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'.
The following syntax doesn't work.
fig.update_yaxes(showticklabels=False)
Thanks.
To disable this floating toolbar, we can pass a single config parameter to the plot function. We use the predefined config object in Plotly. And we just need to set displayModeBar to false in the config object. This parameter passed in dictionary format will hide the floating toolbar once and for all.
In this example, we are hiding legend in Plotly with the help of method fig. update(layout_showlegend=False), by passing the showlegend parameter as False.
By default, text annotations have xref and yref set to "x" and "y" , respectively, meaning that their x/y coordinates are with respect to the axes of the plot.
Adding Traces New traces can be added to a plot_ly figure using the add_trace() method. This method accepts a plot_ly figure trace and adds it to the figure. This allows you to start with an empty figure, and add traces to it sequentially.
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 doing 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)
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
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
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()
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