

In [1]:

    
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from pandas import Series,DataFrame
import seaborn as sns



In [2]:

    
#https://www.kaggle.com/residentmario/bivariate-plotting-with-pandas/data
reviews = pd.read_csv("winemag-data_first150k.csv", index_col=0)
reviews.head()









    Out[2]:







  
    
      
      country
      description
      designation
      points
      price
      province
      region_1
      region_2
      variety
      winery
    
  
  
    
      0
      US
      This tremendous 100% varietal wine hails from ...
      Martha's Vineyard
      96
      235.0
      California
      Napa Valley
      Napa
      Cabernet Sauvignon
      Heitz
    
    
      1
      Spain
      Ripe aromas of fig, blackberry and cassis are ...
      Carodorum Selección Especial Reserva
      96
      110.0
      Northern Spain
      Toro
      NaN
      Tinta de Toro
      Bodega Carmen Rodríguez
    
    
      2
      US
      Mac Watson honors the memory of a wine once ma...
      Special Selected Late Harvest
      96
      90.0
      California
      Knights Valley
      Sonoma
      Sauvignon Blanc
      Macauley
    
    
      3
      US
      This spent 20 months in 30% new French oak, an...
      Reserve
      96
      65.0
      Oregon
      Willamette Valley
      Willamette Valley
      Pinot Noir
      Ponzi
    
    
      4
      France
      This is the top wine from La Bégude, named aft...
      La Brûlade
      95
      66.0
      Provence
      Bandol
      NaN
      Provence red blend
      Domaine de la Bégude

sns.countplot() sns.kdeplot() 核密度估计 sns.jointplot() sns.boxplot() sns.violinplot()



In [4]:

    
sns.countplot(reviews['points'])
#reviews['points'].value_counts().sort_index().plot.bar()
plt.show()



In [5]:

    
sns.kdeplot(reviews.query('price < 200').price)
#reviews[reviews['price'] < 200]['price'].value_counts().sort_index().plot.line()
plt.show()



In [6]:

    
# 出现锯齿状
reviews[reviews['price'] < 200]['price'].value_counts().sort_index().plot.line()
plt.show()



In [7]:

    
#两个类别的关系
sns.kdeplot(reviews[reviews['price'] < 200].loc[:, ['price', 'points']].dropna().sample(5000))
plt.show()









    



C:\ProgramData\Anaconda3\lib\site-packages\seaborn\distributions.py:630: UserWarning: Passing a 2D dataset for a bivariate plot is deprecated in favor of kdeplot(x, y), and it will cause an error in future versions. Please update your code.
  warnings.warn(warn_msg, UserWarning)



In [8]:

    
sns.distplot(reviews['points'], bins=10, kde=False)
#reviews[reviews['price'] < 200]['price'].plot.hist() 对应直方图
plt.show()

jointplot 对应 kind=scatter/reg/hex/kde



In [12]:

    
sns.jointplot(x='price', y='points', data=reviews[reviews['price'] < 100])
plt.show()



In [10]:

    
sns.jointplot(x='price', y='points', data=reviews[reviews['price'] < 100], kind='hex', 
              gridsize=20)
plt.show()



In [15]:

    
sns.jointplot(x='price', y='points', data=reviews[reviews['price'] < 100], kind='reg')
plt.show()



In [16]:

    
sns.jointplot(x='price', y='points', data=reviews[reviews['price'] < 100], kind='kde', 
              gridsize=20)
plt.show()



In [19]:

    
df = reviews[reviews.variety.isin(reviews.variety.value_counts().head(5).index)]
sns.boxplot(x='variety', y='points', data=df)
plt.show()

Red Blend 比Chardonnay variety得分更高一点



In [20]:

    
sns.violinplot( x='variety',y='points',data=reviews[reviews.variety.isin(reviews.variety.value_counts()[:5].index)])
plt.show()



In [ ]:

	country	description	designation	points	price	province	region_1	region_2	variety	winery
0	US	This tremendous 100% varietal wine hails from ...	Martha's Vineyard	96	235.0	California	Napa Valley	Napa	Cabernet Sauvignon	Heitz
1	Spain	Ripe aromas of fig, blackberry and cassis are ...	Carodorum Selección Especial Reserva	96	110.0	Northern Spain	Toro	NaN	Tinta de Toro	Bodega Carmen Rodríguez
2	US	Mac Watson honors the memory of a wine once ma...	Special Selected Late Harvest	96	90.0	California	Knights Valley	Sonoma	Sauvignon Blanc	Macauley
3	US	This spent 20 months in 30% new French oak, an...	Reserve	96	65.0	Oregon	Willamette Valley	Willamette Valley	Pinot Noir	Ponzi
4	France	This is the top wine from La Bégude, named aft...	La Brûlade	95	66.0	Provence	Bandol	NaN	Provence red blend	Domaine de la Bégude