import matplotlib.pyplot as plt
# 1.数据准备
# 房屋面积数据
movie_names = ["雷神3","正义联盟","A","B","C","D","E"]
# 房屋价格数据
tickets = [73853, 57767,22354,15969,14839,8716,52222]
# 2.创建画布
plt.figure(figsize=(10, 4), dpi=80)
# 3.绘制图像
x_ticks = range(len(movie_names))
plt.bar(x_ticks, tickets, color=["b","r","g","y","c","m","y"])
# 修改x刻度
plt.xticks(x_ticks, movie_names)
# 添加标题
plt.title("电影票房收入对比")
# 添加网格
plt.grid(linestyle="--", alpha=0.5)
# 显示图像支持中文
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
plt.show()
import matplotlib.pyplot as plt
# 1.数据准备
movie_names = ["雷神3","正义联盟","幻影车神","复仇之联盟"]
first_day = [10587.6, 10030.1,10062.5, 1275.7]
first_week = [30587.6, 20043.9, 30062.5, 1275.7]
# 2.创建画布
plt.figure(figsize=(10, 4), dpi=80)
# 3.绘制图像
plt.bar(range(4), first_day, width=0.2, label="首日票房")
plt.bar([i+0.2 for i in range(4)], first_week, width=0.2, label="首周票房")
# 显示图列
plt.legend()
# 修改x刻度
plt.xticks([i+0.2 for i in range(4)], movie_names)
# # 添加标题
plt.title("电影票房收入对比")
# # 添加网格
plt.grid(linestyle="--", alpha=0.5)
# 显示图像支持中文
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
plt.show()
