How to make Smith Charts with plotly.
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Smith Charts with Plotly Graph Objects¶In [1]:
import plotly.graph_objects as go fig = go.Figure(go.Scattersmith(imag=[0.5, 1, 2, 3], real=[0.5, 1, 2, 3])) fig.show()Smith Chart Subplots and Styling¶
In [2]:
import plotly.graph_objects as go fig = go.Figure() fig.add_trace(go.Scattersmith( imag=[1], real=[1], marker_symbol='x', marker_size=30, marker_color="green", subplot="smith1" )) fig.add_trace(go.Scattersmith( imag=[1], real=[1], marker_symbol='x', marker_size=30, marker_color="pink", subplot="smith2" )) fig.update_layout( smith=dict( realaxis_gridcolor='red', imaginaryaxis_gridcolor='blue', domain=dict(x=[0,0.45]) ), smith2=dict( realaxis_gridcolor='blue', imaginaryaxis_gridcolor='red', domain=dict(x=[0.55,1]) ) ) fig.update_smiths(bgcolor="lightgrey") fig.show()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
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