add python_visual_animation.py

Author: xianhu

python_visual.py

@@ -26,7 +26,7 @@ def simple_plot():
 
  # 生成画布，并设定标题
  plt.figure(figsize=(8, 6), dpi=80)
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("简单曲线图", fontproperties=myfont)
  plt.grid(True)
 
  # 设置X轴
@@ -40,8 +40,8 @@ def simple_plot():
  plt.yticks(np.linspace(-1, 1, 9, endpoint=True))
 
  # 画两条曲线
- plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos事例")
- plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin事例")
+ plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos示例")
+ plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin示例")
 
  # 设置图例位置,loc可以为[upper, lower, left, right, center]
  plt.legend(loc="upper left", prop=myfont, shadow=True)
@@ -62,7 +62,7 @@ def simple_advanced_plot():
 
  # 生成画布, 并设定标题
  plt.figure(figsize=(8, 6), dpi=80)
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("复杂曲线图", fontproperties=myfont)
  plt.grid(True)
 
  # 画图的另外一种方式
@@ -129,7 +129,7 @@ def bar_plot():
  means_women = (25, 32, 34, 20, 25)
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("柱状图", fontproperties=myfont)
 
  # 设置相关参数
  index = np.arange(len(means_men))
@@ -167,7 +167,7 @@ def barh_plot():
  means_women = (25, 32, 34, 20, 25)
 
  # 设置标题
- plt.title("plot title")
+ plt.title("横向柱状图", fontproperties=myfont)
 
  # 设置相关参数
  index = np.arange(len(means_men))
@@ -205,7 +205,7 @@ def bar_advanced_plot():
  means_women = np.array((25, 32, 34, 20, 25, 20, 35, 30, 35, 27))
 
  # 设置标题
- plt.title("plot title")
+ plt.title("高级柱状图", fontproperties=myfont)
 
  # 设置相关参数
  index = np.arange(len(means_men))
@@ -247,7 +247,7 @@ def table_plot():
  ])
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("层次柱状图", fontproperties=myfont)
 
  # 设置相关参数
  index = np.arange(len(data[0]))
@@ -279,7 +279,7 @@ def histograms_plot():
  x = mu + sigma * np.random.randn(10000)
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("直方图", fontproperties=myfont)
 
  # 画直方图, 并返回相关结果
  n, bins, patches = plt.hist(x, bins=50, normed=1, cumulative=False, color="green", alpha=0.6, label="直方图")
@@ -307,7 +307,7 @@ def pie_plot():
  colors = ["yellowgreen", "gold", "lightskyblue", "lightcoral"]
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("饼图", fontproperties=myfont)
 
  # 设置突出参数
  explode = [0, 0.05, 0, 0]
@@ -334,7 +334,7 @@ def scatter_plot():
  y_index = np.random.random(point_count)
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("散点图", fontproperties=myfont)
 
  # 设置相关参数
  color_list = np.random.random(point_count)
@@ -358,7 +358,7 @@ def fill_plot():
  y = np.sin(x)
 
  # 设置标题
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("填充图", fontproperties=myfont)
 
  # 画图
  plt.plot(x, y, color="blue", alpha=1.00)
@@ -388,7 +388,7 @@ def radar_plot():
 
  # 画图方式
  plt.subplot(111, polar=True)
- plt.title("可视化标题", fontproperties=myfont)
+ plt.title("雷达图", fontproperties=myfont)
 
  # 设置"theta grid"/"radar grid"
  plt.thetagrids(theta*(180/np.pi), labels=labels, fontproperties=myfont)
@@ -418,8 +418,10 @@ def three_dimension_scatter():
 
  # 生成画布(两种形式)
  fig = plt.figure()
- # ax = fig.gca(projection="3d", title="plot title")
- ax = fig.add_subplot(111, projection="3d", title="plot title")
+ fig.suptitle("三维散点图", fontproperties=myfont)
+
+ # ax = fig.gca(projection="3d")
+ ax = fig.add_subplot(111, projection="3d")
 
  # 画三维散点图
  ax.scatter(x, y, z, s=scale, c=color, marker=".")

python_visual_animation.py

@@ -0,0 +1,161 @@
+# _*_ coding: utf-8 _*_
+
+"""
+python_visual_animation.py by xianhu
+"""
+
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+import matplotlib.font_manager as fm
+from mpl_toolkits.mplot3d import Axes3D
+
+# 解决中文乱码问题
+myfont = fm.FontProperties(fname="/Library/Fonts/Songti.ttc", size=14)
+matplotlib.rcParams["axes.unicode_minus"] = False
+
+
+def simple_plot():
+ """
+ simple plot
+ """
+ # 生成画布
+ plt.figure(figsize=(8, 6), dpi=80)
+
+ # 打开交互模式
+ plt.ion()
+
+ # 循环
+ for index in range(100):
+ # 清除原有图像
+ plt.cla()
+
+ # 设定标题等
+ plt.title("动态曲线图", fontproperties=myfont)
+ plt.grid(True)
+
+ # 生成测试数据
+ x = np.linspace(-np.pi + 0.1*index, np.pi+0.1*index, 256, endpoint=True)
+ y_cos, y_sin = np.cos(x), np.sin(x)
+
+ # 设置X轴
+ plt.xlabel("X轴", fontproperties=myfont)
+ plt.xlim(-4 + 0.1*index, 4 + 0.1*index)
+ plt.xticks(np.linspace(-4 + 0.1*index, 4+0.1*index, 9, endpoint=True))
+
+ # 设置Y轴
+ plt.ylabel("Y轴", fontproperties=myfont)
+ plt.ylim(-1.0, 1.0)
+ plt.yticks(np.linspace(-1, 1, 9, endpoint=True))
+
+ # 画两条曲线
+ plt.plot(x, y_cos, "b--", linewidth=2.0, label="cos示例")
+ plt.plot(x, y_sin, "g-", linewidth=2.0, label="sin示例")
+
+ # 设置图例位置,loc可以为[upper, lower, left, right, center]
+ plt.legend(loc="upper left", prop=myfont, shadow=True)
+
+ # 暂停
+ plt.pause(0.1)
+
+ # 关闭交互模式
+ plt.ioff()
+
+ # 图形显示
+ plt.show()
+ return
+# simple_plot()
+
+
+def scatter_plot():
+ """
+ scatter plot
+ """
+ # 打开交互模式
+ plt.ion()
+
+ # 循环
+ for index in range(50):
+ # 清除原有图像
+ # plt.cla()
+
+ # 设定标题等
+ plt.title("动态散点图", fontproperties=myfont)
+ plt.grid(True)
+
+ # 生成测试数据
+ point_count = 5
+ x_index = np.random.random(point_count)
+ y_index = np.random.random(point_count)
+
+ # 设置相关参数
+ color_list = np.random.random(point_count)
+ scale_list = np.random.random(point_count) * 100
+
+ # 画散点图
+ plt.scatter(x_index, y_index, s=scale_list, c=color_list, marker="o")
+
+ # 暂停
+ plt.pause(0.2)
+
+ # 关闭交互模式
+ plt.ioff()
+
+ # 显示图形
+ plt.show()
+ return
+# scatter_plot()
+
+
+def three_dimension_scatter():
+ """
+ 3d scatter plot
+ """
+ # 生成画布
+ fig = plt.figure()
+
+ # 打开交互模式
+ plt.ion()
+
+ # 循环
+ for index in range(50):
+ # 清除原有图像
+ fig.clf()
+
+ # 设定标题等
+ fig.suptitle("三维动态散点图", fontproperties=myfont)
+
+ # 生成测试数据
+ point_count = 100
+ x = np.random.random(point_count)
+ y = np.random.random(point_count)
+ z = np.random.random(point_count)
+ color = np.random.random(point_count)
+ scale = np.random.random(point_count) * 100
+
+ # 生成画布
+ ax = fig.add_subplot(111, projection="3d")
+
+ # 画三维散点图
+ ax.scatter(x, y, z, s=scale, c=color, marker=".")
+
+ # 设置坐标轴图标
+ ax.set_xlabel("X Label")
+ ax.set_ylabel("Y Label")
+ ax.set_zlabel("Z Label")
+
+ # 设置坐标轴范围
+ ax.set_xlim(0, 1)
+ ax.set_ylim(0, 1)
+ ax.set_zlim(0, 1)
+
+ # 暂停
+ plt.pause(0.2)
+
+ # 关闭交互模式
+ plt.ioff()
+
+ # 图形显示
+ plt.show()
+ return
+# three_dimension_scatter()