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parallel_bar.py
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parallel_bar.py
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# coding=utf-8
import ast
import itertools
import json
import os
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import numpy as np
# 用于比较S个solution在E个environment上的性能差别. 不同的性能指标放在不同的图上, 不同的解决方案在各个环境下的同一指标值放在同一张图上
from matplotlib.ticker import FormatStrFormatter
data = {
'type': "bar",
'figWidth': 600,
'figHeight': 350,
'mainColors': ['#0072bc',
'#d95218',
'#edb021',
'#7a8cbf',
'#009d70',
'#979797',
'#53b2ea'],
'solutionList': ('VERID', 'AAR', 'IntegriDB'),
'environmentList': ("Intel", "Rome"),
'yLog': False,
'yGrid': False,
'paddingLeft': 0.2,
'paddingRight': 0.2,
'marginGroups': 0.4,
'marginInner': 0.02,
'xFontSize': 20,
'xTickRotate': False,
'yFontSize': 20,
'legendFontSize': 8,
'output': False,
'children': [
{
'name': "insertion",
'xTitle': '',
'yTitle': 'Insertion time (ms)',
'components': ("Acyclic add", "Cyclic add"),
'yLimit': [0, 1.4],
'y': (
(0.011, 0.203), # 同一个solution, 不同的environment
(0.428, 0.220), # 另一个solution
(0.161, 0.513)
),
'yRange': (
([0.009, 0.02], [0.1, 0.25]), # 误差
([0.428, 0.428], [0.220, 0.220]),
([0.161, 0.161], [0.513, 0.513])
),
'y2': ( # 第二个分量
(0.011, 0.203),
(0, 0.220),
(0.161, 0.513)
),
'yRange2': (
([0.009, 0.02], [0.1, 0.25]),
([0.428, 0.428], [0.220, 0.220]),
([0.161, 0.161], [0.513, 0.513])
),
},
{
'name': "ads",
'yLog': True,
'xTitle': '',
'yTitle': 'ADS update (KB)',
'yLimit': [0.01, 190.0],
'y': (
(0.147, 2.140),
(1.268, 5.4367),
(5.365, 5.123),
),
'yRange': (
([0.015, 0.147], [0.1, 2.140]),
([0.268, 10.268], [5.4367, 5.4367]),
([4.365, 6.365], [5.123, 5.123])
),
}
]
}
if not os.path.exists('dist'):
os.makedirs('dist')
def nonEmptyIterable(obj):
"""return true if *obj* is iterable"""
try:
var = obj[0]
return True
except:
return False
dpi = 100
class ParallelBars:
def draw(self, data, figure=None, axis=None):
if isinstance(data, str):
try:
data = json.loads(data)
except:
data = ast.literal_eval(data)
axes = []
for plotData in data['children']:
name = plotData['name']
print("---->" + name + "<----\n")
def get(key, default=None):
result = plotData.get(key, None)
if result is not None: return result
result = data.get(key, None)
if result is not None: return result
return default
envList = get('environmentList')
solList = get('solutionList')
lenSol = len(solList)
components = get('components', ())
lenComp = max(1, len(components))
envIndex = np.arange(len(envList)) # the x locations for the groups
groupWidth = 1 - get('marginGroups', 0.2)
paddingLeft = get('paddingLeft', 0.1)
paddingRight = get('paddingRight', 0.1)
marginBars = get('marginBars', 0.02)
width = groupWidth / lenSol - marginBars # the width of the bars
colors = get('mainColors',
['#0072bc', '#d95218', '#edb021', '#7a8cbf', '#009d70', '#979797', '#53b2ea',
"#ee4c9c"] + ['C%d' % (i % 10) for i in range(100)])
if figure and axis:
fig, ax = figure, axis
else:
fig, ax = plt.subplots()
fig.set_size_inches(get('figWidth', 600) / dpi, get('figHeight', 350) / dpi)
fig.set_dpi(dpi)
rects = [None] * (lenComp * lenSol)
oldy = np.array([[0.0, ] * len(envList), ] * lenSol)
for comIdx in range(lenComp):
yRange = get('yRange' if comIdx == 0 else 'y%dRange' % (comIdx + 1), get('yRange%d' % (comIdx + 1), None))
y = plotData['y' if comIdx == 0 else 'y%d' % (comIdx + 1)]
if nonEmptyIterable(yRange):
yError = np.zeros((lenSol, 2, len(y[0])))
for r in range(lenSol):
for c in range(len(y[r])):
yError[r][0][c] = y[r][c] - yRange[r][c][0] # lower
yError[r][1][c] = yRange[r][c][1] - y[r][c] # upper
else:
yerror = get('yError' if comIdx == 0 else 'yError%d' % (comIdx + 1), None)
if yerror:
yError = np.zeros((lenSol, 2, len(y[0])))
for r in range(lenSol):
for c in range(len(y[r])):
yError[r][0][c] = yerror[r][c][1] # lower
yError[r][1][c] = yerror[r][c][0] # upper
else:
yError = None
highContrast = get("highContrast", False)
for solIdx in range(lenSol):
normalIdx = (lenComp - 1 - comIdx) * lenSol + solIdx
transpos = normalIdx // lenSol + normalIdx % lenSol * lenComp
rects[transpos] = ax.bar(
envIndex - groupWidth / 2 + (width + marginBars) * (solIdx + 0.5),
y[solIdx], width - marginBars,
bottom=oldy[solIdx],
color='none' if highContrast else colors[comIdx * lenSol + solIdx],
edgecolor=colors[comIdx * lenSol + solIdx] if highContrast else "black",
hatch=['/', '\\', '-', '+', 'x', '.', 'o', 'O', '*', '//', '\\\\'][
comIdx * lenSol + solIdx] if highContrast else None,
ecolor='r', yerr=yError[solIdx] if yError is not None else None)
oldy += y
ax.set_xlim([0 - groupWidth / 2 - paddingLeft, len(envList) - 1 + groupWidth / 2 + paddingRight])
if len(components):
if lenSol == 1:
legendTitles = components
else:
legendTitles = [None] * (
lenComp * lenSol) # list((com + ' - ' + sol for sol, com in itertools.product(solList, components, )))
for comIdx in range(lenComp):
for solIdx in range(lenSol):
normalIdx = (lenComp - 1 - comIdx) * lenSol + solIdx
transpos = normalIdx // lenSol + normalIdx % lenSol * lenComp
legendTitles[transpos] = components[comIdx] + ' - ' + solList[solIdx]
# print(components[comIdx] + ' - ' + solList[solIdx], (lenComp - 1 - comIdx, solIdx), normalIdx, transpos)
else:
legendTitles = solList
if get("showLegend", True):
font = FontProperties(weight='regular', size=get('legendFontSize', 20))
if get("legendLoc", None) is None and get("legendOutside", True):
ax.legend(rects, legendTitles, prop=font, bbox_to_anchor=(0, 1.02, 1, 0.2 * lenComp),
loc="lower left", mode="expand", borderaxespad=0, ncol=lenSol, handlelength=1)
else:
ax.legend(rects, legendTitles, frameon=False, loc=get('legendLoc', 'best'), prop=font,
ncol=get('legendColumn', 1), handlelength=1)
font = FontProperties(weight='regular', size=get('xFontSize', 20))
ax.set_xlabel(get('xTitle', ""), fontproperties=font)
ticks = get('yTicks&Labels', None)
if get('ySci'):
ax.ticklabel_format(style='sci', axis='y', scilimits=get('ySci'))
else:
ax.ticklabel_format(style='plain', axis='y')
if ticks:
if len(ticks) == 2 and nonEmptyIterable(ticks[0]) and nonEmptyIterable(ticks[1]):
ax.set_yticks(ticks[0])
ax.set_yticklabels(ticks[1])
else:
ax.set_yticks(ticks)
ax.get_yaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
ax.get_yaxis().set_minor_formatter(matplotlib.ticker.NullFormatter())
ticks = get('xTicks&Labels', None)
if ticks:
ax.tick_params(which='minor', length=0)
if len(ticks) == 2 and nonEmptyIterable(ticks[0]) and nonEmptyIterable(ticks[1]):
ax.set_xticks(ticks[0])
ax.set_xticklabels(ticks[1])
else:
ax.set_xticks(ticks)
ax.set_xticklabels([str(i) for i in ticks])
else:
ax.set_xticks(envIndex)
ax.set_xticklabels(envList)
font = FontProperties('sans-serif', weight='regular', size=get('xFontSize', 20) - 4)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontproperties(font)
if get('xTickRotate', False):
tick.label.set_rotation(45)
font = FontProperties(weight='regular', size=get('yFontSize', 20))
ax.set_ylabel(get('yTitle', ""), fontproperties=font)
font = FontProperties('sans-serif', weight='regular', size=get('yFontSize', 20) - 4)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontproperties(font)
if get('xLog', False):
ax.set_xscale('log')
if get('yLog', False):
ax.set_yscale('log')
if get('yGrid', False):
ax.yaxis.grid(True)
lim = get('yLimit', [])
if len(lim) > 0:
realLimit = lim.copy()
for i in range(2):
if callable(lim[i]):
realLimit[i] = lim[i](ax.get_ylim()[i])
ax.set_ylim(realLimit)
lim = get('xLimit', [])
if len(lim) > 0:
ax.set_xlim(lim)
subAxes = []
for subfigure in get('subfigures', []):
from .plot import Ploter
subAxes.append(Ploter().plot(subfigure, fig, ax))
# TODO add subfigures
try:
fig.tight_layout()
except:
pass
if get('output', False):
fig.savefig('dist/' + name + '.pdf', format='pdf', dpi=dpi, bbox_inches="tight")
plt.show(block=False)
# plt.close('all')
axes.append(ax)
return axes
if __name__ == '__main__':
ParallelBars().draw(data)
while True:
plt.pause(0.5)