From 480411f2d2ded27e114119453d2b6de12dbb1a08 Mon Sep 17 00:00:00 2001 From: xianhu Date: Thu, 23 Nov 2017 10:59:37 +0800 Subject: [PATCH] add python_visual_animation.py --- python_visual.py | 32 ++++---- python_visual_animation.py | 161 +++++++++++++++++++++++++++++++++++++ 2 files changed, 178 insertions(+), 15 deletions(-) create mode 100644 python_visual_animation.py diff --git a/python_visual.py b/python_visual.py index 25e90c0..32661a4 100644 --- a/python_visual.py +++ b/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=".") diff --git a/python_visual_animation.py b/python_visual_animation.py new file mode 100644 index 0000000..2156ffb --- /dev/null +++ b/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()