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update python_visual, support Chinese

master
xianhu 2017-05-09 10:53:07 +08:00
parent 84eec7bc32
commit e37980bd4a
1 changed files with 34 additions and 33 deletions
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python_visual.py
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@ -26,7 +26,7 @@ def simple_plot():
# 生成画布，并设定标题 # 生成画布，并设定标题
plt.figure(figsize=(8, 6), dpi=80) 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) plt.grid(True)
# 设置X轴 # 设置X轴
@ -62,31 +62,31 @@ def simple_advanced_plot():
# 生成画布, 并设定标题 # 生成画布, 并设定标题
plt.figure(figsize=(8, 6), dpi=80) plt.figure(figsize=(8, 6), dpi=80)
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
plt.grid(True) plt.grid(True)
# 画图的另外一种方式 # 画图的另外一种方式
ax_1 = plt.subplot(111) ax_1 = plt.subplot(111)
ax_1.plot(x, y_cos, color="blue", linewidth=2.0, linestyle="--", label="cos in left") ax_1.plot(x, y_cos, color="blue", linewidth=2.0, linestyle="--", label="左cos")
ax_1.legend(loc="upper left", shadow=True) ax_1.legend(loc="upper left", prop=myfont, shadow=True)
# 设置Y轴(左边) # 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_ylim(-1.0, 1.0)
ax_1.set_yticks(np.linspace(-1, 1, 9, endpoint=True)) ax_1.set_yticks(np.linspace(-1, 1, 9, endpoint=True))
# 画图的另外一种方式 # 画图的另外一种方式
ax_2 = ax_1.twinx() ax_2 = ax_1.twinx()
ax_2.plot(x, y_sin, color="green", linewidth=2.0, linestyle="-", label="sin in right") ax_2.plot(x, y_sin, color="green", linewidth=2.0, linestyle="-", label="右sin")
ax_2.legend(loc="upper right", shadow=True) ax_2.legend(loc="upper right", prop=myfont, shadow=True)
# 设置Y轴(右边) # 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_ylim(-2.0, 2.0)
ax_2.set_yticks(np.linspace(-2, 2, 9, endpoint=True)) ax_2.set_yticks(np.linspace(-2, 2, 9, endpoint=True))
# 设置X轴(共同) # 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_xlim(-4.0, 4.0)
ax_1.set_xticks(np.linspace(-4, 4, 9, endpoint=True)) 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 # 子图的生成方式
plt.subplot(2, 2, num+1) 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]) plt.plot(x, y, style_list[num])
# 图形显示 # 图形显示
plt.grid(True)
plt.show() plt.show()
return return
# subplot_plot() # subplot_plot()
@ -130,16 +129,16 @@ def bar_plot():
means_women = (25, 32, 34, 20, 25) means_women = (25, 32, 34, 20, 25)
# 设置标题 # 设置标题
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 设置相关参数 # 设置相关参数
index = np.arange(len(means_men)) index = np.arange(len(means_men))
bar_width = 0.35 bar_width = 0.35
# 画柱状图 # 画柱状图
plt.bar(index, means_men, width=bar_width, alpha=0.2, color="b", label="Men") 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="Women") plt.bar(index+bar_width, means_women, width=bar_width, alpha=0.8, color="r", label="女生")
plt.legend(loc="upper right", shadow=True) plt.legend(loc="upper right", prop=myfont, shadow=True)
# 设置柱状图标示 # 设置柱状图标示
for x, y in zip(index, means_men): 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 # 设置刻度范围/坐标轴名称等
plt.ylim(0, 45) plt.ylim(0, 45)
plt.xlabel("Group") plt.xlabel("分组Group", fontproperties=myfont)
plt.ylabel("Scores") plt.ylabel("得分Scores", fontproperties=myfont)
plt.xticks(index+(bar_width/2), ("A", "B", "C", "D", "E")) plt.xticks(index+(bar_width/2), ("A组", "B组", "C组", "D组", "E组"), fontproperties=myfont)
# 图形显示 # 图形显示
plt.show() plt.show()
@ -248,7 +247,7 @@ def table_plot():
]) ])
# 设置标题 # 设置标题
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 设置相关参数 # 设置相关参数
index = np.arange(len(data[0])) index = np.arange(len(data[0]))
@ -259,11 +258,11 @@ def table_plot():
# 依次画图,并更新底部位置 # 依次画图,并更新底部位置
for i in range(len(data)): 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] bottom += data[i]
# 设置图例位置 # 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 # 图形显示
plt.show() plt.show()
@ -280,17 +279,17 @@ def histograms_plot():
x = mu + sigma * np.random.randn(10000) x = mu + sigma * np.random.randn(10000)
# 设置标题 # 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 # 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 # 根据直方图返回的结果, 画折线图
y = mlab.normpdf(bins, mu, sigma) 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 # 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 # 图形显示
plt.show() plt.show()
@ -304,17 +303,19 @@ def pie_plot():
""" """
# 生成测试数据 # 生成测试数据
sizes = [15, 30, 45, 10] sizes = [15, 30, 45, 10]
labels = ["Frogs", "Hogs", "Dogs", "Logs"] labels = ["Frogs", "中文", "Dogs", "Logs"]
colors = ["yellowgreen", "gold", "lightskyblue", "lightcoral"] colors = ["yellowgreen", "gold", "lightskyblue", "lightcoral"]
# 设置标题 # 设置标题
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 设置突出参数 # 设置突出参数
explode = [0, 0.05, 0, 0] explode = [0, 0.05, 0, 0]
# 画饼状图 # 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") plt.axis("equal")
# 图形显示 # 图形显示
@ -333,7 +334,7 @@ def scatter_plot():
y_index = np.random.random(point_count) y_index = np.random.random(point_count)
# 设置标题 # 设置标题
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 设置相关参数 # 设置相关参数
color_list = np.random.random(point_count) color_list = np.random.random(point_count)
@ -357,7 +358,7 @@ def fill_plot():
y = np.sin(x) y = np.sin(x)
# 设置标题 # 设置标题
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 画图 # 画图
plt.plot(x, y, color="blue", alpha=1.00) plt.plot(x, y, color="blue", alpha=1.00)
@ -377,7 +378,7 @@ def radar_plot():
radar plot radar plot
""" """
# 生成测试数据 # 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]) data = np.array([68, 83, 90, 77, 89, 73])
theta = np.linspace(0, 2*np.pi, len(data), endpoint=False) theta = np.linspace(0, 2*np.pi, len(data), endpoint=False)
@ -387,10 +388,10 @@ def radar_plot():
# 画图方式 # 画图方式
plt.subplot(111, polar=True) plt.subplot(111, polar=True)
plt.title("plot title") plt.title("可视化标题", fontproperties=myfont)
# 设置"theta grid"/"radar grid" # 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.rgrids(np.arange(20, 100, 20), labels=np.arange(20, 100, 20), angle=0)
plt.ylim(0, 100) plt.ylim(0, 100)