CODEWITHSUNDEEP
pythonsvgmatplotlibeps
Jared
Jared

Reputation: 3892

Matplotlib imshow with EPS

Is there a way to use PIL with matplotlib to place logos that are in EPS or SVG (or any scalable vector format) in order to place the logo on the graph and output the final file as EPS. Now I get a terribly rendered graphic because there is an .png file trying to be converted to EPS format, where the goal is to save the image as an .eps or .svg.

I think this may be a restriction due to the backend, I'm open to changing which one I use.

This is what does not work:

    ax1.set_axis_bgcolor('#fafafa')
    
    img = image.imread('./static/images/logo.png')
    image_axis = fig.add_axes(ax1.get_position())
    image_axis.patch.set_visible(False)
    image_axis.yaxis.set_visible(False)
    image_axis.xaxis.set_visible(False)
    image_axis.set_xlim(0,19.995)
    image_axis.set_ylim(0,11.25)

    image_axis.imshow(img, extent=(11.79705,18.99525,.238125,1.313625), zorder=-1, alpha=0.15) #need to keep a 5.023 x by y ratio (.4 x .079)

    fig.savefig('static/images/graphs/'+filename+'.eps', format='eps', bbox_inches='tight')

Any updates?

Upvotes: 19

Views: 6076

Answers (3)

wagnifico
wagnifico

Reputation: 732

This is an old question, but worth answering for current and future visitors wanting to do the same.

There is a way to load SVG files and convert them into Path objects, implemented in the svgpath2mpl package. From the project's page:

A path in SVG is defined by a 'path' element which contains a d="(path data)" attribute that contains moveto, line, curve (both cubic and quadratic Béziers), arc and closepath instructions. Matplotlib actually supports all of these instructions natively but doesn't provide a parser or fully compatible API.

Seen at Matplotlib custom marker/symbol.

Upvotes: 2

JRM
JRM

Reputation: 195

I removed my code snippet as it was not useful.

It is not possible to use native SVG as image in Matplotlib. Matplotlib supports natively only png and then falls back to Pillow which does not support svg either, see http://pillow.readthedocs.io/en/latest/handbook/image-file-formats.html or matplotlib image documentation.

Pillow supports eps, so that will work! (I am not sure what matplotlib will make of it internally)

I use it like this :

# Pillow must be there
import matplotlib.image as mpimg

def Save_svg(fig):
    # expects a matplotlib figure
    # And puts a logo into a frameless new axes
    imagefile = 'logo.eps'
    svgfile   = 'output.svg'
    logoax    = [0.265, 0.125, 0.3, 0.3]
    img=mpimg.imread(imagefile)
    #
    newax = fig.add_axes(logoax, anchor='SW', zorder=100)
    newax.imshow(img)
    newax.axis('off')
    #
    fig.savefig(svgfile,dpi=300)

Upvotes: 0

GBy
GBy

Reputation: 1779

I usually achive a better rendering in this case with something like:

from PIL import Image

logo = Image.open('icons\logo.png')
# TODO define bbox as a matplotlib.transforms.Bbox
image_axis.imshow(logo, clip_box=bbox, aspect='equal',
   origin='lower', interpolation='nearest')

(Matplotlib 1.4.2, if you use an old version playing with interpolation and origin options may help)

Upvotes: 0

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