python - Matplotlib 2.0 stripes in histogram -
i vertical stripes between bins when creating histogram matplotlib 2.0.2, python2.7, win7,64bit, visible both in pdf , png created. usig pgf latex create pdf use includegraphics in pdflatex document. png created quick check.
this not case in matplotlib 1.5.3. how rid of these white lines separating individual bins?
things tried:
- switching antialiasing on/off (aa=true/false in hist command)
- drawing line (ls="-"/ls="none" in hist command)
- one thing kind of work giving width bins (width=2.3), not work pdf in zoom values.
code produce image
import matplotlib mpl mpl.use('pgf') pgf_with_latex = { # setup matplotlib use latex output "pgf.texsystem": "pdflatex", # change if using xetex or lautex "text.usetex": true, # use latex write text "font.family": "serif", "font.serif": [], # blank entries should cause plots inherit fonts document "font.sans-serif": [], "font.monospace": [], "axes.labelsize": 10, # latex default 10pt font. "font.size": 8, "legend.fontsize": 7, # make legend/label fonts little smaller "xtick.labelsize": 7, "ytick.labelsize": 7, "pgf.preamble": [ r"\usepackage[utf8x]{inputenc}", # use utf8 fonts becasue computer can handle :) r"\usepackage[t1]{fontenc}", # plots generated using preamble r"\usepackage{siunitx}", r"\declaresiunit[number-unit-product = {}] ", r"\lsb{lsb}", ] } mpl.rcparams.update(pgf_with_latex) import matplotlib.pyplot pl import numpy np fig=pl.figure(figsize=(3,2)) ax1 = fig.add_subplot(111) dat=np.random.normal(-120-60,40,200000).astype(int) bins=np.arange(int(np.amin(dat))-.5,127.5,2) ax1.hist(dat, bins = bins, stacked = true) ax1.set_title("\\emph{(a)} minimal example") ax1.set_yscale("log", nonposy="clip") ax1.set_ylim(0.8, 20000) ax1.set_xlim(none, 130) ax1.set_ylabel("frequency") ax1.set_xlabel("data") ax1.set_xticks([-300,-200, -127,0,127]) fig.tight_layout(h_pad=1,w_pad=0.2) pl.savefig('test.png', bbox_inches='tight',dpi=600) pl.savefig('test.pdf', bbox_inches='tight',dpi=600) output of above code:
1. not using pgf backend
as @unutbu pointed out in (unfortunately deleted) answer, not using pgf backend produce expected plot.
removing line
mpl.use('pgf') will give
2. step function
if reason use of pgf backend cannot avoided, workaround may use step function plot histogram. removing ax1.hist(...) code , replacing with
hist, ex = np.histogram(dat, bins = bins) ax1.fill_between(bins[:-1], hist, lw=0.0, step="post") gives
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