Data Analysis_matplotlib

#条形图
from matplotlib import  pyplot as  plt
import  matplotlib
import  random
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False




x = range(0,120)

y = [random.randint(20,25) for x in range(120)]

plt.figure(figsize=(15,8),dpi=80)

plt.plot(x,y)

#调整x的刻度尺

_x =  list(x)
_xtab = ["10点{}分".format(i) for i in range(60)]
_xtab += ["11点{}分".format(i) for i in range(60)]

plt.xticks(x[::3],_xtab[::3],rotation = 45)# rotation旋转90度


plt.xlabel("时间")
plt.ylabel("温度单位(c)")
plt.title("10到12点每分钟变化情况")

#折线图

from  matplotlib import  pyplot as plt


plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

y_1 = [1,0,1,1,2,4,3,2,3,4,4,5,6,5,4,3,3,1,1,1] #y轴
y_2 = [2,0,3,1,4,5,3,2,2,3,3,6,4,2,2,1,3,0,2,1] #y轴

x = range(11,31) #x轴

#图像展示大小
plt.figure(figsize=(16,8),dpi=80)

#添加标签, 颜色
plt.plot(x,y_1,label="自己",color = "orange",linestyle=":")
plt.plot(x,y_2,label ="同桌", color = "cyan",linestyle="--")


_xtick = ["{}岁".format(i) for i in  x]


#x y 刻度
plt.xticks(x,_xtick)
plt.yticks(range(0,9))

#绘制网格
plt.grid(alpha = 0.1)

#添加图例
plt.legend(loc = "upper left")

#展示
plt.show()

#散点图

from  matplotlib import pyplot as  plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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_6 =[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]

x_3 = range(1,32)
x_6 = range(51,82)

plt.figure(figsize=(16,8),dpi=80)


#散点图
plt.scatter(x_3,y_3,label ="3月份")
plt.scatter(x_6,y_6,label ="10月份")

#调整x的刻度轴
_x = list(x_3) + list(x_6)
_xticks = ["3月{}日".format(i) for i in  x_3]
_xticks += ["10月{}日".format(i-50) for i in  x_6]
plt.xticks(_x[::3], _xticks[::3],rotation = 45)



#添加描述信息
plt.legend()
plt.title("时间温度展示表")
plt.xlabel("时间")
plt.ylabel("温度")

#展示
plt.show()

#条形统计图
from  matplotlib import  pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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]

#图像大小
plt.figure(figsize=(16,10),dpi=80)

#绘制图像
plt.bar(range(len(a)),b,width = 0.3)

#设置刻度
plt.xticks(range(len(a)),a,rotation = 90)

plt.show()

#横形条形统计图

from  matplotlib import  pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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]

#图像大小
plt.figure(figsize=(16,10),dpi=80)

#绘制图像
plt.barh(range(len(a)),b,height = 0.3,color ="orange")

#设置刻度
plt.yticks(range(len(a)),a)

plt.show()

# 折线统计图

from  matplotlib import  pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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]

#图像大小
plt.figure(figsize=(16,10),dpi=80)

#绘制图像
plt.barh(range(len(a)),b,height = 0.3,color ="orange")

#设置刻度
plt.yticks(range(len(a)),a)

plt.show()

#绘制直方统计图

from  matplotlib import  pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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]

#图像大小
plt.figure(figsize=(16,10),dpi=80)

#绘制图像
plt.barh(range(len(a)),b,height = 0.3,color ="orange")

#设置刻度
plt.yticks(range(len(a)),a)

plt.show()

#直方图

from  matplotlib import  pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

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]

#图像大小
plt.figure(figsize=(16,10),dpi=80)

#绘制图像
plt.barh(range(len(a)),b,height = 0.3,color ="orange")

#设置刻度
plt.yticks(range(len(a)),a)

plt.show()


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转载自blog.csdn.net/qq_43219213/article/details/88720499