Help on function create_gantt in module plotly.figure_factory._gantt:

create_gantt(df, colors=None, index_col=None, show_colorbar=False, reverse_colors=False, title='Gantt Chart', bar_width=0.2, showgrid_x=False, showgrid_y=False, height=600, width=900, tasks=None, task_names=None, data=None, group_tasks=False)
    Returns figure for a gantt chart
    
    :param (array|list) df: input data for gantt chart. Must be either a
        a dataframe or a list. If dataframe, the columns must include
        'Task', 'Start' and 'Finish'. Other columns can be included and
        used for indexing. If a list, its elements must be dictionaries
        with the same required column headers: 'Task', 'Start' and
        'Finish'.
    :param (str|list|dict|tuple) colors: either a plotly scale name, an
        rgb or hex color, a color tuple or a list of colors. An rgb color
        is of the form 'rgb(x, y, z)' where x, y, z belong to the interval
        [0, 255] and a color tuple is a tuple of the form (a, b, c) where
        a, b and c belong to [0, 1]. If colors is a list, it must
        contain the valid color types aforementioned as its members.
        If a dictionary, all values of the indexing column must be keys in
        colors.
    :param (str|float) index_col: the column header (if df is a data
        frame) that will function as the indexing column. If df is a list,
        index_col must be one of the keys in all the items of df.
    :param (bool) show_colorbar: determines if colorbar will be visible.
        Only applies if values in the index column are numeric.
    :param (bool) reverse_colors: reverses the order of selected colors
    :param (str) title: the title of the chart
    :param (float) bar_width: the width of the horizontal bars in the plot
    :param (bool) showgrid_x: show/hide the x-axis grid
    :param (bool) showgrid_y: show/hide the y-axis grid
    :param (float) height: the height of the chart
    :param (float) width: the width of the chart
    
    Example 1: Simple Gantt Chart
    ```
    import plotly.plotly as py
    from plotly.figure_factory import create_gantt
    
    # Make data for chart
    df = [dict(Task="Job A", Start='2009-01-01', Finish='2009-02-30'),
          dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15'),
          dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30')]
    
    # Create a figure
    fig = create_gantt(df)
    
    # Plot the data
    py.iplot(fig, filename='Simple Gantt Chart', world_readable=True)
    ```
    
    Example 2: Index by Column with Numerical Entries
    ```
    import plotly.plotly as py
    from plotly.figure_factory import create_gantt
    
    # Make data for chart
    df = [dict(Task="Job A", Start='2009-01-01',
               Finish='2009-02-30', Complete=10),
          dict(Task="Job B", Start='2009-03-05',
               Finish='2009-04-15', Complete=60),
          dict(Task="Job C", Start='2009-02-20',
               Finish='2009-05-30', Complete=95)]
    
    # Create a figure with Plotly colorscale
    fig = create_gantt(df, colors='Blues', index_col='Complete',
                       show_colorbar=True, bar_width=0.5,
                       showgrid_x=True, showgrid_y=True)
    
    # Plot the data
    py.iplot(fig, filename='Numerical Entries', world_readable=True)
    ```
    
    Example 3: Index by Column with String Entries
    ```
    import plotly.plotly as py
    from plotly.figure_factory import create_gantt
    
    # Make data for chart
    df = [dict(Task="Job A", Start='2009-01-01',
               Finish='2009-02-30', Resource='Apple'),
          dict(Task="Job B", Start='2009-03-05',
               Finish='2009-04-15', Resource='Grape'),
          dict(Task="Job C", Start='2009-02-20',
               Finish='2009-05-30', Resource='Banana')]
    
    # Create a figure with Plotly colorscale
    fig = create_gantt(df, colors=['rgb(200, 50, 25)', (1, 0, 1), '#6c4774'],
                       index_col='Resource', reverse_colors=True,
                       show_colorbar=True)
    
    # Plot the data
    py.iplot(fig, filename='String Entries', world_readable=True)
    ```
    
    Example 4: Use a dictionary for colors
    ```
    import plotly.plotly as py
    from plotly.figure_factory import create_gantt
    
    # Make data for chart
    df = [dict(Task="Job A", Start='2009-01-01',
               Finish='2009-02-30', Resource='Apple'),
          dict(Task="Job B", Start='2009-03-05',
               Finish='2009-04-15', Resource='Grape'),
          dict(Task="Job C", Start='2009-02-20',
               Finish='2009-05-30', Resource='Banana')]
    
    # Make a dictionary of colors
    colors = {'Apple': 'rgb(255, 0, 0)',
              'Grape': 'rgb(170, 14, 200)',
              'Banana': (1, 1, 0.2)}
    
    # Create a figure with Plotly colorscale
    fig = create_gantt(df, colors=colors, index_col='Resource',
                       show_colorbar=True)
    
    # Plot the data
    py.iplot(fig, filename='dictioanry colors', world_readable=True)
    ```
    
    Example 5: Use a pandas dataframe
    ```
    import plotly.plotly as py
    from plotly.figure_factory import create_gantt
    
    import pandas as pd
    
    # Make data as a dataframe
    df = pd.DataFrame([['Run', '2010-01-01', '2011-02-02', 10],
                       ['Fast', '2011-01-01', '2012-06-05', 55],
                       ['Eat', '2012-01-05', '2013-07-05', 94]],
                      columns=['Task', 'Start', 'Finish', 'Complete'])
    
    # Create a figure with Plotly colorscale
    fig = create_gantt(df, colors='Blues', index_col='Complete',
                       show_colorbar=True, bar_width=0.5,
                       showgrid_x=True, showgrid_y=True)
    
    # Plot the data
    py.iplot(fig, filename='data with dataframe', world_readable=True)
    ```

Collecting git+https://github.com/plotly/publisher.git
  Cloning https://github.com/plotly/publisher.git to /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-YZa4vA-build
Installing collected packages: publisher
  Found existing installation: publisher 0.10
    Uninstalling publisher-0.10:
      Successfully uninstalled publisher-0.10
  Running setup.py install for publisher ... - done
Successfully installed publisher-0.10