Reputation: 5151
I am working with plotly offline and am able to generate an html file using
plotly.offline.plot({"data": data, "layout": layout})
It works great. The graph is generated correctly and the html file gets saved to my current directory.
What I want, though is, using plotly offline, is to have an image (.png, .jpg, etc.) file saved instead. Am I on the right track? What do I need to do from here?
Upvotes: 17
Views: 47968
Reputation: 545
Simple way of using python plotly graphs offline:
1) Write import statements
import plotly.graph_objs as go
import plotly as plotly
import plotly.express as px
2) write your plotly graph code e.g.
data = px.data.gapminder()
data_canada = data[data.country == 'Canada']
fig = px.bar(data_canada, x='year', y='pop',
hover_data=['lifeExp', 'gdpPercap'], color='lifeExp',
labels={'pop':'population of Canada'}, height=400)
3) name your figure (provide reader-friendly name :) )
plotly.offline.plot(fig, filename= output_filename + ".html")
4) Well-done! Please add comments, if you like my answer!
Upvotes: 3
Reputation: 161
Try this
import plotly.offline
import plotly.graph_objs as go
plotly.offline.plot({"data": [go.Scatter(x=[1, 2, 3, 4], y=[4, 3, 2, 1])],
"layout": go.Layout(title="hello world")},
image='jpeg', image_filename='test')
and open it in Chrome
Upvotes: 15
Reputation: 27
Here says to use
import plotly.plotly as py
# Generate the figure
trace = Bar(x=[1,2,3],y=[4,5,6])
data = [trace]
layout = Layout(title='My Plot')
fig = Figure(data=data,layout=layout)
# Save the figure as a png image:
py.image.save_as(fig, 'my_plot.png')
Upvotes: -2
Reputation: 1288
I found the solution in the documentation here:
https://plot.ly/python/static-image-export/
So a minimal example would be:
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
N = 1000
random_x = np.random.randn(N)
random_y = np.random.randn(N)
trace = go.Scatter(
x = random_x,
y = random_y,
mode = 'markers'
)
data = [trace]
py.image.save_as({'data':data}, 'scatter_plot', format='png')
Upvotes: 9
Reputation: 1288
one possibility using ipython notebook is to display the graph and then choose the option "Download plot as png" manually.
Upvotes: 0