import matplotlib.pyplot as pltfrom matplotlib.animation import FuncAnimationfrom collections import deque# 坐标系 fig, ax = plt.subplots()等价于fig, ax = plt.subplots(11)。"""fig = plt.figure()matpltlib.pyplot.figure(num = None, # 设
import matplotlib.pyplot as pltfrom matplotlib.animation import FuncAnimationfrom collections import deque# 坐标系 fig, ax = plt.subplots()等价于fig, ax = plt.subplots(11)。"""fig = plt.figure()matpltlib.pyplot.figure(num = None, # 设定figure名称。系统默认按数字升序命名的figure_num（透视表输出窗口）e.g. “figure1”。可自行设定figure名称，名称或是INT，或是str类型；figsize=None, # 设定figure尺寸。系统默认命令是rcParams["figure.fig.size"] = [6.4, 4.8]，即figure长宽为6.4 * 4.8；dpi=None, # 设定figure像素密度。系统默命令是rcParams["sigure.dpi"] = 100；facecolor=None, # 设定figure背景色。系统默认命令是rcParams["figure.facecolor"] = ‘w‘，即白色white；edgecolor=None, frameon=True, # 设定要不要绘制轮廓&轮廓颜色。系统默认绘制轮廓，轮廓染色rcParams["figure.edgecolor"]=‘w‘,即白色white；FigureClass=<class ‘matplotlib.figure.Figure‘>, # 设定使不使用一个figure模板。系统默认不使用；clear=False, # 设定当同名figure存在时，是否替换它。系统默认False，即不替换。**kwargs)subplot(1,2,1)plot(x, y, ‘r--‘)subplot(1,2,2)plot(y, x, ‘g*-‘)"""# fig, ax = plt.subplots() 等价于下面的两句# fig = plt.figure()# ax = fig.add_subplot(1, 1, 1)# 其中参数1和2分别代表子图的行数和列数，一共有 1x1 个子图像,参数没有的时候默认一个。fig, ax = plt.subplots(1,1) # 数据源f = open("C:/Users/祥偉/Desktop/USDJPY240.csv", "r")xdate = []ydate = []global xx = 0global dd = 0global prevprev = 0scale = 1.0queue = deque([(0, 0)])for line in f: #print(line) values = line.split(",") price = float(values[5].strip()) if prev == 0: queue.append((x, price)) prev = price elif d == 0 and price > prev: queue.append((x, price)) prev = price elif d == 0 and price <= prev: if (prev - price) >= scale: d = 1 x = x + 1 queue.append((x, prev)) queue.append((x, price)) prev = price elif d == 1 and price < prev: queue.append((x, price)) prev = price elif d == 1 and price >= prev: if (price - prev) >= scale: d = 0 x = x + 1 queue.append((x, prev)) queue.append((x, price)) prev = pricedef init(): ax.set_xlim(0, 100) ax.set_ylim(60, 100) return ax.plot([], [], "r-", animated=False)def update(frame): print(frame) xdate.append(frame[0]) ydate.append(frame[1]) return ax.plot(xdate, ydate, "r-", animated=False)ani = FuncAnimation(fig, update, frames=queue, init_func=init, blit=True, repeat=False)plt.show()