import plotly.express as px
df = px.data.gapminder().query("country=='Canada'")
fig = px.line(
df,
x="year",
y="lifeExp",
title="Life expectancy in Canada",
)
rx.plotly(data=fig, height="400px")
import plotly.graph_objects as go
import pandas as pd
# Read data from a csv
z_data = pd.read_csv(
"https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv"
)
fig = go.Figure(data=[go.Surface(z=z_data.values)])
fig.update_traces(
contours_z=dict(
show=True,
usecolormap=True,
highlightcolor="limegreen",
project_z=True,
)
)
fig.update_layout(
scene_camera_eye=dict(x=1.87, y=0.88, z=-0.64),
width=500,
height=500,
margin=dict(l=65, r=50, b=65, t=90),
)
rx.plotly(data=fig, height="400px")
Display a plotly graph.