graphing-multiple-chart-types.md

jupyter

jupytext kernelspec language_info plotly notebook_metadata_filter text_representation all extension format_name format_version jupytext_version .md markdown 1.1 1.1.7 display_name language name Python 3 python python3 codemirror_mode file_extension mimetype name nbconvert_exporter pygments_lexer version name version ipython 3 .py text/x-python python python ipython3 3.7.2 description display_as language layout name order page_type permalink thumbnail How to design figures with multiple chart types in python. file_settings python base Multiple Chart Types 16 u-guide python/graphing-multiple-chart-types/ thumbnail/multiple-chart-type.jpg

Line Chart and a Bar Chart

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(
    go.Scatter(
        x=[0, 1, 2, 3, 4, 5],
        y=[1.5, 1, 1.3, 0.7, 0.8, 0.9]
    ))

fig.add_trace(
    go.Bar(
        x=[0, 1, 2, 3, 4, 5],
        y=[1, 0.5, 0.7, -1.2, 0.3, 0.4]
    ))

fig.show()

A Contour and Scatter Plot of the Method of Steepest Descent

import plotly.graph_objects as go

# Load data
import json
import six.moves.urllib

response = six.moves.urllib.request.urlopen(
    "https://raw-hub.myxuebi.top/plotly/datasets/master/steepest.json")

data = json.load(response)

# Create figure
fig = go.Figure()

fig.add_trace(
    go.Contour(
        z=data["contour_z"][0],
        y=data["contour_y"][0],
        x=data["contour_x"][0],
        ncontours=30,
        showscale=False
    )
)

fig.add_trace(
    go.Scatter(
        x=data["trace_x"],
        y=data["trace_y"],
        mode="markers+lines",
        name="steepest",
        line=dict(
            color="black"
        )
    )
)

fig.show()

Reference

See https://plotly.com/python/reference/ for more information and attribute options!