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jp_mpl.py
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jp_mpl.py
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from pylab import xlim, errorbar, fill_between, array, append, plot, scatter, pcolor, show, figure, xlabel, ylabel, inf, sqrt, repeat, legend, xscale, yscale
import matplotlib.pyplot as plt
from numpy import cumsum, insert, zeros, sum
import numpy as np
import matplotlib
fig_xsize = 8
fig_ysize = 6
#matplotlib.rc('font', weight = 'bold')
matplotlib.rc('xtick', labelsize=14)#, labelweight = 'bold')
matplotlib.rc('ytick', labelsize=14)
#matplotlib.rc('title', labelsize=14)
matplotlib.rc('axes', labelsize = 14)
matplotlib.rc('ytick.minor', size=10)
matplotlib.rc('xtick.major', size=10)
matplotlib.rc("axes", linewidth=1.0, grid=True, facecolor='white')#, labelweight = 'bold')
matplotlib.rc("figure", facecolor='white', titlesize=14)
matplotlib.rc("lines", markeredgewidth=2.0, linewidth = 2)
#matplotlib.rc('figure', autolayout = True)
matplotlib.rc("grid", color='#888888', linewidth = 0.3)
from itertools import cycle
line_styles = ["-","--","-.",":"]
def apcolor(x= np.array([]), y=np.array([]), data=None, **kwargs):
if x.size == 0:
x = np.arange(0, data.shape[0]+1)
if y.size == 0:
y = np.arange(0, data.shape[1]+1)
xpos = (x[1:] + x[:-1])/2.
ypos = (y[1:] + y[:-1])/2.
labels = []
ax = plt.pcolor(x, y, data, **kwargs)
for yi in range(data.shape[0]):
for xi in range(data.shape[1]):
labels.append(plt.text(xpos[xi], ypos[yi], '%.2f' % data[yi, xi],
horizontalalignment='center',
verticalalignment='center',
))
plt.xlim([x.min(), x.max()])
plt.ylim([y.min(), y.max()])
return ax, xpos, ypos
def errorMark(xaxis, bin_content,
error = [],
rel_error = [],
color = 'blue',
lw = 1.,
label = None):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
xerror = (xaxis[1:] - xaxis[:-1])/2
error_xaxis = (xaxis[:-1]+xaxis[1:])/2
if len(error)==0:
if len(rel_error)==0:
yerr=sqrt(bin_content)
else:
yerr = rel_error*bin_content
else:
yerr = error
return errorbar(error_xaxis, bin_content, yerr=yerr, xerr = xerror, ls = 'none', ecolor = color, elinewidth = lw, capsize = 0, label = label)
def errorMarkVert(xaxis, bin_content,
yerror = None,
color = 'blue',
lw = 2.5,
label = None):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
xerror = (xaxis[1:] - xaxis[:-1])/2
error_xaxis = (xaxis[:-1]+xaxis[1:])/2
if yerror == None:
yerr=sqrt(bin_content)
else:
yerr = yerror
return errorbar(error_xaxis, bin_content, yerr=yerr, ls = 'none', ecolor = color, elinewidth = lw, capsize = lw*2, label = label)
def errorMarkHor(xaxis, bin_content,
lw = 2.5,
color = 'blue',
**kwargs):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
xerror = (xaxis[1:] - xaxis[:-1])/2
error_xaxis = (xaxis[:-1]+xaxis[1:])/2
return errorbar(error_xaxis, bin_content, yerr=0, xerr = xerror, ls = 'none', elinewidth = lw, ecolor = color, capsize = 0, **kwargs)
def simpleMark(xaxis, bin_content,
**kwargs):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
new_xaxis = (xaxis[:-1]+xaxis[1:])/2
return plot(new_xaxis, bin_content, linestyle = 'None', **kwargs)
def weightedError(xaxis, bin_content,
bin_w2,
color = 'blue',
lw = 2.5,
label = None):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
xerror = (xaxis[1:] - xaxis[:-1])/2
error_xaxis = (xaxis[:-1]+xaxis[1:])/2
bin_error = sqrt(bin_w2)
return errorbar(error_xaxis, bin_content, yerr=bin_error, xerr = None, ls = 'none', ecolor = color, elinewidth = lw, capsize = None, label = label)
def weightedError2(xaxis, bin_content,
bin_error,
color = 'blue',
lw = 2.5,
label = None):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
xerror = (xaxis[1:] - xaxis[:-1])/2
error_xaxis = (xaxis[:-1]+xaxis[1:])/2
return errorbar(error_xaxis, bin_content, yerr=bin_error, xerr = xerror, ls = 'none', ecolor = color, elinewidth = lw, capsize = 0, label = label)
def errorArea(xaxis, bin_up, bin_down,
fillcolor = 'blue',
hatch = None,
hatchcolor = 'green',
**kwargs):
if hatch == None:
hatchcolor = 'none'
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
fill_xaxis = repeat(xaxis,2)[1:-1]
fill_bins_up = repeat(bin_up,2)
fill_bins_down = repeat(bin_down, 2)
return fill_between(fill_xaxis , fill_bins_up, fill_bins_down, facecolor=fillcolor, edgecolor = hatchcolor, hatch = hatch,**kwargs)
def errorHatch(xaxis, bin_up, bin_down,
hatch = '/',
fillcolor = 'blue',
**kwargs):
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
fill_xaxis = repeat(xaxis,2)[1:-1]
fill_bins_up = repeat(bin_up,2)
fill_bins_down = repeat(bin_down, 2)
return fill_between(fill_xaxis , fill_bins_up, fill_bins_down, edgecolor = hatchcolor, hatch = hatch, rasterized = True, **kwargs)
def unfilledBar(xaxis, bin_content,
errors = None,
rel_errors = None,
count_errors = False,
color = 'blue',
**kwargs):
'''
Produce a histogram bar plot a-la-ROOT. Returns plot axes.
'''
original_xaxis = xaxis
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
new_bins = array(append(bin_content[0], bin_content))
xlim([xaxis[0], xaxis[-1]])
if rel_errors != None:
errors = bin_content*rel_errors
elif count_errors:
errors = sqrt(bin_content)
if errors != None:
error_xaxis = array(xaxis)
error_xaxis = error_xaxis[:-1] + (error_xaxis[1:] - error_xaxis[:-1])/2.
errorbar(error_xaxis, bin_content, yerr = errors, color = color, fmt='.')
return plot(xaxis , new_bins, drawstyle = 'steps', color = color, **kwargs)
def stackedBarPlot(xaxis, hist_list,
colors = ['C0','C1','C2','C3','C4','C5'],
linewidth = 1,
fill = True,
outer_line = True,
hatch = [None]*6,
zorder = -9,
data_axis = 0,
relative = False,
**kwargs):
bin_array = array(hist_list)
cumsum_axis = 0
# Do the cumulative sum of the data
bins_cumsum = insert(cumsum(bin_array, axis = cumsum_axis), 0, zeros(len(xaxis)-1), cumsum_axis)
if relative:
bins_cumsum /= bins_cumsum[-1, :]
# Fix the xaxis
original_xaxis = xaxis
if xaxis[-1] == inf:
xbin = xaxis[-2] - xaxis[-3]
xaxis[-1] = xaxis[-2] + xbin
xlim([xaxis[0], xaxis[-1]])
fill_xaxis = repeat(xaxis,2)[1:-1]
areas = []
lines = []
rectangles = []
print('Cumsum results ', sum(bins_cumsum, axis = 1))
nhistograms = bins_cumsum.shape[cumsum_axis]
for index in range(1, bins_cumsum.shape[cumsum_axis]):
if outer_line:
lines.append(unfilledBar(original_xaxis, bins_cumsum[index, :], color = colors[index-1], linewidth = linewidth))
lwbox = 1
else:
lwbox = 0
#lines.append(unfilledBar(original_xaxis, bins_cumsum[:, index], color = colors[index-1], label = labels[index-1]))
if hatch[index-1]:
facecolor = 'white'
else:
facecolor = colors[index-1]
if fill:
areas.append( fill_between(repeat(xaxis,2)[1:-1], repeat(bins_cumsum[index,:],2), repeat(bins_cumsum[index-1,:],2),
zorder = zorder-nhistograms+index, linewidth = 0,
facecolor=facecolor, edgecolor = colors[index-1], hatch = hatch[index-1], **kwargs ))
rectangles.append(matplotlib.patches.Rectangle((0,0), 1, 1, fc = facecolor, linewidth=2, zorder = zorder-1,
edgecolor = colors[index-1], hatch = hatch[index-1]))
return lines, areas, rectangles
# Use legend(rectangles, labels)
# def sampleContribution(xaxis, hist_list,
# colors = ['r', 'b', 'g', 'm', 'c', 'y'],
# linewidth = 1,
# fill = True,
# outer_line = True,
# hatch = [None]*6,
# zorder = -9,
# data_axis = 0,
# **kwargs):
# bin_array = array(hist_list)
# cumsum_axis = 0
# # Do the cumulative sum of the data
# bins_cumsum = insert(cumsum(bin_array, axis = cumsum_axis), 0, zeros(len(xaxis)-1), cumsum_axis)
# bins_cumsum /=
# # Fix the xaxis
# original_xaxis = xaxis
# if xaxis[-1] == inf:
# xbin = xaxis[-2] - xaxis[-3]
# xaxis[-1] = xaxis[-2] + xbin
# xlim([xaxis[0], xaxis[-1]])
# fill_xaxis = repeat(xaxis,2)[1:-1]
# areas = []
# lines = []
# rectangles = []
# print 'Cumsum results ', sum(bins_cumsum, axis = 1)
# nhistograms = bins_cumsum.shape[cumsum_axis]
# for index in range(1, bins_cumsum.shape[cumsum_axis]):
# if outer_line:
# lines.append(unfilledBar(original_xaxis, bins_cumsum[index, :], color = colors[index-1], linewidth = linewidth))
# lwbox = 1
# else:
# lwbox = 0
# #lines.append(unfilledBar(original_xaxis, bins_cumsum[:, index], color = colors[index-1], label = labels[index-1]))
# if hatch[index-1]:
# facecolor = 'white'
# else:
# facecolor = colors[index-1]
# if fill:
# areas.append( fill_between(repeat(xaxis,2)[1:-1], repeat(bins_cumsum[index,:],2), repeat(bins_cumsum[index-1,:],2),
# zorder = zorder-nhistograms+index, linewidth = lwbox,
# facecolor=facecolor, edgecolor = colors[index-1], hatch = hatch[index-1], **kwargs ))
# rectangles.append(matplotlib.patches.Rectangle((0,0), 1, 1, fc = facecolor, linewidth=lwbox, zorder = zorder-1,
# edgecolor = colors[index-1], hatch = hatch[index-1]))
# return lines, areas, rectangles