Filter in Python
How to use filters in Python with Plotly.
New to Plotly?
Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.
import plotly.io as pio subject = ['Moe','Larry','Curly','Moe','Larry','Curly','Moe','Larry','Curly','Moe','Larry','Curly'] score = [1,6,2,8,2,9,4,5,1,5,2,8] data = [dict( type = 'scatter', x = subject, y = score, mode = 'markers', transforms = [dict( type = 'filter', target = 'y', operation = '>', value = 4 )] )] layout = dict( title = 'Scores > 4' ) fig_dict = dict(data=data, layout=layout) pio.show(fig_dict, validate=False)
See https://plotly.com/python/reference/ for more information and chart attribute options!
What About Dash?¶
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( ... ) import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div([ dcc.Graph(figure=fig) ]) app.run_server(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter