Python开发之matplotlib的简单使用(二)


前言:主要介绍matplotlib开发的散点图和条形图。


1.开发注意

如果第一次接触matplotlib,请先移步《Python开发之matplotlib的简单使用(一)》,里面介绍了环境配置、开发流程以及折线图的开发。

2.散点图案例

from matplotlib import pyplot as plt
from matplotlib import font_manager

my_font = font_manager.FontProperties(fname=r"c:\windows\fonts\simsun.ttc")

x_3 = range(1,32)
x_10 = range(51,82)

y_3 = [11,17,16,11,12,11,12,6,6,7,8,9,12,15,14,17,18,21,16,17,20,14,15,15,15,19,21,22,22,22,23]
y_10 = [26,26,28,19,21,17,16,19,18,20,20,19,22,23,17,20,21,20,22,15,11,15,5,13,17,10,11,13,12,13,6]

#设置图形大小
plt.figure(figsize=(20,8),dpi=80)

#使用scatter方法绘制散点图,和之前绘制折线图的唯一区别
plt.scatter(x_3,y_3,label = "3月份")
plt.scatter(x_10,y_10,label = "10月份")

#调整x轴的刻度
_x = list(x_3) + list(x_10)
_xticks_labels = ["3月{}日".format(i) for i in x_3]
_xticks_labels += ["10月{}日".format(i-50) for i in x_10]
plt.xticks(_x[::2],_xticks_labels[::2],fontproperties = my_font, rotation = 45)

plt.yticks(range(1,30,2))

#绘制网格
plt.grid(alpha=0.5)

#添加图例
plt.legend(loc = "upper right", prop = my_font)

#添加描述信息
plt.xlabel("时间",fontproperties = my_font)
plt.ylabel("速度",fontproperties = my_font)
plt.title("温度变化图",fontproperties = my_font)

#保存
plt.savefig("./t1.png")

#展示
plt.show()

输出:
在这里插入图片描述

3.条形图案例一

代码:

from matplotlib import pyplot as plt
from matplotlib import font_manager

my_font = font_manager.FontProperties(fname=r"c:\windows\fonts\simsun.ttc")

a = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5:最后的骑士","摔跤吧!爸爸","加勒比海盗5:死无对证","金刚:骷髅岛","极限特工:终极回归","生化危机6:终章","乘风破浪","神偷奶爸3","智取威虎山","大闹天竺","金刚狼3:殊死一战","蜘蛛侠:英雄归来","悟空传","银河护卫队2","情圣","新木乃伊",]

b=[56.01,26.94,17.53,16.49,15.45,12.96,11.8,11.61,11.28,11.12,10.49,10.3,8.75,7.55,7.32,6.99,6.88,6.86,6.58,6.23]

#设置图形大小
plt.figure(figsize=(20, 15),dpi=80)
#绘制条形图
plt.bar(range(len(a)),b,width=0.3)
#设置字符串到x轴
plt.xticks(range(len(a)), a, fontproperties = my_font, rotation = 90)
plt.yticks(range(1,60,2))

#绘制网格
plt.grid(alpha=0.5)

plt.savefig("./t2.png")

plt.show()

输出:
在这里插入图片描述

4.条形图案例二

代码:

from matplotlib import pyplot as plt
from matplotlib import font_manager

my_font = font_manager.FontProperties(fname=r"c:\windows\fonts\simsun.ttc")

a = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5:最后的骑士","摔跤吧!爸爸","加勒比海盗5:死无对证","金刚:骷髅岛","极限特工:终极回归","生化危机6:终章","乘风破浪","神偷奶爸3","智取威虎山","大闹天竺","金刚狼3:殊死一战","蜘蛛侠:英雄归来","悟空传","银河护卫队2","情圣","新木乃伊",]

b=[56.01,26.94,17.53,16.49,15.45,12.96,11.8,11.61,11.28,11.12,10.49,10.3,8.75,7.55,7.32,6.99,6.88,6.86,6.58,6.23]

#设置图形大小
plt.figure(figsize=(20, 15),dpi=80)

#绘制条形图
plt.barh(range(len(a)),b,height=0.3,color="orange")

#设置字符串到y轴
plt.yticks(range(len(a)), a, fontproperties = my_font)
plt.xticks(range(1,60,2))
#绘制网格
plt.grid(alpha=0.5)

plt.savefig("./t2_1.png")

plt.show()

输出:
在这里插入图片描述

5.条形图案例三

代码:

from matplotlib import pyplot as plt
from matplotlib import font_manager
my_font = font_manager.FontProperties(fname=r"c:\windows\fonts\simsun.ttc")

a = ["猩球崛起3","敦刻尔克","蜘蛛侠","战狼2","电影001"]

b_14 = [2358,399,2358,362,300]
b_15 = [12357,156,2045,168,600]
b_16 = [15746,312,4497,319,500]

bar_width = 0.2
x_14 = list(range(len(a)))
x_15 = [i+bar_width for i in x_14]
x_16 = [i+bar_width*2 for i in x_14]

#设置图形大小
plt.figure(figsize=(20, 8), dpi=80)

plt.bar(x_14,b_14,width=bar_width,label="9月14")
plt.bar(x_15,b_15,width=bar_width,label="9月15")
plt.bar(x_16,b_16,width=bar_width,label="9月16")

#设置图例
plt.legend(prop=my_font)

#设置x轴的刻度
plt.xticks(x_15, a, fontproperties=my_font)

#绘制网格
plt.grid(alpha=0.5)

plt.savefig("./t3.png")

plt.show()

输出:
在这里插入图片描述

6.条形图案例四

代码:

from matplotlib import pyplot as plt

a=[131,  98, 125, 131, 124, 139, 131, 117, 128, 108, 135, 138, 131, 102, 107, 114, 119, 128, 121, 142, 127, 130, 124, 101, 110, 116, 117, 110, 128, 128, 115,  99, 136, 126, 134,  95, 138, 117, 111,78, 132, 124, 113, 150, 110, 117,  86,  95, 144, 105, 126, 130,126, 130, 126, 116, 123, 106, 112, 138, 123,  86, 101,  99, 136,123, 117, 119, 105, 137, 123, 128, 125, 104, 109, 134, 125, 127,105, 120, 107, 129, 116, 108, 132, 103, 136, 118, 102, 120, 114,105, 115, 132, 145, 119, 121, 112, 139, 125, 138, 109, 132, 134,156, 106, 117, 127, 144, 139, 139, 119, 140,  83, 110, 102,123,107, 143, 115, 136, 118, 139, 123, 112, 118, 125, 109, 119, 133,112, 114, 122, 109, 106, 123, 116, 131, 127, 115, 118, 112, 135,115, 146, 137, 116, 103, 144,  83, 123, 111, 110, 111, 100, 154,136, 100, 118, 119, 133, 134, 106, 129, 126, 110, 111, 109, 141,120, 117, 106, 149, 122, 122, 110, 118, 127, 121, 114, 125, 126,114, 140, 103, 130, 141, 117, 106, 114, 121, 114, 133, 137,  92,121, 112, 146,  97, 137, 105,  98, 117, 112,  81,  97, 139, 113,134, 106, 144, 110, 137, 137, 111, 104, 117, 100, 111, 101, 110,105, 129, 137, 112, 120, 113, 133, 112,  83,  94, 146, 133, 101,131, 116, 111,  84, 137, 115, 122, 106, 144, 109, 123, 116, 111,111, 133, 150]

#计算组数
d = 3  #组距
num_bins = (max(a)-min(a))//d

#设置图形的大小
plt.figure(figsize=(20,8),dpi=80)
plt.hist(a,num_bins)

#设置x轴的刻度
plt.xticks(range(min(a),max(a)+d,d))

plt.grid()
plt.savefig("./t4.png")

plt.show()

输出:
在这里插入图片描述


结束!

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转载自blog.csdn.net/qq_32306361/article/details/105288492