Pandas條形圖與散點圖（續）
import matplotlib.pyplot as plt
from numpy import arange
import pandas as pd
reviews = pd.read_csv(r"E:\PyCharm\fandango_score_comparison.csv")
cols = ["FILM", "RT_user_norm", "Metacritic_user_nom", "IMDB_norm", "Fandango_Ratingvalue", "Fandango_Stars"]
num_cols = ["RT_user_norm", "Metacritic_user_nom", "IMDB_norm", "Fandango_Ratingvalue", "Fandango_Stars"]
norm_reviews = reviews[cols]
bar_width = norm_reviews.ix[0, num_cols].values
bar_positions = arange(5) + 0.75
fig, ax = plt.subplot()
ax.barh(bar_positions, bar_width, 0.5) #設定成入下格式
結果如下：
設定柱狀圖如下：
tick_positions = range(1,6)
ax.set_yticks(tick_positions)
ax.set_yticklabels(num_cols) #這兩句話用來設定Y軸上的文字
ax.set_ylabel("Rating Source")
ax.set_xlabel("Average Rating")
ax.set_title("Analyse")
plt.show()
結果如下：
散點圖的繪製如下：
fig, ax = plt.subplots()
ax.scatter(norm_reviews["RT_user_norm"], norm_reviews["Metacritic_user_nom"])
ax.set_xlabel("RT_user_norm")
ax.set_ylabel("Metacritic_user_nom")
plt.show()
結果如下：
fig = plt.subplot(figsize(5,5))
ax1 = fig.add_subplot(2,2,1)
ax2 = fig.add_subplot(2,2,4)
ax1.scatter(norm_reviews["RT_user_norm"], norm_reviews["Metacritic_user_nom"])
ax1.set_xlabel("RT_user_norm")
ax1.set_ylabel("Metacritic_user_nom")
ax2.scatter(norm_reviews["RT_user_norm"], norm_reviews["Metacritic_user_nom"])
ax2.set_xlabel("RT_user_norm")
ax2.set_ylabel("Metacritic_user_nom")
plt.show() #fig設定圖的引數， ax通常進行實際操作
結果如下：
