相關內容
Matplotlib可視化練習

Pandas 數據可視化總結

柱狀圖

reviews['points'].value_counts().sort_index().plot.bar()

散點圖

reviews[reviews['price'] < 100].sample(100).plot.scatter(x='price', y='points')

蜂窩圖

reviews[reviews['price'] < 100].plot.hexbin(x='price', y='points', gridsize=15)

大量重復的點可以用這種圖表示

柱狀圖-疊加模式

wine_counts.plot.bar(stacked=True)

面積模式

wine_counts.plot.area()

折線模式

wine_counts.plot.line()

美化

設置圖的大小，字體大小，顏色，標題

reviews['points'].value_counts().sort_index().plot.bar(figsize=(12, 6),color='mediumvioletred',fontsize=16,title='Rankings Given by Wine Magazine',
)

借助Matplotlib

import matplotlib.pyplot as pltax = reviews['points'].value_counts().sort_index().plot.bar(figsize=(12, 6),color='mediumvioletred',fontsize=16
)
ax.set_title("Rankings Given by Wine Magazine", fontsize=20)

借助Seaborn-去除邊框

import matplotlib.pyplot as plt
import seaborn as snsax = reviews['points'].value_counts().sort_index().plot.bar(figsize=(12, 6),color='mediumvioletred',fontsize=16
)
ax.set_title("Rankings Given by Wine Magazine", fontsize=20)
sns.despine(bottom=True, left=True)

多圖表

matplotlib

fig, axarr = plt.subplots(2, 2, figsize=(12, 8))reviews['points'].value_counts().sort_index().plot.bar(ax=axarr[0][0]
)reviews['province'].value_counts().head(20).plot.bar(ax=axarr[1][1]