数据可视化（1）基础绘图

结合使用pandas

import pandas as pd

reviews = pd.read_csv("../input/wine-reviews/winemag-data_first150k.csv", index_col=0)
reviews.head(3)
(reviews['province'].value_counts().head(10) / len(reviews)).plot.bar()
reviews['points'].value_counts().sort_index().plot.bar()
reviews['points'].value_counts().sort_index().plot.line()
reviews['points'].value_counts().sort_index().plot.area()
reviews[reviews['price'] < 200]['price'].plot.hist()

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

wine_counts.plot.bar(stacked=True)
wine_counts.plot.area()
wine_counts.plot.line()

修改绘图风格

reviews['points'].value_counts().sort_index().plot.bar(figsize=(12, 6)) # figsize=(12, 6)
放在最后的括号中：
figsize=(12, 6)
color='mediumvioletred'
fontsize=16
title='Rankings Given by Wine Magazine',

使用matplotib
'''
import matplotlib.pyplot as plt
import seaborn as sns

ax = 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)
'''

绘制子图
fig, axarr = plt.subplots(2, 1, figsize=(12, 8)) # fig大图 axarr 子图数组
'''
fig, axarr = plt.subplots(2, 2, figsize=(12, 8))

reviews['points'].value_counts().sort_index().plot.bar(
ax=axarr[0][0], fontsize=12, color='mediumvioletred'
)
axarr[0][0].set_title("Wine Scores", fontsize=18)

reviews['variety'].value_counts().head(20).plot.bar(
ax=axarr[1][0], fontsize=12, color='mediumvioletred'
)
axarr[1][0].set_title("Wine Varieties", fontsize=18)

reviews['province'].value_counts().head(20).plot.bar(
ax=axarr[1][1], fontsize=12, color='mediumvioletred'
)
axarr[1][1].set_title("Wine Origins", fontsize=18)

reviews['price'].value_counts().plot.hist(
ax=axarr[0][1], fontsize=12, color='mediumvioletred'
)
axarr[0][1].set_title("Wine Prices", fontsize=18)

plt.subplots_adjust(hspace=.3)

import seaborn as sns
sns.despine()
'''