pythonplotlydata-visualization

how to hide plotly yaxis title (in python)?


Editing: The following example from Plotly for reference:

import plotly.express as px

df = px.data.gapminder().query("continent == 'Europe' and year == 2007 and pop > 2.e6")
fig = px.bar(df, y='pop', x='country', text='pop')
fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')
fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')
fig.show()

How to remove the word 'pop'.


What I want to hide the y-axis title of'value'.

enter image description here The following syntax doesn't work.

fig.update_yaxes(showticklabels=False)

Thanks.


Solution

  • Solution

    You need to use visible=False inside fig.update_yaxes() or fig.update_layout() as follows. For more details see the documentation for plotly.graph_objects.Figure.

    # Option-1:  using fig.update_yaxes()
    fig.update_yaxes(visible=False, showticklabels=False)
    
    # Option-2: using fig.update_layout()
    fig.update_layout(yaxis={'visible': False, 'showticklabels': False})
    
    # Option-3: using fig.update_layout() + dict-flattening shorthand
    fig.update_layout(yaxis_visible=False, yaxis_showticklabels=False)
    

    Try using the following to test this:

    # Set the visibility ON
    fig.update_yaxes(title='y', visible=True, showticklabels=False)
    # Set the visibility OFF
    fig.update_yaxes(title='y', visible=False, showticklabels=False)
    

    A. How to create the figure directly with hidden-yaxis label and tickmarks

    You can do this directly by using the layout keyword and supplying a dict to go.Figure() constructor.

    import plotly.graph_objects as go
    fig = go.Figure(
        data=[go.Bar(y=[2, 1, 3])],
        layout_title_text="A Figure Displaying Itself",
        layout = {'xaxis': {'title': 'x-label',
                            'visible': True,
                            'showticklabels': True},
                  'yaxis': {'title': 'y-label',
                            'visible': False,
                            'showticklabels': False}
                  }
    )
    fig
    

    enter image description here

    B. How to create the figure without the margin space around

    Say, you suppressed the titles for both the axes. By default plotly would still leave a default amount of space all around the figure: this is known as the margin in Plotly's documention.

    What if you want to reduce or even completely remove the margin?

    This can be done using fig.update_layout(margin=dict(l = ..., r = ..., t = ..., b = ...)) as mentioned in the documentation:

    In the following example, I have reduced the left, right and bottom margins to 10 px and set the top margin to 50 px.

    import plotly.graph_objects as go
    
    fig = go.Figure(
        data=[go.Bar(y=[2, 1, 3])],
        layout_title_text="A Figure with no axis-title and modified margins",
        layout = {
            'xaxis': {'title': 'x-label',
                    'visible': False,
                    'showticklabels': True},
            'yaxis': {'title': 'y-label',
                    'visible': False,
                    'showticklabels': False},
            # specify margins in px
            'margin': dict(
                l = 10,        # left
                r = 10,        # right
                t = 50,        # top
                b = 10,        # bottom
            ),
        },
    )
    fig
    

    plotly-figure-with-no-axis-titles-and-reduced-margins

    C. An Interesting Feature of Plotly: A hidden shorthand

    It turns out that Plotly has a convenient shorthand notation allowing dict-flattening available for input arguments such as this:

    ## ALL THREE METHODS BELOW ARE EQUIVALENT
    
    # No dict-flattening
    # layout = dict with yaxis as key
    layout = {'yaxis': {'title': 'y-label',
                        'visible': False,
                        'showticklabels': False}
    }
    
    # Partial dict-flattening
    # layout_yaxis = dict with key-names
    #     title, visible, showticklabels
    layout_yaxis = {'title': 'y-label',
                    'visible': False,
                    'showticklabels': False}
    
    # Complete dict-flattening
    # layout_yaxis_key-name for each of the key-names
    layout_yaxis_title = 'y-label'
    layout_yaxis_visible = False
    layout_yaxis_showticklabels = False
    

    Now try running all three of the following and compare the outputs.

    import plotly.graph_objects as go
    
    # Method-1: Shortest (less detailed)
    fig = go.Figure(
        data=[go.Bar(y=[2, 1, 3])],
        layout_title_text="A Figure Displaying Itself",
        layout_yaxis_visible = False,
        layout_xaxis_title = 'x-label'
    )
    fig.show()
    
    # Method-2: A hibrid of dicts and underscore-separated-syntax
    fig = go.Figure(
        data=[go.Bar(y=[2, 1, 3])],
        layout_title_text="A Figure Displaying Itself",
        layout_xaxis_title = 'x-label',
        layout_yaxis = {'title': 'y-label',
                            'visible': False,
                            'showticklabels': False}
    )
    fig.show()
    
    # Method-3: A complete dict syntax
    fig = go.Figure(
        data=[go.Bar(y=[2, 1, 3])],
        layout_title_text="A Figure Displaying Itself",
        layout = {'xaxis': {'title': 'x-label',
                            'visible': True,
                            'showticklabels': True},
                  'yaxis': {'title': 'y-label',
                            'visible': False,
                            'showticklabels': False}
                  }
    )
    fig.show()