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gantt notebook
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‎notebooks/gantt.md

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---
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jupyter:
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jupytext:
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notebook_metadata_filter: all
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text_representation:
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extension: .md
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format_name: markdown
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format_version: '1.1'
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jupytext_version: 1.1.1
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kernelspec:
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display_name: Python 2
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display_name: Python 3
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language: python
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name: python2
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name: python3
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language_info:
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codemirror_mode:
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name: ipython
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version: 3
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file_extension: .py
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mimetype: text/x-python
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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.6.7
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plotly:
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description: How to make Gantt Charts in Python with Plotly. Gantt Charts use
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horizontal bars to represent the start and end times of tasks.
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title: Python Gantt Charts | plotly
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---
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<!-- #region {"deletable": true, "editable": true} -->
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#### New to Plotly?
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Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).
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<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).
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<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
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<!-- #endregion -->
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<!-- #region {"deletable": true, "editable": true} -->
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#### Version Check
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Note: Gantt Charts are available in version <b>1.12.2+</b><br>
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Run `pip install plotly --upgrade` to update your Plotly version
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly
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plotly.__version__
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```
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A [Gantt chart](https://en.wikipedia.org/wiki/Gantt_chart) is a type of bar chart that illustrates a project schedule. The chart lists the tasks to be performed on the vertical axis, and time intervals on the horizontal axis. The width of the horizontal bars in the graph shows the duration of each activity.
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See also the [bar charts examples](https://plot.ly/python/bar-charts/).
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<!-- #region {"deletable": true, "editable": true} -->
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#### Simple Gantt Chart
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28'),
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dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15'),
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dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30')]
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fig = ff.create_gantt(df)
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py.iplot(fig, filename='gantt-simple-gantt-chart', world_readable=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Index by Numeric Variable
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28', Complete=10),
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dict(Task="Job B", Start='2008-12-05', Finish='2009-04-15', Complete=60),
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dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30', Complete=95)]
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fig = ff.create_gantt(df, colors='Viridis', index_col='Complete', show_colorbar=True)
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py.iplot(fig, filename='gantt-numeric-variable', world_readable=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Index by String Variable
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-01', Resource='Apple'),
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colors = ['#7a0504', (0.2, 0.7, 0.3), 'rgb(210, 60, 180)']
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', reverse_colors=True, show_colorbar=True)
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py.iplot(fig, filename='gantt-string-variable', world_readable=True)
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', reverse_colors=True,
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show_colorbar=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Use a Dictionary for Colors
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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df = [dict(Task="Job A", Start='2016-01-01', Finish='2016-01-02', Resource='Apple'),
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dict(Task="Job B", Start='2016-01-02', Finish='2016-01-04', Resource='Grape'),
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dict(Task="Job C", Start='2016-01-02', Finish='2016-01-03', Resource='Banana')]
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colors = dict(Apple = 'rgb(220, 0, 0)',
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Grape = 'rgb(170, 14, 200)',
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Banana = (1, 0.9, 0.16))
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colors = dict(Apple='rgb(220, 0, 0)', Grape='rgb(170, 14, 200)', Banana=(1, 0.9, 0.16))
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', show_colorbar=True)
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py.iplot(fig, filename='gantt-dictioanry-colors', world_readable=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Use a Pandas Dataframe
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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import pandas as pd
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df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gantt_example.csv')
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fig = ff.create_gantt(df, colors=['#333F44', '#93e4c1'], index_col='Complete', show_colorbar=True,
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bar_width=0.2, showgrid_x=True, showgrid_y=True)
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py.iplot(fig, filename='gantt-use-a-pandas-dataframe', world_readable=True)
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fig = ff.create_gantt(df, colors=['#333F44', '#93e4c1'], index_col='Complete',
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show_colorbar=True, bar_width=0.2, showgrid_x=True, showgrid_y=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Using Hours and Minutes in Times
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<!-- #endregion -->
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```python deletable=true editable=true
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import plotly.plotly as py
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```python
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import plotly.figure_factory as ff
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df = [
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', title='Daily Schedule',
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show_colorbar=True, bar_width=0.8, showgrid_x=True, showgrid_y=True)
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py.iplot(fig, filename='gantt-hours-minutes', world_readable=True)
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fig.show()
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```
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#### Group Tasks Together
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```python
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import plotly.plotly as py
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import plotly.figure_factory as ff
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df = [dict(Task="Job-1", Start='2017-01-01', Finish='2017-02-02', Resource='Complete'),
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'Incomplete': (1, 0.9, 0.16),
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'Complete': 'rgb(0, 255, 100)'}
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', show_colorbar=True, group_tasks=True)
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py.iplot(fig, filename='gantt-group-tasks-together', world_readable=True)
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fig = ff.create_gantt(df, colors=colors, index_col='Resource', show_colorbar=True,
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group_tasks=True)
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fig.show()
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```
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<!-- #region {"deletable": true, "editable": true} -->
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#### Reference
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For info on Plotly Range Slider and Selector, see: https://plot.ly/python/reference/#layout-xaxis-rangeselector.
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<!-- #endregion -->
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```python deletable=true editable=true
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help(ff.create_gantt)
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```
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```python deletable=true editable=true
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from IPython.display import display, HTML
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display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
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display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
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! pip install git+https://github.com/plotly/publisher.git --upgrade
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import publisher
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publisher.publish(
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'gantt.ipynb', 'python/gantt/', 'Python Gantt Charts | plotly',
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'How to make Gantt Charts in Python with Plotly. Gantt Charts use horizontal bars to represent the start and end times of tasks.',
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title='Python Gantt Charts | plotly',
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name='Gantt Charts',
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thumbnail='thumbnail/gantt.jpg', language='python',
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has_thumbnail='true', display_as='basic', order=5.5,
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ipynb= '~notebook_demo/6')
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```python
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help(ff.create_gantt)
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```
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```python deletable=true editable=true
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```python
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```
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```

‎notebooks/network-graphs.md

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---
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jupyter:
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jupytext:
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notebook_metadata_filter: all
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text_representation:
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extension: .md
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format_name: markdown
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thumbnail: thumbnail/net.jpg
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---
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#### New to Plotly?
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Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).
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<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).
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<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!# Network Graphs with Plotly.
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In this example we show how to visualize a network graph created using `networkx`.
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Install the Python library `networkx` with `sudo pip install networkx`.
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Install the Python library `networkx` with `pip install networkx`.
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#### Get Node Positions
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Store position as node attribute data for random_geometric_graph and find node near center (0.5, 0.5)
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### Create random graph
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```python
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import plotly.plotly as py
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import plotly.graph_objs as go
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import networkx as nx
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G=nx.random_geometric_graph(200,0.125)
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pos=nx.get_node_attributes(G,'pos')
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dmin=1
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ncenter=0
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for n in pos:
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x,y=pos[n]
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d=(x-0.5)**2+(y-0.5)**2
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if d<dmin:
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ncenter=n
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dmin=d
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p=nx.single_source_shortest_path_length(G,ncenter)
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G = nx.random_geometric_graph(200, 0.125)
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```
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#### Create Edges
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Add edges as disconnected lines in a single trace and nodes as a scatter trace
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edge_trace = go.Scatter(
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x=[],
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y=[],
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line=dict(width=0.5,color='#888'),
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x=[], y=[],
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line=dict(width=0.5, color='#888'),
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hoverinfo='none',
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mode='lines')
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xanchor='left',
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titleside='right'
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),
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line=dict(width=2)))
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line_width=2))
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for node in G.nodes():
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x, y = G.node[node]['pos']
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```python
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for node, adjacencies in enumerate(G.adjacency()):
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node_trace['marker']['color']+=tuple([len(adjacencies[1])])
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node_trace['marker']['color'] += tuple([len(adjacencies[1])])
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node_trace['text']+=tuple([node_info])
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node_trace['text'] += tuple([node_info])
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```
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#### Create Network Graph
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fig = go.Figure(data=[edge_trace, node_trace],
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layout=go.Layout(
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title='<br>Network graph made with Python',
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titlefont=dict(size=16),
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titlefont_size=16,
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showlegend=False,
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hovermode='closest',
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margin=dict(b=20,l=5,r=5,t=40),
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xref="paper", yref="paper",
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x=0.005, y=-0.002 ) ],
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xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
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yaxis=dict(showgrid=False, zeroline=False, showticklabels=False)))
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py.iplot(fig, filename='networkx')
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yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
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)
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fig.show()
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### Dash Example
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#### Reference
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See https://plot.ly/python/reference/#scatter for more information and chart attribute options!
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```python
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from IPython.display import display, HTML
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display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
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display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
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! pip install git+https://github.com/plotly/publisher.git --upgrade
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import publisher
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publisher.publish(
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'networkx.ipynb', 'python/network-graphs/', 'Python Network Graphs',
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'How to make Network Graphs in Python with Plotly. '
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'One examples of a network graph with NetworkX',
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name = 'Network Graphs',
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thumbnail='thumbnail/net.jpg', language='python',
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has_thumbnail='true', display_as='scientific', order=14, redirect_from='ipython-notebooks/networks/',
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ipynb= '~notebook_demo/223')
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```
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```python
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```

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