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canvas.py
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canvas.py
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'''
城市画布
'''
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
from peoples import Peoples
from hospital import Hospital
from config import *
class Canvas(object):
def __init__(self, peoples):
self.peoples = peoples
self.hospital = peoples.hospital
# 创建画布
self.fig = plt.figure(figsize=(16, 8))
plt.style.use('dark_background') # 背景
self.fig.patch.set_facecolor('black') # 补丁颜色
# 指定字体
self.myfont = FontProperties(fname='SimHei.ttf')
# 创建网格布局
grid = plt.GridSpec(4, 6, wspace=0.5, hspace=0.3)
# 创建子图并按网格布局分布
self.subplots = [
plt.subplot(grid[0:4, 0:4]),
plt.subplot(grid[0:4, 4]),
plt.subplot(grid[0, 5]),
plt.subplot(grid[1, 5]),
plt.subplot(grid[2, 5]),
plt.subplot(grid[3, 5]),
]
# 初始化绘制折线图所需数据结构
self.init_line()
# plt.show()
def count_status(self):
'''
计算状态
:return:
'''
peoples_status = self.peoples.get_people_status()
hospital_status = self.hospital.get_bed_status()
uninfecated_num = np.sum(peoples_status == UNINFECTED_STATUS) # 未感染人数
letent_num = np.sum(peoples_status == LATENT_STATUS) # 潜伏期人数
confirmed_num = np.sum(peoples_status == CONFIRMED_STATUS) # 确诊人数
isolation_num = np.sum(peoples_status == ISOLATION_STATUS) # 隔离人数
immune_num = np.sum(peoples_status == IMMUNE_STATUS) # 免疫人数
death_num = np.sum(peoples_status == DEATH_STATUS) # 死亡人数
bed_num = np.sum(hospital_status == OCCUPY_STATUS) # 被占用床位
dangerous_people_num = confirmed_num + bed_num # 危险人数，有些确诊人可能没有床位
return peoples_status, hospital_status, uninfecated_num, \
letent_num, confirmed_num, isolation_num, \
immune_num, death_num, bed_num, dangerous_people_num
def draw_ax0(self,
ax0,
peoples_status,
time,
uninfecated_num,
letent_num,
confirmed_num,
isolation_num,
immune_num,
death_num,
dangerous_people_num
):
'''
绘制人口散点图，图中不同的颜色表示不同状态的人
:param ax0: 子图 ax0
:param peoples_status: 人的状态，根据状态绘制不同的颜色
:return:
'''
ax0.clear()
ax0.scatter(
self.peoples.get_x(),
self.peoples.get_y(),
c=[PEOPLE_COLORS[int(i)] for i in peoples_status],
marker='.', # 绘制 点
alpha=0.6,
s=10
)
title = f'''时间：{time}，未感染人数：{uninfecated_num}，潜伏期人数：{letent_num}，
确诊人数：{confirmed_num}， 隔离人数：{isolation_num}，免疫人数：{immune_num}，
死亡人数：{death_num}，高危人员数：{dangerous_people_num}，
'''
ax0.set_title(title, fontproperties=self.myfont)
# 重铺坐标
ax0.set_xticks([])
ax0.set_yticks([])
def draw_ax1(self, ax1, hospital_status, bed_num):
'''
绘制医院床位变化
:param ax1:
:param hospital_status: 医院床位状态
:return:
'''
ax1.clear()
ax1.scatter(
self.hospital.get_x(),
self.hospital.get_y(),
c=[BED_COLORS[int(i)] for i in hospital_status],
marker='.', # 绘制 点
s=10
)
title = f'''占用病床百分比：{bed_num/BED_NUM}'''
ax1.set_title(title, fontproperties=self.myfont)
ax1.set_xticks([])
ax1.set_yticks([])
def draw_line(self, ax, time, data, color, title):
'''
绘制线性图
:return:
'''
if time > 0:
ax.plot([time-1, time], data, color=color)
ax.set_title(title, fontproperties=self.myfont)
ax.set_xticks([])
ax.set_yticks([])
def init_line(self):
'''初始化绘制折现的数据'''
self.latent_data = [0, 0]
self.confirmed_data = [0, 0]
self.isolation_num_data = [0, 0]
self.immune_num_data = [0, 0]
self.death_data = [0, 0]
self.dangerous_data = [0, 0]
def draw_ax2(self, ax2, time, letent_num, confirmed_num):
self.latent_data[1] = letent_num
self.confirmed_data[1] = confirmed_num
title = '潜伏人数与确诊人数变化曲线'
self.draw_line(ax2, time, self.latent_data, PEOPLE_COLORS[1], title)
self.draw_line(ax2, time, self.confirmed_data, PEOPLE_COLORS[2], title)
ax2.set_title(title, fontproperties=self.myfont, fontsize=10)
self.latent_data[0] = letent_num
self.confirmed_data[0] = confirmed_num
def draw_ax3(self, ax3, time, isolation_num, immune_num):
'''隔离人数与免疫人数变化曲线'''
self.isolation_num_data[1] = isolation_num # 动图
self.immune_num_data[1] = immune_num
title = '隔离人数与免疫人数变化曲线'
self.draw_line(ax3, time, self.isolation_num_data, PEOPLE_COLORS[6], title)
self.draw_line(ax3, time, self.immune_num_data, PEOPLE_COLORS[4], title)
ax3.set_title(title, fontproperties=self.myfont, fontsize=10)
self.isolation_num_data[0] = isolation_num
self.immune_num_data[0] = immune_num
def draw_ax4(self, ax4, time, death_num):
self.death_data[1] = death_num
title = '死亡人数变化曲线'
self.draw_line(ax4, time, self.death_data, PEOPLE_COLORS[7], title)
ax4.set_title(title, fontproperties=self.myfont, fontsize=10)
self.death_data[0] = death_num
def draw_ax5(self, ax5, time, dangerous_people_num):
self.dangerous_data[1] = dangerous_people_num
title = '高危人数变化曲线'
self.draw_line(ax5, time, self.dangerous_data, PEOPLE_COLORS[7], title)
ax5.set_title(title, fontproperties=self.myfont, fontsize=10)
self.dangerous_data[0] = dangerous_people_num
def animate(self, time):
peoples_status, hospital_status, uninfecated_num, \
letent_num, confirmed_num, isolation_num, \
immune_num, death_num, bed_num, dangerous_people_num = self.count_status()
self.draw_ax0(self.subplots[0], peoples_status, time, uninfecated_num, letent_num,
confirmed_num, isolation_num, immune_num, death_num, dangerous_people_num)
self.draw_ax1(self.subplots[1], hospital_status, bed_num)
self.draw_ax2(self.subplots[2], time, letent_num, confirmed_num)
self.draw_ax3(self.subplots[3], time,isolation_num, immune_num)
self.draw_ax4(self.subplots[4], time, death_num)
self.draw_ax5(self.subplots[5], time, dangerous_people_num)
def run(self, time, rlock):
rlock.acquire() # 获得锁
self.animate(time)
rlock.release() # 释放锁
def test():
canvas = Canvas()
canvas.animate(1)
if __name__ == '__main__':
test()