Supported CSS Colors in Python

A list of supported named CSS Colors

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Supported CSS Colors¶

Many properties in Plotly.py for configuring colors support named CSS colors. For example, marker colors:

In [1]:

import plotly.graph_objects as go

fig = go.Figure([
    go.Bar(
        x=['Jan', 'Feb', 'Mar', 'Apr'],
        y=[20, 14, 25, 16],
        name='Primary Product',
        # Named CSS color
        marker_color='royalblue'
    )
])

fig.show()

These colors are supported in Plotly.py when a property accepts a named CSS color.

What About Dash?¶

Dash is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash at https://dash.plot.ly/installation.

Everywhere in this page that you see fig.show(), you can display the same figure in a Dash application by passing it to the figure argument of the Graph component from the built-in dash_core_components package like this:

import plotly.graph_objects as go # or plotly.express as px
fig = go.Figure() # or any Plotly Express function e.g. px.bar(...)
# fig.add_trace( ... )
# fig.update_layout( ... )

from dash import Dash, dcc, html

app = Dash()
app.layout = html.Div([
    dcc.Graph(figure=fig)
])

app.run(debug=True, use_reloader=False)  # Turn off reloader if inside Jupyter