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thesis_plotter_var.py
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thesis_plotter_var.py
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import pickle
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
def load_file_in_cache(file_name):
file_path = os.path.join('record', file_name)
with open(file_path, 'rb') as f:
obj = pickle.load(f)
return obj
markers = [
'o', 'p', 'v', 's', '*'
]
SCALE = 4.5
# SCALE = 2.5
FONT_SIZE = 20
LINE_STYLE = '-'
MARKER_SIZE = 10
TICK_SIZE = 16
from matplotlib import rcParams
def plot_var(args):
def define_style(rcParams):
rcParams['figure.figsize'] = SCALE*1.2, SCALE*1.2
rcParams['figure.subplot.wspace'] = 0.15
rcParams['figure.subplot.hspace'] = 0.25
rcParams['lines.markersize'] = MARKER_SIZE
rcParams['xtick.labelsize'] = TICK_SIZE
rcParams['ytick.labelsize'] = TICK_SIZE
rcParams['axes.labelsize'] = FONT_SIZE
rcParams['axes.titlesize'] = FONT_SIZE
rcParams['legend.fontsize'] = FONT_SIZE-4
rcParams['font.sans-serif'] = 'Microsoft YaHei'
rcParams['axes.grid'] = True
define_style(rcParams)
# plt.style.use('seaborn')
# plt.rc('axes', labelsize=20, titlesize=20)
# plt.rc('xtick', labelsize=15)
# plt.rc('ytick', labelsize=15)
# plt.rc('legend', fontsize=19)
# linestyles = ('-','--','-','--')
linestyles = ('-','--','-.')
# colors = ('royalblue', 'darkorange', 'darkgreen', 'darkmagenta')
# cmap = plt.cm.coolwarm
# colors = cmap(np.linspace(0, 1, len(args.lams)))
# colors = cmap([0, 0.3, 1])
colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
# fig = plt.figure(figsize=(7.,7.5))
fig = plt.figure()
vars_2 = [v**2 for v in args.vars]
for i in range(len(args.lams)):
asym_err_trim = []
asym_err_trim_att = []
asym_err_local = []
file_name = 'sbe' + '_' + args.network \
+ '_a' + str(args.attack) \
+ '_lam' + str(args.lams[i]) \
+ '_vars' + '.pkl'
for index_var, variation in enumerate(args.vars):
asbe = np.array(load_file_in_cache(file_name))
avg_asym_sbe = np.mean(asbe[:,-1,:], 0)
# the 1th method is trimmed mean
asym_err_trim.append(avg_asym_sbe[5*index_var+1])
# the 3th method is trimmed mean under attack
asym_err_trim_att.append(avg_asym_sbe[5*index_var+3])
# the 4th method is local
asym_err_local.append(avg_asym_sbe[5*index_var+4])
plt.plot(vars_2, asym_err_trim, linestyles[0], color=colors[i],
linewidth=2.25, label=f'trim: $\lambda={args.lams[i]}$')
plt.plot(vars_2, asym_err_trim_att, linestyles[1], color=colors[i],
linewidth=2.25, label=f'trim-att: $\lambda={args.lams[i]}$')
plt.plot(vars_2, asym_err_local, linestyles[2], color=colors[i],
linewidth=2.25, label=f'local: $\lambda={args.lams[i]}$')
plt.ylabel('渐进MSBE')
plt.xlabel('$\delta^2_{R0}$')
plt.ylim(top=0.08, bottom=0.025)
plt.xlim(right=1.5)
custom_lines = [
Line2D([0], [0], color=colors[0], linestyle=linestyles[0], lw=2.25),
Line2D([0], [0], color=colors[0], linestyle=linestyles[1], lw=2.25),
Line2D([0], [0], color=colors[0], linestyle=linestyles[2], lw=2.25)
] \
+ [Line2D([0], [0], color=colors[i], linestyle=linestyles[0], lw=8) for i in range(len(args.lams))]
custom_title = [
'截尾均值（无攻击）', '截尾均值（有攻击）', '无通信'
] + [f'$\lambda={lam}$' for lam in args.lams]
plt.legend(custom_lines, custom_title, ncol=1,
loc='lower left', bbox_to_anchor=(1.02, 0.1),)
# fig.tight_layout()
pic_name = 'var_'+args.network+'_a'+str(args.attack)
file_dir = os.path.dirname(os.path.abspath(__file__))
dir_png_path = os.path.join(file_dir, 'thesis-figure', 'png')
dir_pdf_path = os.path.join(file_dir, 'thesis-figure', 'pdf')
if not os.path.isdir(dir_pdf_path):
os.makedirs(dir_pdf_path)
if not os.path.isdir(dir_png_path):
os.makedirs(dir_png_path)
pic_png_path = os.path.join(dir_png_path, pic_name + '.png')
pic_png_path = os.path.join(dir_png_path, pic_name + '.png')
pic_pdf_path = os.path.join(dir_pdf_path, pic_name + '.pdf')
plt.savefig(pic_png_path, format='png', bbox_inches='tight')
plt.savefig(pic_pdf_path, format='pdf', bbox_inches='tight')
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='Plotter for robust TD')
parser.add_argument('--network', type=str, default='complete',
help='name of the network (h1b1, h3b1, b3b2, renyi, complete)')
parser.add_argument('--attack', type=int, default=2,
help='Type of attack')
parser.add_argument('--lams', type=float, nargs='+',
help='lambda list', default=[0.0,0.3,0.6,0.9])
parser.add_argument('--vars', type=float, nargs='+',
help='lambda list', default=[0.0,0.5,1.0,1.5])
parser.add_argument('--lnk', action='store_true',
help='whether to divide aggregate ce by ln(epoch) or epoch')
args = parser.parse_args()
plot_var(args)