traffic_simulation/plotter.py at master · temetski/traffic_simulation · GitHub

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#! /usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 22 00:18:38 2013

@author: Damian
"""
from __future__ import division
import numpy as np
import matplotlib
# from load_params import ROADLENGTH, TRIALS, REAL_LANES, \
#                         VIRTUAL_LANES, SLOWDOWN, LANE_CHANGE_PROB
matplotlib.use("Agg")
matplotlib.rcParams.update({'font.size': 15})
matplotlib.rcParams.update({'axes.labelsize': 17,'legend.fontsize': 15})
import matplotlib.pyplot as plt
#plt.rc('font',family='serif')
plt.rc('font',serif='Helvetica')
import glob
import re
import os
from subprocess import call
import h5py


#REAL_LANES = 4
#ROADLENGTH = 100
#TRIALS = 50

#AREA = 1 * (REAL_LANES) * ROADLENGTH
POS = 0
LANE = 1
SPEED = 2
SIZE = 3
LAST = -1


def plot(ydata):
    i=0
    color = "%s" % (i*0.18)
    median = np.median(ydata, axis=1)
    errminus = median - np.percentile(ydata,25, axis=1)
    errplus = np.percentile(ydata,75, axis=1) - median
    ax.errorbar(densities, median, [errminus, errplus], markeredgecolor='black',  color=color, markersize=6,markeredgewidth=0.2,
                linewidth=2, elinewidth=1, #label=r"$\kappa = %.2f$" % label,
                marker=marks[i%2],dashes=())
    ax.legend()

if __name__ == "__main__":
    ls = [(), (13,3)]
    marks = ['o', 's']
    densities = []
    data_throughput = []
    data_velocity_car = []
    for i in np.load("data.npy"):
        densities.append(i["density"])
        data_throughput.append(i["throughput"])
        data_velocity_car.append(i["velocity"])
    data_throughput = np.array(data_throughput)
    data_velocity_car = np.array(data_velocity_car)
    fig = plt.figure()
    ax = fig.add_subplot(111)
    plot(data_throughput)
    fig.savefig("test.pdf")
    # __plot_ratios__ = [0, 0.25, 0.5, 0.75, 1]
    # FILES = glob.glob("CarRatio*")
    # DIRNAME = os.path.split(os.getcwd())[1]
    # DENSITIES = np.arange(0.01, 1, 0.01)
    # _density_ = np.arange(0.05, 1,0.05)
    # RATIOS = np.array(__plot_ratios__)
    # all_data = np.load("data.npz")
    # THROUGHPUT = all_data["THROUGHPUT"]
    # THROUGHPUT_CAR = all_data["THROUGHPUT_CAR"]
    # THROUGHPUT_NORM = all_data["THROUGHPUT_NORM"]
    # VELOCITIES = all_data["VELOCITIES"]

    # MEDIANS = np.median(THROUGHPUT, axis=2) # Median for trials in car ratios
    # fig = plt.figure(1)
    # ax = fig.add_subplot(111)
    # bbox_props = dict(boxstyle="round", fc="w", ec="0.5", alpha=0.9)
    # for ydata, label, i in zip(THROUGHPUT, RATIOS, range(len(RATIOS))):
    #     plot()
    # ax.text(0.02, 0.97, r"$p_{\lambda} = %.2f$" %
    #         (LANE_CHANGE_PROB),  ha="left", va="top",
    #         size=20, bbox=bbox_props, transform=ax.transAxes)
    # if VIRTUAL_LANES:
    #     ylim = 2800
    # else:
    #     ylim = 2400
    # ax.set_xlabel(r'Vehicle density ($\rho$)')
    # ax.set_ylabel('Throughput ($Q$)')
    # ax.set_ylim(0, ylim)
    # ax.set_xlim(0, 1)
    # ax.set_xticks(_density_[1::2])
    # plt.grid()
    # fig.savefig('../images/throughput_%s.pdf' % DIRNAME, bbox_inches='tight', dpi=300)
    # ax.cla()

    # fig2 = plt.figure(2)
    # ax2 = fig2.add_subplot(111)
    # for ydata, median, label, i in zip(VELOCITIES, MEDIANS, RATIOS, range(len(RATIOS))):
    #     color = "%s" % (i*0.15)
    #     ax2.plot(DENSITIES, np.median(ydata, axis=1),
    #              color=color, linewidth=3,
    #              label=r"$\gamma = %.2f$" % label)
    #     bp = ax2.boxplot(ydata, positions=DENSITIES, widths=0.02)
    #     plt.setp(bp['boxes'], color=color)
    #     plt.setp(bp['whiskers'], color=color)
    #     plt.setp(bp['fliers'], color=color)
    #     plt.setp(bp['medians'], color=color)
    #     plt.legend()
    # ax2.set_xlabel('road density')
    # ax2.set_ylabel('median average velocity')
    # ax2.set_xlim(0, 1)
    # ax2.set_xticks(DENSITIES[1::2])
    # plt.grid()
    # fig2.savefig('velocities_%s.png' % DIRNAME, bbox_inches='tight', dpi=300)
    # ax2.cla()