Strip Charts in Python
Strip charts are like 1-dimensional jittered scatter plots.
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Strip Charts with Plotly Express¶
Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.
The px.strip() function will make strip charts using underlying box traces with the box hidden.
See also box plots and violin plots.
import plotly.express as px
df = px.data.tips()
fig = px.strip(df, x="total_bill", y="day")
fig.show()
Strip charts support faceting and discrete color:
import plotly.express as px
df = px.data.tips()
fig = px.strip(df, x="total_bill", y="time", color="sex", facet_col="day")
fig.show()
Reference¶
See function reference for px.strip() for more information and chart attribute options!
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
