关于python：如何使用plotly py.image.save_as指定用于保存图像的目录

How to specify a directory in which to save an image using plotly py.image.save_as

我想将生成的绘图图像保存到特定目录中，但是save_as仅具有filename自变量。
我正在使用以下代码来保存图

py.image.save_as(fig,filename='T_avg_'+lst_QoST_prop[i]+'.pdf')

是否可以指定目录？

为了将文件保存在特定的文件路径中，您需要使用filename参数。

1 2	import plotly.plotly as py help(py.image)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
| Helper functions wrapped around plotly's static image generation api.
|
| Class methods defined here:
| save_as(figure_or_data, filename, format=None, width=None, height=None, scale=None) from builtins.type
| Save a image of the plot described by `figure_or_data` locally as
| `filename`.
|
| Valid image formats are 'png', 'svg', 'jpeg', and 'pdf'.
| The format is taken as the extension of the filename or as the
| supplied format.
|
| positional arguments:
| - figure_or_data: The figure dict-like or data list-like object that
| describes a plotly figure.
| Same argument used in `py.plot`, `py.iplot`,
| see https://plot.ly/python for examples
| - filename: The filepath to save the image to
| - format: 'png', 'svg', 'jpeg', 'pdf'
| - width: output width
| - height: output height
| - scale: Increase the resolution of the image by `scale` amount
| Only valid for PNG and JPEG images.

使用文件名和路径(离线)：

However, this results in a HTML file that's opened in a new tab of the
browser. The image is saved to the 'Downloads' folder, and it's not
possible to specify the path at which the image should be saved.

1
2
3
4
5

from plotly.offline import py
from plotly.graph_objs import Scatter

plot([Scatter(x=[14, 19, 24, 29, 34, 39, 89],
y=[30, 15, 18, 30, 24, 27, 50])], filename='2/billympoufo.html')

因此，您将在指定的文件夹中拥有html文件(下载文件夹中的图像)，以便绕过浏览器行为，您可以：
(1)从shutil导入copyfile并移动图像。

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19

import os
import plotly
import plotly.graph_objs as go
import time
from shutil import copyfile

img_name = 'billympoufo'
dload = os.path.expanduser('~/Downloads')
save_dir = '/tmp'

data = [go.Scatter(x=[14, 19, 24, 29, 34, 39, 44, 49, 54, 59, 64, 69, 74, 79, 84, 89, 1], y=[30, 15, 18, 30, 24, 27, 50, 36, 39, 42, 50, 48, 51, 54])]

plotly.offline.plot(data, image_filename=img_name, image='svg')

### might need to wait for plot to download before copying
time.sleep(1)

copyfile('{}/{}.svg'.format(dload, img_name),
'{}/{}.svg'.format(save_dir, img_name))

for more offline options: (2) check chromium or (3) Firefox download
behavior. By using the parameter auto_open=False it
should save the image in the folder without opening a tab in your
browser but this was an an issue, check here: Directly save image
(without opening in browser) #880 and plotly didn't plan to
add this feature at that time.
Also you can (4) use selenium to screenshot the page

在Jupiter中，对于离线保存，您可以执行以下操作：

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55

import os
import pandas as pd
import plotly
import plotly.graph_objs as go
import time
from selenium import webdriver
from PIL import Image
from pyvirtualdisplay import Display

### from bokeh/io, slightly modified to avoid their import_required util
### didn't ultimately use, but leaving in case I figure out how to stick wtih phentomjs
### - https://github.com/bokeh/bokeh/blob/master/bokeh/io/export.py
def create_default_webdriver():
'''Return phantomjs enabled webdriver'''
phantomjs_path = detect_phantomjs()
return webdriver.PhantomJS(executable_path=phantomjs_path, service_log_path=devnull)

### based on last SO answer above
### - https://stackoverflow.com/questions/38615811/how-to-download-a-file-with-python-selenium-and-phantomjs
def create_chromedriver_webdriver(dload_path):
display = Display(visible=0)
display.start()
chrome_options = webdriver.ChromeOptions()
prefs = {"download.default_directory": dload_path}
chrome_options.add_experimental_option("prefs", prefs)
driver = webdriver.Chrome(chrome_options=chrome_options)
return driver, display
df = pd.DataFrame(
{'fruits': ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'],
'counts': [5, 3, 4, 2, 4, 6] })
data = [go.Bar(x=df['fruits'],y=df['counts'])]
dload = os.path.expanduser('~/Downloads')
html_file = 'plotly-fruit-plot.html'
fname = 'plotly-fruit-plot'

### original code contained height/width for the display and chromium webdriver
### I found they didn't matter; specifying the image size to generate will
### produce a plot of that size no matter the webdriver
plotly.offline.plot(data, filename=html_file, auto_open=False,
image_width=1280, image_height=800,image_filename=fname, image='png')

### create webdrive, open file, maximize, and sleep
driver, display = create_chromedriver_webdriver(dload)
driver.get('file:///{}'.format(os.path.abspath(html_file)))

# make sure we give the file time to download
time.sleep(1)

### was in the SO post and could be a more robust way to wait vs. just sleeping 1sec
# while not(glob.glob(os.path.join(dl_location, filename))):
# time.sleep(1)
driver.close()
display.stop()
image = Image.open('{}.png'.format(os.path.join(dload, fname)))
image

(来源：木星)

或在线文件夹：

1
2
3
4
5
6
7
8
9
10
11

import plotly.plotly as py
import plotly.graph_objs as go
# sign in
data = [
go.Scatter(
x=[14, 19, 24, 29, 5, 10, 22],
y=[15, 18, 30, 24, 27, 30, 40]
)
]

plot_out = py.plot(data, filename='all_my_graphs/my_new_plot')

我发现的最简单方法，如有任何疑问，请遵循文档https://plotly.com/python/static-image-export/

安装之前>> pip install -U kaleido

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41

import plotly.graph_objects as go
import os

fig = go.Figure()
fig.add_trace(go.Bar(x=["A"],
y=[25],
marker_color='rgb(55, 83, 109)',
name="A"
))
fig.add_trace(go.Bar(x=["B"],
y=[50],
marker_color='rgb(26, 118, 255)',
name="B"
))
fig.update_layout(
title='Test',
xaxis_tickfont_size=14,
yaxis=dict(
title='Time (ms)',
titlefont_size=16,
tickfont_size=14,
),
legend=dict(
x=1.0,
y=1.0,
bgcolor='rgba(255, 255, 255, 0)',
bordercolor='rgba(255, 255, 255, 0)'
),
barmode='group',
bargap=0.02,
bargroupgap=0.6,
width=500,
height=400
)

#fig.show()

if not os.path.exists("images"):
os.mkdir("images")

fig.write_image("images/fig1.pdf")