given separately.

A list of authors can be provided or a single name. It will be formatted accordingly.

from PyMD import MDGenerator

md = MDGenerator(save_path="folder/filename.md", title="Title of MD file", author="John Smith")

# Add sections to the md object

# Save when done to generate md file
md.save()

Create and Index Section Headers

Section headers are automatically created when a section get or set is made. Levels or subsections can be addressed by a file system format. Examples would be:

Indexing using base object

md.add_text("Section 1/Subsection 1/Subsubsection 1","This is placed in the subsubsection of the first section and first subsection.")

Dictionary Single Indexing

md["Section 1/Subsection 1/Subsubsection 1"].add_text("This is placed in the subsubsection of the first section and first subsection.")

Dictionary Multi Indexing

md["Section 1"]["Subsection 1"]["Subsubsection 1"].add_text("This is placed in the subsubsection of the first section and first subsection.")

Variation of Single and Multi Indexing

md["Section 1/Subsection 1"]["Subsubsection 1"].add_text("This is placed in the subsubsection of the first section and first subsection.")

However, indexing through a function call can only be done by the base object. Not a membering object.

Assignment Functions

Each function will have its own parameters, but the provided functions are the following:

md.add_text(text)
md.add_code(text)
md.add_figure(figure)
md.add_image(image_path)
md.add_table(table)
md.add_list(text_list)
md.add_link(link, text)
md.add_checkbox(text_list, checked)

Default Assignments

To speed up common assignments, text, figures, tables, and lists are allowed to be assigned to the dictionary. For examples, each assignment can be made to add to a section:

Text Assignmnet

md["Section 1"]["Subsection 1"]["Subsubsection 1"] = "This is placed in the subsubsection of the first section and first subsection."

Figure Assignment

from matplotlib import pyplot as plt

fig, ax = plt.subplots()
# Add to the figure
md["Figure or Image Section"] = fig

Dataframe Assignment

from pandas import DataFrame

# Create array instance with or without columns
table = DataFrame(array, columns=columns)
md["Table Section"] = table

Numpy Assignment

import numpy

# Create array instance
md["Table Section"] = array

List Assignment

md["List Section"] = ["Item 1", "Item 2", "Item 3"]

Save and Load JSON file

md.save_json()

md.save_json(new_file_name)

md = MDGenerator(save_path=json_file_location)
md.load_json()

md = MDGenerator()
md.load_json(json_file_location)