# 设置字体
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = False
mpl.rcParams['font.sans-serif'] = ['SimHei']#黑体
from matplotlib import pyplot as plt
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！\n爸爸","加勒比海盗5：\n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,color='red')#range(len(a)取列表中的数值，绘制竖着的条形图
plt.barh(range(len(a)),b,height=0.3,color="orange")#绘制横着的条形图
#设置字符串到x轴
# plt.xticks(range(len(a)),a,rotation=90)#将字符串对应到相应的数字
plt.yticks(range(len(a)),a)#将字符串对应到相应的数字
plt.savefig("./movie.png")
plt.grid(alpha=0.3)
plt.show()
#设置多个条形图
# 设置字体
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = False
mpl.rcParams['font.sans-serif'] = ['SimHei']#黑体
from matplotlib import pyplot as plt
a = ["猩球崛起3：终极之战","敦刻尔克","蜘蛛侠：英雄归来","战狼2"]
b_16 = [15746,312,4497,319]
b_15 = [12357,156,2045,168]
b_14 = [2358,399,2358,362]
x_14=list(range(len(a)))
x_15=list(i+0.2 for i in x_14)
x_16=list(i+0.4 for i in x_14)
#设置图片大小
plt.figure(figsize=(20,10),dpi=50)
#绘条形图
plt.bar(range(len(a)),b_14,width=0.2,color='pink',label='14日')
plt.bar(x_15,b_15,width=0.2,color='yellow',label='15日')
plt.bar(x_16,b_16,width=0.2,color='green',label='16日')
#设置坐标轴
plt.xticks(x_15,a)
#设置图例
plt.legend()
plt.show()
# 设置字体
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = False
mpl.rcParams['font.sans-serif'] = ['SimHei']#黑体
from matplotlib import pyplot as plt
# 绘制直方图
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,即每组的宽度
num_bins = (max(a)-min(a))//d#设置组数
print(max(a),min(a),max(a)-min(a))
print(num_bins)
#设置图形的大小
plt.figure(figsize=(20,8),dpi=80)
# plt.hist(a,num_bins)# 频数分布直方图
plt.hist(a,num_bins,density=True)#频率分布直方图
#设置x轴的刻度
plt.xticks(range(min(a),max(a)+d,d))
plt.grid()
plt.show()
##经过统计整理后的问题无法绘制直方图，原始数据方可绘制直方图；统计后数据可以绘制成条形图，相当于直方图。
interval = [0,5,10,15,20,25,30,35,40,45,60,90]
width = [5,5,5,5,5,5,5,5,5,15,30,60]#组距
quantity = [836,2737,3723,3926,3596,1438,3273,642,824,613,215,47]#数据
print(len(interval),len(width),len(quantity))
#设置图形大小
plt.figure(figsize=(20,8),dpi=80)
plt.bar(range(12),quantity,width=1)
#设置x轴的刻度
_x = [i-0.5 for i in range(13)]#图像往左移动15个单位
_xtick_labels = interval+[150]
plt.xticks(_x,_xtick_labels)
plt.grid(alpha=0.4)
plt.show()
前端框架绘图：
百度ECHART、seaborn