https://travis-ci.org/groovytron/markplot.svg?branch=master

Simple script capable of generating plots and csv files from projects’ journal files containing a Markdown table. The journals must have the same format as the example journal-sample.md file.

Install

Markplot is a python package, so it can be installed like this:

pip install markplot

CLI

Markplot includes a simple CLI. It only takes files as arguments. For examples:

$ markplot journal-sample.md
Projects' information has been written in 'generated' directory.

The above example uses the sample file and generates files named generated/journal-sample/hours_journal-sample.csv and generated/journal-sample/time_histogram_journal-sample.png.

Docs

The --help arg will make it show a usage page:

$ markplot --help
Usage: markplot [OPTIONS] [JOURNALS]...

  This script simply generates feedbacks from projects' journals. Output is
  generated in a directory called «generated».

  Generate one feedback from a journal:
      feedbackgenerator journal.md

  Generate two feedbacks from two journals:
      feedbackgenerator journal1.md journal2.md

Options:
  --help  Show this message and exit.

Metadata

Release files for markplot 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for markplot 0.1.3
File	Size	Uploaded	Provenance
markplot-0.1.3.tar.gz	16.1 kB	Sep 11, 2017	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for markplot 0.1.3
File	Interpreter	ABI	Platform	Reset
markplot-0.1.3-py3-none-any.whl 5.0 kB Sep 11, 2017 Without provenance	Python 3	none	any	Details

Total release size: 21.1 kB

Release files / markplot-0.1.3.tar.gz

Download URL	markplot-0.1.3.tar.gz
Size	16.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`4a2ef164a300fd1dec85cfa25bdc789120f49a9a3139d5a967aa9a94514df968`
BLAKE2b-256 checksum How to use checksums	`00c5e00c59a9bc7279b73526b3bafe8ceac4c5bc58c5fc8b6d9fef9276562d5b`
Upload date	Sep 11, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / markplot-0.1.3-py3-none-any.whl

Download URL	markplot-0.1.3-py3-none-any.whl
Size	5.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`db19f5610574365f5dce66b8ec249c221fe839f93f9c4dfb3e941f275ae2727e`
BLAKE2b-256 checksum How to use checksums	`25742387bc344578c591208fe1988bf7545842bb63c10679eadd5b83ae9c8900`
Upload date	Sep 11, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

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