#!/usr/bin/env python
# coding: utf-8
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We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
# #### Version Check
# Note: Gantt Charts are available in version 1.12.2+
# Run `pip install plotly --upgrade` to update your Plotly version
# In[1]:
import plotly
plotly.__version__
# #### Simple Gantt Chart
# In[2]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28'),
dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15'),
dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30')]
fig = ff.create_gantt(df)
py.iplot(fig, filename='gantt-simple-gantt-chart', world_readable=True)
# #### Index by Numeric Variable
# In[3]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28', Complete=10),
dict(Task="Job B", Start='2008-12-05', Finish='2009-04-15', Complete=60),
dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30', Complete=95)]
fig = ff.create_gantt(df, colors='Viridis', index_col='Complete', show_colorbar=True)
py.iplot(fig, filename='gantt-numeric-variable', world_readable=True)
# #### Index by String Variable
# In[4]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-01', Resource='Apple'),
dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15', Resource='Grape'),
dict(Task="Job C", Start='2009-04-20', Finish='2009-09-30', Resource='Banana')]
colors = ['#7a0504', (0.2, 0.7, 0.3), 'rgb(210, 60, 180)']
fig = ff.create_gantt(df, colors=colors, index_col='Resource', reverse_colors=True, show_colorbar=True)
py.iplot(fig, filename='gantt-string-variable', world_readable=True)
# #### Use a Dictionary for Colors
# In[5]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [dict(Task="Job A", Start='2016-01-01', Finish='2016-01-02', Resource='Apple'),
dict(Task="Job B", Start='2016-01-02', Finish='2016-01-04', Resource='Grape'),
dict(Task="Job C", Start='2016-01-02', Finish='2016-01-03', Resource='Banana')]
colors = dict(Apple = 'rgb(220, 0, 0)',
Grape = 'rgb(170, 14, 200)',
Banana = (1, 0.9, 0.16))
fig = ff.create_gantt(df, colors=colors, index_col='Resource', show_colorbar=True)
py.iplot(fig, filename='gantt-dictioanry-colors', world_readable=True)
# #### Use a Pandas Dataframe
# In[6]:
import plotly.plotly as py
import plotly.figure_factory as ff
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gantt_example.csv')
fig = ff.create_gantt(df, colors=['#333F44', '#93e4c1'], index_col='Complete', show_colorbar=True,
bar_width=0.2, showgrid_x=True, showgrid_y=True)
py.iplot(fig, filename='gantt-use-a-pandas-dataframe', world_readable=True)
# #### Using Hours and Minutes in Times
# In[7]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [
dict(Task='Morning Sleep', Start='2016-01-01', Finish='2016-01-01 6:00:00', Resource='Sleep'),
dict(Task='Breakfast', Start='2016-01-01 7:00:00', Finish='2016-01-01 7:30:00', Resource='Food'),
dict(Task='Work', Start='2016-01-01 9:00:00', Finish='2016-01-01 11:25:00', Resource='Brain'),
dict(Task='Break', Start='2016-01-01 11:30:00', Finish='2016-01-01 12:00:00', Resource='Rest'),
dict(Task='Lunch', Start='2016-01-01 12:00:00', Finish='2016-01-01 13:00:00', Resource='Food'),
dict(Task='Work', Start='2016-01-01 13:00:00', Finish='2016-01-01 17:00:00', Resource='Brain'),
dict(Task='Exercise', Start='2016-01-01 17:30:00', Finish='2016-01-01 18:30:00', Resource='Cardio'),
dict(Task='Post Workout Rest', Start='2016-01-01 18:30:00', Finish='2016-01-01 19:00:00', Resource='Rest'),
dict(Task='Dinner', Start='2016-01-01 19:00:00', Finish='2016-01-01 20:00:00', Resource='Food'),
dict(Task='Evening Sleep', Start='2016-01-01 21:00:00', Finish='2016-01-01 23:59:00', Resource='Sleep')
]
colors = dict(Cardio = 'rgb(46, 137, 205)',
Food = 'rgb(114, 44, 121)',
Sleep = 'rgb(198, 47, 105)',
Brain = 'rgb(58, 149, 136)',
Rest = 'rgb(107, 127, 135)')
fig = ff.create_gantt(df, colors=colors, index_col='Resource', title='Daily Schedule',
show_colorbar=True, bar_width=0.8, showgrid_x=True, showgrid_y=True)
py.iplot(fig, filename='gantt-hours-minutes', world_readable=True)
# #### Group Tasks Together
# In[8]:
import plotly.plotly as py
import plotly.figure_factory as ff
df = [dict(Task="Job-1", Start='2017-01-01', Finish='2017-02-02', Resource='Complete'),
dict(Task="Job-1", Start='2017-02-15', Finish='2017-03-15', Resource='Incomplete'),
dict(Task="Job-2", Start='2017-01-17', Finish='2017-02-17', Resource='Not Started'),
dict(Task="Job-2", Start='2017-01-17', Finish='2017-02-17', Resource='Complete'),
dict(Task="Job-3", Start='2017-03-10', Finish='2017-03-20', Resource='Not Started'),
dict(Task="Job-3", Start='2017-04-01', Finish='2017-04-20', Resource='Not Started'),
dict(Task="Job-3", Start='2017-05-18', Finish='2017-06-18', Resource='Not Started'),
dict(Task="Job-4", Start='2017-01-14', Finish='2017-03-14', Resource='Complete')]
colors = {'Not Started': 'rgb(220, 0, 0)',
'Incomplete': (1, 0.9, 0.16),
'Complete': 'rgb(0, 255, 100)'}
fig = ff.create_gantt(df, colors=colors, index_col='Resource', show_colorbar=True, group_tasks=True)
py.iplot(fig, filename='gantt-group-tasks-together', world_readable=True)
# #### Reference
# For info on Plotly Range Slider and Selector, see: https://plotly.com/python/reference/#layout-xaxis-rangeselector.
# In[9]:
help(ff.create_gantt)
# In[11]:
from IPython.display import display, HTML
display(HTML(''))
display(HTML(''))
get_ipython().system(' pip install git+https://github.com/plotly/publisher.git --upgrade')
import publisher
publisher.publish(
'gantt.ipynb', 'python/gantt/', 'Python Gantt Charts | plotly',
'How to make Gantt Charts in Python with Plotly. Gantt Charts use horizontal bars to represent the start and end times of tasks.',
title='Python Gantt Charts | plotly',
name='Gantt Charts',
thumbnail='thumbnail/gantt.jpg', language='python',
has_thumbnail='true', display_as='basic', order=5.5,
ipynb= '~notebook_demo/6')
# In[ ]: