def read_single_map(abs_path):
m = np.loadtxt(open(abs_path, "rb"), delimiter=",")
x = [[i for i in range(0, len(m))] for j in range(0, len(m))]
y = [[j for i in range(0, len(m))] for j in range(0, len(m))]
# 3d plot
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax.plot_surface(x,y,m, cmap="gist_earth")
#plt.show()
figure, ax = setup(len(m))
show(figure, ax, m)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function
import numpy as np
from plotting import setup, savefig, SQUARE_FIGSIZE
setup()
np.random.seed(42)
def log_prior(m, b, lns):
if not -10.0 < lns < 5.0:
return -np.inf
return -1.5 * np.log(1 + b**2)
def log_likelihood(x, y, y_err, m, b, lns):
mod = m * x + b
var = np.sqrt(y_err**2 + np.exp(2 * lns))
return -0.5 * np.sum((y - mod)**2 / var + np.log(var))
def log_posterior(theta, x, y, y_err):
return log_prior(*theta) + log_likelihood(x, y, y_err, *theta)
if __name__ == "__main__":
import emcee
import matplotlib.pyplot as plt
import argparse
import os
import sys
import numpy as np
import pandas as pd
sys.path.append("..")
import plotting
plotting.setup()
linestyles = [
"solid", "dashed", (0, (3, 1, 1, 1)), "-.", (0, (1, 1)),
(0, (3, 10, 1, 10))
]
parser = argparse.ArgumentParser(
description='Plot average latency vs. steps for different approaches')
parser.add_argument('--folder',
default="./data_Load_change_QL_UCB_Softmax",
type=str,
help='Specify folder of measurements')
parser.add_argument('--save',
default=".",
type=str,
help='Specify save directory')
args = parser.parse_args()
folderpath = args.folder
import matplotlib.pyplot as plt
from matplotlib import rcParams
import argparse
import os
import numpy as np
import pandas as pd
import sys
sys.path.append("..")
import plotting
plotting.setup(span=True)
linestyles = [
"solid", "dashed", (0, (3, 1, 1, 1)), "-.", (0, (1, 1)),
(0, (3, 10, 1, 10))
]
bar_colors = [
"lightgreen", "salmon", "lightblue", "lightgray", "m", "gold", "darkgrey",
"darkorchid", "cornflowerblue", "turquoise"
]
hatch_patterns = ('---', '\\\\', '+++', 'xxx', 'o', '*', 'O', '.', "ooo", "+")
prop_cycle = plt.rcParams['axes.prop_cycle']
colors = prop_cycle.by_key()['color']
parser = argparse.ArgumentParser(description='Plot average latency vs. load')
parser.add_argument('--folder',
default="./data_different_exploration_strategies",
type=str,
