需求:
- 绘制2017年内地电影票房前20的电影和票房数据情况条形图
- 另外,单拎出4部电影,每部电影3天的票房数据, 展示电影本身的票房以及同其他电影的数据对比情况
难点:
import matplotlib.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"]
print(len(a),len(b))
_x = range(len(a))
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]
plt.figure(figsize=(20, 8), dpi = 80)
plt.xticks(_x,a, rotation = 45)
plt.bar(_x, b, width = 0.5, color = 'pink')
plt.ylabel('电影票房(亿)')
plt.title('2017年度内地电影票房top20')
plt.show()

a = ["猩球崛起3:终极之战","敦刻尔克","蜘蛛侠:英雄归来","战狼2"]
print(len(a))
b_16 = [15746,312,4497,319]
b_15 = [12357,156,2045,168]
b_14 = [2358,399,2358,362]
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 for i in x_15]
plt.figure(figsize = (20, 8), dpi = 80)
plt.bar(x_14, b_14, width = bar_width, color = 'pink', label = '9月14日')
plt.bar(x_15, b_15, width = bar_width, color = 'red', label = '9月15日')
plt.bar(x_16, b_16, width = bar_width, color = 'purple', label = '9月16日')
plt.xticks(x_15, a)
plt.legend(loc = 'upper right')
plt.xlabel('电影名')
plt.ylabel('电影票房(元)')
plt.title("选取4部电影比较3天票房数据")
plt.show()
x轴刻度有问题的图:

终图:
