How can I save images generated with plotly in different formats? Only "Download as PNG" is possible from the generated HTML figure. I would need to interact with the figure (change rotation, choose which data to plot) and save an .eps figure for each online modified plot. Thanks a lot!
Plotly supports exporting to EPS (the docs mention that you need the poppler library) and the Figure object has a write_image method that saves a figure to a file.
You can specify the format through the filename and the resolution with the width and height keyword arguments, representing logical pixels.
You can read more on static image exporting in Plotly here. This is a code example:
fig.write_image("name.eps", width=1920, height=1080)
In order to select what is plotted you will have to set the figure's camera controls.
Related
I need to use an API that only allows sending a RGB Geotiff image to be visualized over a map to an specif location. However, it is really important that this image has a legend bar included showing what value is related to an specific color, as shown here https://user-images.githubusercontent.com/11286381/36511755-b58e6cc8-171c-11e8-9385-e90c3795be14.png.
I did not find any way to overlay or include a legend without lose its georeferencing information.
I'm trying to create a pdf using Python's reportlab module.
I generated a png with matplotlib and saved it in the pdf file using report labs canvas.drawImage method.
My problem is that the generated png file is very fuzzy. I specified the size in inches with plt.figure(figsize=(20,10)) and saved the picture with the plt.savefig method.
This works out perfectly (except the fuzzy quality of the picture).
But when I increase the dpi within the savefig method the size of the picture increases.
Is there any way to improve the dpi without changing the picture size.
Or is there a way to resize it to the predefined values?
Thanks!
f = df.plot()
fig = f.get_figure()
fig.set_size_inches((2,2))
fig.savefig('C:/temp/foo.png', bbox_inches='tight', dpi=1500)
I am trying to export some grid into either png or svg but with svg option—as the doc states-the plots are exported as multiple files. So the only option is png. (For some reason if I use the toolbar, I only get the first plot and not the other).
But the quality of the png is terrible. Is there an option to set dpi or whatever? Even I you try to save graphs on the official documentation, you obtain poor quality.
I really like Bokeh and found it nicer to use that any other libs but this quality export is critical for me (publication purpose).
In recent versions of Bokeh the export_png accepts width and height parameters that you can set as arbitrarily large as you like, e.g:
export_png(p, "plot.png", width=2400, height=1000)
I need to export pictures of the graphs and plots I am creating with Bokeh.
Usually I do
output_file("test.html")
However, I want to copy that graph into an Excel Sheet.
It does not have to be interactive anymore, though that would be brillant.
How do I export the graph as a picture? Using code, not clicking on "preview/save".
As of Bokeh 0.12.6, it is now possible to export PNG and SVG directly from
Python code.
Exporting PNGs looks like this
export_png(plot, filename="plot.png")
And exporting SVGs looks like this
plot.output_backend = "svg"
export_svgs(plot, filename="plot.svg")
There are some optional dependencies that need to be installed.
You can find more information in the Exporting Plots section of the User Guide.
Alternatively, if you are willing to work with JavaScript. And, for instance, if you want to save many canvas (each canvas element has a plot) at the same time you can use the JavaScript method canvas.toDataUrl() to convert the canvas to png as base64. When you get all the images you can do whatever you want with them. These images have 96dpi and it cannot be changed, so if you want more resolution you will have to update the sizes of all the elements of the plot before the convertion as well: fonts, axis, plot size...
If you use this approach you do not need to install selenium and phantomjs dependencies in your python environment.
Also, be aware that if you use export_png and you export the plot with a bigger size, the axis and fonts are not going to be proportionally bigger
I need to export pictures of the graphs and plots I am creating with Bokeh.
Usually I do
output_file("test.html")
However, I want to copy that graph into an Excel Sheet.
It does not have to be interactive anymore, though that would be brillant.
How do I export the graph as a picture? Using code, not clicking on "preview/save".
As of Bokeh 0.12.6, it is now possible to export PNG and SVG directly from
Python code.
Exporting PNGs looks like this
export_png(plot, filename="plot.png")
And exporting SVGs looks like this
plot.output_backend = "svg"
export_svgs(plot, filename="plot.svg")
There are some optional dependencies that need to be installed.
You can find more information in the Exporting Plots section of the User Guide.
Alternatively, if you are willing to work with JavaScript. And, for instance, if you want to save many canvas (each canvas element has a plot) at the same time you can use the JavaScript method canvas.toDataUrl() to convert the canvas to png as base64. When you get all the images you can do whatever you want with them. These images have 96dpi and it cannot be changed, so if you want more resolution you will have to update the sizes of all the elements of the plot before the convertion as well: fonts, axis, plot size...
If you use this approach you do not need to install selenium and phantomjs dependencies in your python environment.
Also, be aware that if you use export_png and you export the plot with a bigger size, the axis and fonts are not going to be proportionally bigger