Merge branch 'master' of gitfub.space:Pownie/BerGeo

This commit is contained in:
Alexander Munch-Hansen 2018-09-05 13:27:04 +02:00
commit 558cc3e4bf
4 changed files with 329 additions and 78 deletions

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# Created by https://www.gitignore.io/api/python,pycharm,pycharm+all,pycharm+iml
### PyCharm ###
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and Webstorm
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
# User-specific stuff:
.idea/**/workspace.xml
.idea/**/tasks.xml
.idea/dictionaries
# Sensitive or high-churn files:
.idea/**/dataSources/
.idea/**/dataSources.ids
.idea/**/dataSources.xml
.idea/**/dataSources.local.xml
.idea/**/sqlDataSources.xml
.idea/**/dynamic.xml
.idea/**/uiDesigner.xml
# Gradle:
.idea/**/gradle.xml
.idea/**/libraries
# CMake
cmake-build-debug/
# Mongo Explorer plugin:
.idea/**/mongoSettings.xml
## File-based project format:
*.iws
## Plugin-specific files:
# IntelliJ
/out/
# mpeltonen/sbt-idea plugin
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/.rakeTasks
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com_crashlytics_export_strings.xml
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crashlytics-build.properties
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### PyCharm Patch ###
# Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
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# *.ipr
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# User-specific stuff:
# Sensitive or high-churn files:
# Gradle:
# CMake
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## File-based project format:
## Plugin-specific files:
# IntelliJ
# mpeltonen/sbt-idea plugin
# JIRA plugin
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# Crashlytics plugin (for Android Studio and IntelliJ)
### PyCharm+all Patch ###
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.idea/
### PyCharm+iml ###
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and Webstorm
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# mpeltonen/sbt-idea plugin
# JIRA plugin
# Cursive Clojure plugin
# Ruby plugin and RubyMine
# Crashlytics plugin (for Android Studio and IntelliJ)
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*.ipr
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import subprocess
import tempfile
import re
import matplotlib.pyplot as plt
from collections import defaultdict
import argparse
from math import log2
import pandas as pd
parser = argparse.ArgumentParser(description='Read data from a data file and plot this.')
parser.add_argument('--data_file', action='store', dest='data_file', default='plot_data.txt',
help='The desired data to be plotted.')
parser.add_argument('--static_n', action='store_true',
help="Is the n variable static in the data file?")
parser.add_argument('--static_step', action='store_true',
help="Is the step variable static in the data file?")
args = parser.parse_args()
data = open(args.data_file).read()
# d = {'static variable' : {step : time, step : time}}
def prep_data(static_var, data):
non_static_var = (static_var + 1) % 2 # if 0 then 1, if 1 then 0
#non_static_var = 1 - static_var #rip :(
lines = data.split('\n')
static_vars = set()
data = defaultdict(dict)
for line in lines[0:-1]:
all_vars = re.findall(r"\d+", line)
static = int(all_vars[static_var])
non_static = int(all_vars[non_static_var])
time = int(all_vars[2])
static_vars.add(static)
data[static][non_static] = time
return data
static_var = 0 if args.static_n else 1
plot_data = prep_data(static_var, data)
df = pd.DataFrame(data=plot_data)
print(df)
plt.imshow(df, cmap='hot')
plt.show()
#first = plot_data[list(plot_data.keys())[2]]
#plt.plot(first[0], first[1])
#for static, plotting_data in plot_data.items():
# x_axis = [log2(x) for x in plotting_data[0]]
# plt.plot(x_axis, plotting_data[1], marker="o", label = static)
#plt.xticks([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26], ["$log2(2^2)$", "log2(2^4)", "log2(2^6)", "log2(2^8)", "log2(2^10)", "log2(2^12)", "log2(2^14)", "log2(2^16)", "log2(2^18)", "log2(2^20)", "log2(2^22)", "log2(2^24)", "log2(2^26)"])
#plt.legend(loc=1, borderaxespad=0.)
#plt.ylabel('time/ms')
#plt.xlabel('log(step)')
#plt.show()
import math
import subprocess
import tempfile
import re
import matplotlib.pyplot as plt
from collections import defaultdict
import argparse
from math import log2
import pandas as pd
import seaborn as sns
parser = argparse.ArgumentParser(description='Read data from a data file and plot this.')
parser.add_argument('--data_file', action='store', dest='data_file', default='plot_data.txt',
help='The desired data to be plotted.')
parser.add_argument('--static_n', action='store_true',
help="Is the n variable static in the data file?")
parser.add_argument('--static_step', action='store_true',
help="Is the step variable static in the data file?")
args = parser.parse_args()
data = open(args.data_file).read()
# d = {'static variable' : {step : time, step : time}}
def prep_data(static_var, data):
non_static_var = (static_var + 1) % 2 # if 0 then 1, if 1 then 0
#non_static_var = 1 - static_var #rip :(
lines = data.split('\n')
static_vars = set()
data = defaultdict(dict)
for line in lines[0:-1]:
all_vars = re.findall(r"\d+", line)
static = int(all_vars[static_var])
non_static = int(all_vars[non_static_var])
time = int(all_vars[2])
static_vars.add(static)
data[static][non_static] = time
return data
static_var = 0 if args.static_n else 1
plot_data = prep_data(static_var, data)
df = pd.DataFrame(data=plot_data)
print(df)
hm = sns.heatmap(df, annot=False, square=False, cmap=sns.cm.rocket_r)
hm.invert_yaxis()
# fix xtics
locs, labels = plt.xticks()
plt.xticks(locs, [f"$2^{{{int(math.log2(int(i.get_text())))}}}$" for i in labels])
locs, labels = plt.yticks()
plt.yticks(locs, [f"$2^{{{int(math.log2(int(i.get_text())))}}}$" for i in labels])
plt.show()
#first = plot_data[list(plot_data.keys())[2]]
#plt.plot(first[0], first[1])
#for static, plotting_data in plot_data.items():
# x_axis = [log2(x) for x in plotting_data[0]]
# plt.plot(x_axis, plotting_data[1], marker="o", label = static)
#plt.xticks([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26], ["$log2(2^2)$", "log2(2^4)", "log2(2^6)", "log2(2^8)", "log2(2^10)", "log2(2^12)", "log2(2^14)", "log2(2^16)", "log2(2^18)", "log2(2^20)", "log2(2^22)", "log2(2^24)", "log2(2^26)"])
#plt.legend(loc=1, borderaxespad=0.)
#plt.ylabel('time/ms')
#plt.xlabel('log(step)')
#plt.show()