add python_visual_animation.py
xianhu
parent
53753da3ee
commit
480411f2d2
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@ -26,7 +26,7 @@ def simple_plot():
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# 生成画布，并设定标题
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plt.figure(figsize=(8, 6), dpi=80)
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("简单曲线图", fontproperties=myfont)
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plt.grid(True)
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# 设置X轴
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@ -40,8 +40,8 @@ def simple_plot():
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plt.yticks(np.linspace(-1, 1, 9, endpoint=True))
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# 画两条曲线
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plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos事例")
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plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin事例")
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plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos示例")
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plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin示例")
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# 设置图例位置,loc可以为[upper, lower, left, right, center]
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plt.legend(loc="upper left", prop=myfont, shadow=True)
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@ -62,7 +62,7 @@ def simple_advanced_plot():
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# 生成画布, 并设定标题
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plt.figure(figsize=(8, 6), dpi=80)
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("复杂曲线图", fontproperties=myfont)
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plt.grid(True)
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# 画图的另外一种方式
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@ -129,7 +129,7 @@ def bar_plot():
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means_women = (25, 32, 34, 20, 25)
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("柱状图", fontproperties=myfont)
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# 设置相关参数
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index = np.arange(len(means_men))
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@ -167,7 +167,7 @@ def barh_plot():
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means_women = (25, 32, 34, 20, 25)
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# 设置标题
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plt.title("plot title")
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plt.title("横向柱状图", fontproperties=myfont)
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# 设置相关参数
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index = np.arange(len(means_men))
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@ -205,7 +205,7 @@ def bar_advanced_plot():
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means_women = np.array((25, 32, 34, 20, 25, 20, 35, 30, 35, 27))
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# 设置标题
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plt.title("plot title")
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plt.title("高级柱状图", fontproperties=myfont)
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# 设置相关参数
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index = np.arange(len(means_men))
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@ -247,7 +247,7 @@ def table_plot():
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])
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("层次柱状图", fontproperties=myfont)
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# 设置相关参数
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index = np.arange(len(data[0]))
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@ -279,7 +279,7 @@ def histograms_plot():
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x = mu + sigma * np.random.randn(10000)
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("直方图", fontproperties=myfont)
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# 画直方图, 并返回相关结果
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n, bins, patches = plt.hist(x, bins=50, normed=1, cumulative=False, color="green", alpha=0.6, label="直方图")
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@ -307,7 +307,7 @@ def pie_plot():
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colors = ["yellowgreen", "gold", "lightskyblue", "lightcoral"]
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("饼图", fontproperties=myfont)
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# 设置突出参数
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explode = [0, 0.05, 0, 0]
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@ -334,7 +334,7 @@ def scatter_plot():
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y_index = np.random.random(point_count)
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("散点图", fontproperties=myfont)
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# 设置相关参数
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color_list = np.random.random(point_count)
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@ -358,7 +358,7 @@ def fill_plot():
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y = np.sin(x)
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# 设置标题
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("填充图", fontproperties=myfont)
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# 画图
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plt.plot(x, y, color="blue", alpha=1.00)
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@ -388,7 +388,7 @@ def radar_plot():
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# 画图方式
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plt.subplot(111, polar=True)
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plt.title("可视化标题", fontproperties=myfont)
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plt.title("雷达图", fontproperties=myfont)
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# 设置"theta grid"/"radar grid"
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plt.thetagrids(theta*(180/np.pi), labels=labels, fontproperties=myfont)
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@ -418,8 +418,10 @@ def three_dimension_scatter():
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# 生成画布(两种形式)
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fig = plt.figure()
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# ax = fig.gca(projection="3d", title="plot title")
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ax = fig.add_subplot(111, projection="3d", title="plot title")
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fig.suptitle("三维散点图", fontproperties=myfont)
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# ax = fig.gca(projection="3d")
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ax = fig.add_subplot(111, projection="3d")
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# 画三维散点图
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ax.scatter(x, y, z, s=scale, c=color, marker=".")
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@ -0,0 +1,161 @@
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# _*_ coding: utf-8 _*_
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"""
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python_visual_animation.py by xianhu
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"""
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import numpy as np
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import matplotlib
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import matplotlib.pyplot as plt
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import matplotlib.font_manager as fm
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from mpl_toolkits.mplot3d import Axes3D
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# 解决中文乱码问题
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myfont = fm.FontProperties(fname="/Library/Fonts/Songti.ttc", size=14)
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matplotlib.rcParams["axes.unicode_minus"] = False
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def simple_plot():
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"""
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simple plot
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"""
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# 生成画布
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plt.figure(figsize=(8, 6), dpi=80)
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# 打开交互模式
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plt.ion()
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# 循环
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for index in range(100):
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# 清除原有图像
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plt.cla()
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# 设定标题等
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plt.title("动态曲线图", fontproperties=myfont)
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plt.grid(True)
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# 生成测试数据
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x = np.linspace(-np.pi + 0.1*index, np.pi+0.1*index, 256, endpoint=True)
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y_cos, y_sin = np.cos(x), np.sin(x)
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# 设置X轴
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plt.xlabel("X轴", fontproperties=myfont)
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plt.xlim(-4 + 0.1*index, 4 + 0.1*index)
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plt.xticks(np.linspace(-4 + 0.1*index, 4+0.1*index, 9, endpoint=True))
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# 设置Y轴
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plt.ylabel("Y轴", fontproperties=myfont)
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plt.ylim(-1.0, 1.0)
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plt.yticks(np.linspace(-1, 1, 9, endpoint=True))
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# 画两条曲线
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plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos示例")
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plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin示例")
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# 设置图例位置,loc可以为[upper, lower, left, right, center]
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plt.legend(loc="upper left", prop=myfont, shadow=True)
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# 暂停
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plt.pause(0.1)
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# 关闭交互模式
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plt.ioff()
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# 图形显示
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plt.show()
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return
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# simple_plot()
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def scatter_plot():
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"""
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scatter plot
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"""
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# 打开交互模式
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plt.ion()
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# 循环
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for index in range(50):
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# 清除原有图像
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# plt.cla()
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# 设定标题等
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plt.title("动态散点图", fontproperties=myfont)
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plt.grid(True)
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# 生成测试数据
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point_count = 5
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x_index = np.random.random(point_count)
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y_index = np.random.random(point_count)
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# 设置相关参数
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color_list = np.random.random(point_count)
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scale_list = np.random.random(point_count) * 100
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# 画散点图
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plt.scatter(x_index, y_index, s=scale_list, c=color_list, marker="o")
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# 暂停
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plt.pause(0.2)
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# 关闭交互模式
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plt.ioff()
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# 显示图形
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plt.show()
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return
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# scatter_plot()
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def three_dimension_scatter():
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"""
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3d scatter plot
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"""
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# 生成画布
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fig = plt.figure()
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# 打开交互模式
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plt.ion()
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# 循环
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for index in range(50):
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# 清除原有图像
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fig.clf()
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# 设定标题等
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fig.suptitle("三维动态散点图", fontproperties=myfont)
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# 生成测试数据
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point_count = 100
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x = np.random.random(point_count)
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y = np.random.random(point_count)
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z = np.random.random(point_count)
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color = np.random.random(point_count)
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scale = np.random.random(point_count) * 100
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# 生成画布
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ax = fig.add_subplot(111, projection="3d")
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# 画三维散点图
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ax.scatter(x, y, z, s=scale, c=color, marker=".")
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# 设置坐标轴图标
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ax.set_xlabel("X Label")
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ax.set_ylabel("Y Label")
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ax.set_zlabel("Z Label")
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# 设置坐标轴范围
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ax.set_xlim(0, 1)
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ax.set_ylim(0, 1)
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ax.set_zlim(0, 1)
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# 暂停
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plt.pause(0.2)
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# 关闭交互模式
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plt.ioff()
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# 图形显示
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plt.show()
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return
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# three_dimension_scatter()
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