How to save Plotly Offline graph in format png?(如何以 png 格式保存 Plotly 离线图?)
问题描述
I am using Plotly offline to generate graph in python.
As per the documentation below,
https://plot.ly/python/offline/
Here is my code, which perfectly generates C:/tmp/test_plot.html file.
import plotly.offline as offline
offline.init_notebook_mode()
offline.plot({'data': [{'y': [4, 2, 3, 4]}],
'layout': {'title': 'Test Plot',
'font': dict(family='Comic Sans MS', size=16)}},
auto_open=False, filename='C:/tmp/test_plot')
How can I save this graph as png instead of html?
offline.plot method has image='png and image_filename='image_file_name' attributes to save the file as a png.
offline.plot({'data': [{'y': [4, 2, 3, 4]}],
'layout': {'title': 'Test Plot',
'font': dict(family='Comic Sans MS', size=16)}},
auto_open=True, image = 'png', image_filename='plot_image',
output_type='file', image_width=800, image_height=600,
filename='temp-plot.html', validate=False)
See more details inside offline.py or online at plotly.
However, one caveat is that , since the output image is tied to HTML, it will open in browser and ask for permissions to save the image file. You can turn that off in your browser settings.
Alternately,
You may want to look at plotly to matplotlib conversion using plot_mpl.
Following example is from offline.py
from plotly.offline import init_notebook_mode, plot_mpl
import matplotlib.pyplot as plt
init_notebook_mode()
fig = plt.figure()
x = [10, 15, 20, 25, 30]
y = [100, 250, 200, 150, 300]
plt.plot(x, y, "o")
plot_mpl(fig)
# If you want to to download an image of the figure as well
plot_mpl(fig, image='png')
这篇关于如何以 png 格式保存 Plotly 离线图?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持编程学习网!
本文标题为:如何以 png 格式保存 Plotly 离线图?
基础教程推荐
- pyserial - 可以从线程 a 写入串行端口,是否阻塞从线程 b 读取? 2022-01-01
- 由Python将MP3转换为MIDI(类型错误:无法加载插件:mtg-Melodia:Melodia) 2022-01-01
- 将 x 轴刻度更改为自定义字符串 2022-01-01
- 尝试制作WhatsApp机器人 2022-01-01
- Discord.py 缺少必需的参数 2022-01-01
- numpy float:比算术运算中内置的慢 10 倍? 2022-01-01
- 用 Python 编写 Fortran 无格式文件 2022-01-01
- 与常规 dict 相比,Python manager.dict() 非常慢 2022-01-01
- 在 Celery 工作人员中捕获 Heroku SIGTERM 以优雅地关 2022-01-01
- 使用生成器和迭代器时 Python 多循环失败 2022-01-01
