General Seaborn Settings

This will explore some of the adjustable options that are common to most plot types in Seaborn such as adjusting axis ticks, labels, legends, backgrounds, bounding boxes, etc.



In [1]:

    
%matplotlib inline
import pandas as pd



In [4]:

    
df = pd.read_csv('../../../datasets/movie_metadata.csv')



In [5]:

    
df.head()









    Out[5]:







  
    
      
      color
      director_name
      num_critic_for_reviews
      duration
      director_facebook_likes
      actor_3_facebook_likes
      actor_2_name
      actor_1_facebook_likes
      gross
      genres
      ...
      num_user_for_reviews
      language
      country
      content_rating
      budget
      title_year
      actor_2_facebook_likes
      imdb_score
      aspect_ratio
      movie_facebook_likes
    
  
  
    
      0
      Color
      James Cameron
      723.0
      178.0
      0.0
      855.0
      Joel David Moore
      1000.0
      760505847.0
      Action|Adventure|Fantasy|Sci-Fi
      ...
      3054.0
      English
      USA
      PG-13
      237000000.0
      2009.0
      936.0
      7.9
      1.78
      33000
    
    
      1
      Color
      Gore Verbinski
      302.0
      169.0
      563.0
      1000.0
      Orlando Bloom
      40000.0
      309404152.0
      Action|Adventure|Fantasy
      ...
      1238.0
      English
      USA
      PG-13
      300000000.0
      2007.0
      5000.0
      7.1
      2.35
      0
    
    
      2
      Color
      Sam Mendes
      602.0
      148.0
      0.0
      161.0
      Rory Kinnear
      11000.0
      200074175.0
      Action|Adventure|Thriller
      ...
      994.0
      English
      UK
      PG-13
      245000000.0
      2015.0
      393.0
      6.8
      2.35
      85000
    
    
      3
      Color
      Christopher Nolan
      813.0
      164.0
      22000.0
      23000.0
      Christian Bale
      27000.0
      448130642.0
      Action|Thriller
      ...
      2701.0
      English
      USA
      PG-13
      250000000.0
      2012.0
      23000.0
      8.5
      2.35
      164000
    
    
      4
      NaN
      Doug Walker
      NaN
      NaN
      131.0
      NaN
      Rob Walker
      131.0
      NaN
      Documentary
      ...
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      12.0
      7.1
      NaN
      0
    
  

5 rows × 28 columns



In [ ]:

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	...	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes
0	Color	James Cameron	723.0	178.0	0.0	855.0	Joel David Moore	1000.0	760505847.0	Action\|Adventure\|Fantasy\|Sci-Fi	...	3054.0	English	USA	PG-13	237000000.0	2009.0	936.0	7.9	1.78	33000
1	Color	Gore Verbinski	302.0	169.0	563.0	1000.0	Orlando Bloom	40000.0	309404152.0	Action\|Adventure\|Fantasy	...	1238.0	English	USA	PG-13	300000000.0	2007.0	5000.0	7.1	2.35	0
2	Color	Sam Mendes	602.0	148.0	0.0	161.0	Rory Kinnear	11000.0	200074175.0	Action\|Adventure\|Thriller	...	994.0	English	UK	PG-13	245000000.0	2015.0	393.0	6.8	2.35	85000
3	Color	Christopher Nolan	813.0	164.0	22000.0	23000.0	Christian Bale	27000.0	448130642.0	Action\|Thriller	...	2701.0	English	USA	PG-13	250000000.0	2012.0	23000.0	8.5	2.35	164000
4	NaN	Doug Walker	NaN	NaN	131.0	NaN	Rob Walker	131.0	NaN	Documentary	...	NaN	NaN	NaN	NaN	NaN	NaN	12.0	7.1	NaN	0