simple pyplot + prettyplotlib example

graph.py

import numpy as np #numerical stuff
import pylab as pl #for poly line fit
import sys
import prettyplotlib as ppl # makes nicer colors and generally better to look at graphs
from prettyplotlib import plt # This is "import matplotlib.pyplot as plt" from the prettyplotlib library
from prettyplotlib import mpl # This is "import matplotlib as mpl" from the prettyplotlib library

# change font to Open Sans (has some kerning issues, though)
mpl.rcParams.update({'font.family':'Open Sans'})

# get name of file to process
inputFileName = sys.argv[1]

# load csv file with EPOCHTIME;NOFPROCESSES
data = np.loadtxt(inputFileName, delimiter=";")

# fig, ax = plt.subplots(figsize=(14,8)) #shorthand
fig = plt.figure(figsize=(7,4))
ax = fig.add_subplot(1, 1, 1)
ppl.plot(ax, data[:,0], data[:,3], label="Unbunched", linewidth=2)
ppl.plot(ax, data[:,0], data[:,4], label="Bunched", linewidth=2)
# ax.set_xticks(printList)
# ax.set_xticklabels(humanName);
ax.set_xlabel("Number of Hits")
ax.set_ylabel("Performance / Mhits/s")
ax.axis('tight')
# ax.set_yscale('log')
# ax.set_xscale('log')
ax.grid(axis='y', color='0.3', linestyle=':', antialiased=True)

# position of ticks
ppl.legend(ax, loc=0)

# fig.savefig('chromeProcessesPerTime.png', dpi=200)
fig.savefig('bunchedvsunbunched_python.pdf', dpi=50, bbox_inches='tight')
# fig.savefig('chromeProcessesPerTime.svg', dpi=200)
plt.show()