diff --git a/python_visual.py b/python_visual.py index 2da89c6..25e90c0 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("plot title", fontproperties=myfont) + plt.title("可视化标题", fontproperties=myfont) plt.grid(True) # 设置X轴 @@ -62,31 +62,31 @@ def simple_advanced_plot(): # 生成画布, 并设定标题 plt.figure(figsize=(8, 6), dpi=80) - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) plt.grid(True) # 画图的另外一种方式 ax_1 = plt.subplot(111) - ax_1.plot(x, y_cos, color="blue", linewidth=2.0, linestyle="--", label="cos in left") - ax_1.legend(loc="upper left", shadow=True) + ax_1.plot(x, y_cos, color="blue", linewidth=2.0, linestyle="--", label="左cos") + ax_1.legend(loc="upper left", prop=myfont, shadow=True) # 设置Y轴(左边) - ax_1.set_ylabel("y label for cos in left") + ax_1.set_ylabel("左cos的y轴", fontproperties=myfont) ax_1.set_ylim(-1.0, 1.0) ax_1.set_yticks(np.linspace(-1, 1, 9, endpoint=True)) # 画图的另外一种方式 ax_2 = ax_1.twinx() - ax_2.plot(x, y_sin, color="green", linewidth=2.0, linestyle="-", label="sin in right") - ax_2.legend(loc="upper right", shadow=True) + ax_2.plot(x, y_sin, color="green", linewidth=2.0, linestyle="-", label="右sin") + ax_2.legend(loc="upper right", prop=myfont, shadow=True) # 设置Y轴(右边) - ax_2.set_ylabel("y label for sin in right") + ax_2.set_ylabel("右sin的y轴", fontproperties=myfont) ax_2.set_ylim(-2.0, 2.0) ax_2.set_yticks(np.linspace(-2, 2, 9, endpoint=True)) # 设置X轴(共同) - ax_1.set_xlabel("x label") + ax_1.set_xlabel("x轴", fontproperties=myfont) ax_1.set_xlim(-4.0, 4.0) ax_1.set_xticks(np.linspace(-4, 4, 9, endpoint=True)) @@ -111,11 +111,10 @@ def subplot_plot(): # 子图的生成方式 plt.subplot(2, 2, num+1) - plt.title("subplot %d" % (num+1)) + plt.title("子图 %d" % (num+1), fontproperties=myfont) plt.plot(x, y, style_list[num]) # 图形显示 - plt.grid(True) plt.show() return # subplot_plot() @@ -130,16 +129,16 @@ def bar_plot(): means_women = (25, 32, 34, 20, 25) # 设置标题 - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 设置相关参数 index = np.arange(len(means_men)) bar_width = 0.35 # 画柱状图 - plt.bar(index, means_men, width=bar_width, alpha=0.2, color="b", label="Men") - plt.bar(index+bar_width, means_women, width=bar_width, alpha=0.8, color="r", label="Women") - plt.legend(loc="upper right", shadow=True) + plt.bar(index, means_men, width=bar_width, alpha=0.2, color="b", label="男生") + plt.bar(index+bar_width, means_women, width=bar_width, alpha=0.8, color="r", label="女生") + plt.legend(loc="upper right", prop=myfont, shadow=True) # 设置柱状图标示 for x, y in zip(index, means_men): @@ -149,9 +148,9 @@ def bar_plot(): # 设置刻度范围/坐标轴名称等 plt.ylim(0, 45) - plt.xlabel("Group") - plt.ylabel("Scores") - plt.xticks(index+(bar_width/2), ("A", "B", "C", "D", "E")) + plt.xlabel("分组Group", fontproperties=myfont) + plt.ylabel("得分Scores", fontproperties=myfont) + plt.xticks(index+(bar_width/2), ("A组", "B组", "C组", "D组", "E组"), fontproperties=myfont) # 图形显示 plt.show() @@ -248,7 +247,7 @@ def table_plot(): ]) # 设置标题 - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 设置相关参数 index = np.arange(len(data[0])) @@ -259,11 +258,11 @@ def table_plot(): # 依次画图,并更新底部位置 for i in range(len(data)): - plt.bar(index, data[i], width=0.5, color=color_index[i], bottom=bottom, alpha=0.7, label="label %d" % i) + plt.bar(index, data[i], width=0.5, color=color_index[i], bottom=bottom, alpha=0.7, label="标签 %d" % i) bottom += data[i] # 设置图例位置 - plt.legend(loc="upper left", shadow=True) + plt.legend(loc="upper left", prop=myfont, shadow=True) # 图形显示 plt.show() @@ -280,17 +279,17 @@ def histograms_plot(): x = mu + sigma * np.random.randn(10000) # 设置标题 - plt.title("plot title") + plt.title("可视化标题", 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="hist") + n, bins, patches = plt.hist(x, bins=50, normed=1, cumulative=False, color="green", alpha=0.6, label="直方图") # 根据直方图返回的结果, 画折线图 y = mlab.normpdf(bins, mu, sigma) - plt.plot(bins, y, "r--", label="line") + plt.plot(bins, y, "r--", label="线条") # 设置图例位置 - plt.legend(loc="upper left", shadow=True) + plt.legend(loc="upper left", prop=myfont, shadow=True) # 图形显示 plt.show() @@ -304,17 +303,19 @@ def pie_plot(): """ # 生成测试数据 sizes = [15, 30, 45, 10] - labels = ["Frogs", "Hogs", "Dogs", "Logs"] + labels = ["Frogs", "中文", "Dogs", "Logs"] colors = ["yellowgreen", "gold", "lightskyblue", "lightcoral"] # 设置标题 - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 设置突出参数 explode = [0, 0.05, 0, 0] # 画饼状图 - plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct="%1.1f%%", shadow=True, startangle=90) + patches, l_text, p_text = plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct="%1.1f%%", shadow=True, startangle=90) + for text in l_text: + text.set_fontproperties(myfont) plt.axis("equal") # 图形显示 @@ -333,7 +334,7 @@ def scatter_plot(): y_index = np.random.random(point_count) # 设置标题 - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 设置相关参数 color_list = np.random.random(point_count) @@ -357,7 +358,7 @@ def fill_plot(): y = np.sin(x) # 设置标题 - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 画图 plt.plot(x, y, color="blue", alpha=1.00) @@ -377,7 +378,7 @@ def radar_plot(): radar plot """ # 生成测试数据 - labels = np.array(["A", "B", "C", "D", "E", "F"]) + labels = np.array(["A组", "B组", "C组", "D组", "E组", "F组"]) data = np.array([68, 83, 90, 77, 89, 73]) theta = np.linspace(0, 2*np.pi, len(data), endpoint=False) @@ -387,10 +388,10 @@ def radar_plot(): # 画图方式 plt.subplot(111, polar=True) - plt.title("plot title") + plt.title("可视化标题", fontproperties=myfont) # 设置"theta grid"/"radar grid" - plt.thetagrids(theta*(180/np.pi), labels=labels) + plt.thetagrids(theta*(180/np.pi), labels=labels, fontproperties=myfont) plt.rgrids(np.arange(20, 100, 20), labels=np.arange(20, 100, 20), angle=0) plt.ylim(0, 100)