taskplot 0.1.2

Susam's taskplot program to plot effort versus time for multiple tasks.

TaskPlot is a Python module and command line tool based on in it that may be used to plot progress in multiple tasks in a single graph.

Contents

• Requirements

• Installation

• Getting started

• Support

• Resources

• License

Requirements

This package should be used with Python 3.4 or any later version of Python interpreter.

On a Windows system, the following packages must be installed for Python 3.4 from <http://www.lfd.uci.edu/~gohlke/pythonlibs/>: numpy, dateutil, pyparsing, six and matplotlib.

On a Linux system, the python3-matplotlib package and the packages it depends on must be installed. On a Debian system, the following command may be used to install the required packages and execute the script:

aptitude install python3-matplotlib

This package uses the Matplotlib library to plot graphs.

Installation

You can install this package using pip3 using the following command:

pip3 install taskplot

You can install this package from source distribution. To do so, download the latest .tar.gz file from <https://pypi.python.org/pypi/taskplot>, extract it, then open command prompt or shell, and change your current directory to the directory where you extracted the source distribution, and then execute the following command:

python3 setup.py install

Note that on a Windows system, you may have to replace python3 with the path to your Python 3 interpreter.

Getting started

There are three ways to feed data to TaskPlot and let it plot graphs.

1. Using a task directory containing task files: Let us assume your current directory contains the following files and contents:

   -- 2014-02-01.txt --
   READING: [xx] [xx]
   MUSIC: [xx] [xx]
   READING: [x]
   
   -- 2014-02-03.txt --
   READING: [x]
   CODING: [xx]
   
   -- 2014-02-04.txt --
   READING: [xx] [x]
   MUSIC: [xx]
   
   -- 2014-02-08.txt --
   MUSIC: [xx]
   CODING: [xx] [xx]
   
   -- 2014-02-10.txt --
   READING: [xx]
   MUSIC: [xx]
   READING: [xx]

   Execute the following command in the current directory:

   taskplot

   The above command will plot a graph from those files and save it in a file called taskplot.png

   

2. Using a task list file: Let us assume your current directory contains a file called tasklist.txt with the following content:

   DATE        READING  MUSIC     CODING
   2014-02-01  1.0      0.5       0.0
   2014-02-03  0.5      0.0       1.0
   2014-02-04  0.5      0.5       0.5
   2014-02-05  0.5      0.0       0.5
   2014-02-08  0.5      0.5       1.5
   
   DATE        CHESS    MUSIC     CODING
   2014-02-09  1.0      0.5       0.5
   2014-02-10  1.5      1.0       0.5
   2014-02-11  0.5      1.0       1.0
   2014-02-12  2.0      0.5       0.0
   2014-02-15  0.0      0.0       0.5

   Execute the following command in the current directory:

   taskplot tasklist.txt

   The above command will plot a graph from the data in the file and save it in a file called taskplot.png

   

3. Using your own program: Here is an example program:

   import taskplot
   import datetime
   
   taskplot = taskplot.TaskPlot()
   taskplot.add_effort('READING', datetime.datetime(2014, 2, 1), 0.5)
   taskplot.add_effort('READING', datetime.datetime(2014, 2, 5), 1.0)
   taskplot.add_effort('READING', datetime.datetime(2014, 2, 8), 0.5)
   taskplot.add_effort('READING', datetime.datetime(2014, 2, 12), 0.5)
   taskplot.add_effort('CODING', datetime.datetime(2014, 2, 1), 1.0)
   taskplot.add_effort('CODING', datetime.datetime(2014, 2, 3), 1.0)
   taskplot.add_effort('CODING', datetime.datetime(2014, 2, 7), 1.0)
   taskplot.add_effort('MUSIC', datetime.datetime(2014, 2, 9), 1.0)
   taskplot.add_effort('MUSIC', datetime.datetime(2014, 2, 15), 1.0)
   taskplot.print_summary()
   taskplot.plot_graph()
   taskplot.save_graph('taskplot.png')

   Executing this program using Python 3 interpreter will plot a graph and generate the following graph.

   

Support

To report any bugs, or ask any question, please visit <https://github.com/susam/taskplot/issues>.

Resources

Here is a list of useful links about this project.

• Latest release on PyPI

• Source code on GitHub

• Issue tracker on GitHub

• Changelog on GitHub

License

This is free software. You are permitted to redistribute and use it in source and binary forms, with or without modification, under the terms of the Simplified BSD License. See the LICENSE.rst file for the complete license.

This software is provided WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the LICENSE.rst file for the complete disclaimer.