7. Matplotlib条形图与散点图绘制

版权声明：转载注明出处 https://blog.csdn.net/deephacking/article/details/82731780

import matplotlib.pyplot as plt
from numpy import arange
import pandas as pd
fandango_score_comparison = pd.read_csv("fandango_score_comparison.csv")
print(fandango_score_comparison.shape)
print(fandango_score_comparison.columns)
# # 条形统计图
# bar_names = ["1", "2", "3", "4", "5"]
# bar_heights = [3, 4.5, 5, 3.5, 4]
# bar_positions = arange(5) + 1
# fig, ax = plt.subplots()
# # 设置Bar的位置和高度，0.3表示Bar的宽度
# # 常规竖着画的统计图
# ax.bar(bar_positions, bar_heights, 0.3)
# # 横着画的统计图
# # ax.barh(bar_positions, bar_heights, 0.3)
# plt.show()


# 离散点图
fig, ax = plt.subplots()
ax.scatter(fandango_score_comparison["Fandango_Ratingvalue"],fandango_score_comparison["RT_user_norm"])
ax.set_xlabel("Fandango")
ax.set_ylabel("Rotten Tomatoes")
plt.show()