svg - How can I set stroke-width on a path after it's been transformed? -


i have svg file of form:

<svg xmlns="http://www.w3.org/2000/svg" version="1.1">   <path d="m0.0 0.0 l1.0 0.0 l1.0 1.0 l0.0 1.0 l0.0 0.0 z" fill="none" transform="translate(276.53762663809374, 97.7838427947598) scale(177.52243125896803, -89.004366812227)" style="stroke: black; stroke-width: 0.5px;"></path> </svg>

the image displays huge black border when want show 0.5px border. how can stroke-width apply after transform? if isn't possible, what's easiest way wrap element displays correctly? i'd avoid modifying "d" attribute.

you use vector-effect="non-scaling-stroke"

<svg xmlns="http://www.w3.org/2000/svg" version="1.1">   <path vector-effect="non-scaling-stroke" d="m0.0 0.0 l1.0 0.0 l1.0 1.0 l0.0 1.0 l0.0 0.0 z" fill="none" transform="translate(276.53762663809374, 97.7838427947598) scale(177.52243125896803, -89.004366812227)" style="stroke: black; stroke-width: 0.5px;"></path> </svg>

one caveat ie9/10 don't implement webkit, opera , firefox do.


Comments

Post a Comment

Popular posts from this blog

python - How to create a legend for 3D bar in matplotlib? -

Image
given ax = plt.subplot() : ax.bar()[0] can passed plt.legend() . however, ax.bar3d() returns none . how create legend displayed bars? update: passing legend="stuff" ax.bar3d() , calling ax.legend() raises /usr/lib/python2.6/site-packages/matplotlib/axes.py:4368: userwarning: no labeled objects found. use label='...' kwarg on individual plots. warnings.warn("no labeled objects found. " you need use proxy artist legends not supported. this code: from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot plt import numpy np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x, y = np.random.rand(2, 100) * 4 hist, xedges, yedges = np.histogram2d(x, y, bins=4) elements = (len(xedges) - 1) * (len(yedges) - 1) xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25) xpos = xpos.flatten() ypos = ypos.flatten() zpos = np.zeros(elements) dx = 0.5 * np.ones_like(zpos) dy = dx.copy() dz = hist.flatten() ax...
Read more

php - Dynamic url re-writing using htaccess -

how can rewrite http://mydomain.com/test/master.php?catid=2&subcatid=8 http://mydomain.com/test/master.php/catname/subcat using .htaccess file. once rewritten, how can access these parameters in master.php? note: untested, let me know if doesn't work. rewriterule ^master.php/([a-za-z0-9_-]+)/([a-za-z0-9_-]+)$ /master.php?catid$1&subcatid=$2 [l]
Read more

java - Multi-Label Document Classification -

i have database in store data based upon following 3 fields: id, text, {labels}. note each text has been assigned more 1 label \ tag \ class. want build model (weka \ rapidminer \ mahout) able recommend \ classify bunch of labels \ tags \ classes given text. i have heard svm , naive bayes classifier, not sure whether support multi-label classification or not. guides me right direction more welcome! the basic multilabel classification method one-vs.-the-rest (ovr), called binary relevance (br). basic idea take off-the-shelf binary classifier, such naive bayes or svm, create k instances of solve k independent classification problems. in python-like pseudocode: for each class k: learner = svm(settings) # example labels = [class_of(x) == k x in samples] learner.learn(samples, labels) then @ prediction time, run each of binary classifiers on sample , collect labels predict positive. (both training , prediction can done in parallel, since problems assumed ...
Read more