[Data Analysis and Visualization] DataFrame Selection and Indexing

Others 2020-04-19 23:41:57 views: null 
import numpy as np
import pandas as pd

!pwd

/Users/bennyrhys/opt/anaconda3/bin

!ls /Users/bennyrhys/Desktop/数据分析可视化-数据集/homework

AMZN.csv           apply_demo.csv     iris.csv           top5.csv
BABA.csv           city_weather.csv   movie_metadata.csv train.csv
Pokemon.csv        demo_duplicate.csv sales-funnel.xlsx  usa_flights.csv

# 读取电影csv文件
imdb = pd.read_csv('/Users/bennyrhys/Desktop/数据分析可视化-数据集/homework/movie_metadata.csv')
imdb
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 Up 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
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
5038 Color Scott Smith 1.0 87.0 2.0 318.0 Daphne Zuniga 637.0 NaN Comedy|Drama ... 6.0 English Canada NaN NaN 2013.0 470.0 7.7 NaN 84
5039 Color NaN 43.0 43.0 NaN 319.0 Valorie Curry 841.0 NaN Crime|Drama|Mystery|Thriller ... 359.0 English USA TV-14 NaN NaN 593.0 7.5 16.00 32000
5040 Color Benjamin Roberds 13.0 76.0 0.0 0.0 Maxwell Moody 0.0 NaN Drama|Horror|Thriller ... 3.0 English USA NaN 1400.0 2013.0 0.0 6.3 NaN 16
5041 Color Daniel Hsia 14.0 100.0 0.0 489.0 Daniel Henney 946.0 10443.0 Comedy|Drama|Romance ... 9.0 English USA PG-13 NaN 2012.0 719.0 6.3 2.35 660
5042 Color Jon Gunn 43.0 90.0 16.0 16.0 Brian Herzlinger 86.0 85222.0 Documentary ... 84.0 English USA PG 1100.0 2004.0 23.0 6.6 1.85 456

5043 rows × 28 columns

# 数据多，查看多少 行列
imdb.shape

(5043, 28)

# 显示部分(默认返回前五行)
imdb.head()
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 Up 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

# 显示部分(默认返回后五行)
imdb.tail()
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
5038 Color Scott Smith 1.0 87.0 2.0 318.0 Daphne Zuniga 637.0 NaN Comedy|Drama ... 6.0 English Canada NaN NaN 2013.0 470.0 7.7 NaN 84
5039 Color NaN 43.0 43.0 NaN 319.0 Valorie Curry 841.0 NaN Crime|Drama|Mystery|Thriller ... 359.0 English USA TV-14 NaN NaN 593.0 7.5 16.00 32000
5040 Color Benjamin Roberds 13.0 76.0 0.0 0.0 Maxwell Moody 0.0 NaN Drama|Horror|Thriller ... 3.0 English USA NaN 1400.0 2013.0 0.0 6.3 NaN 16
5041 Color Daniel Hsia 14.0 100.0 0.0 489.0 Daniel Henney 946.0 10443.0 Comedy|Drama|Romance ... 9.0 English USA PG-13 NaN 2012.0 719.0 6.3 2.35 660
5042 Color Jon Gunn 43.0 90.0 16.0 16.0 Brian Herzlinger 86.0 85222.0 Documentary ... 84.0 English USA PG 1100.0 2004.0 23.0 6.6 1.85 456

5 rows × 28 columns

# 显示部分(指定返回行数)
imdb.head(10)
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 Up 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 Color Andrew Stanton 462.0 132.0 475.0 530.0 Samantha Morton 640.0 73058679.0 Action|Adventure|Sci-Fi ... 738.0 English USA PG-13 263700000.0 2012.0 632.0 6.6 2.35 24000
6 Color Sam Raimi 392.0 156.0 0.0 4000.0 James Franco 24000.0 336530303.0 Action|Adventure|Romance ... 1902.0 English USA PG-13 258000000.0 2007.0 11000.0 6.2 2.35 0
7 Color Nathan Greno 324.0 100.0 15.0 284.0 Donna Murphy 799.0 200807262.0 Adventure|Animation|Comedy|Family|Fantasy|Musi... ... 387.0 English USA PG 260000000.0 2010.0 553.0 7.8 1.85 29000
8 Color Joss Whedon 635.0 141.0 0.0 19000.0 Robert Downey Jr. 26000.0 458991599.0 Action|Adventure|Sci-Fi ... 1117.0 English USA PG-13 250000000.0 2015.0 21000.0 7.5 2.35 118000
9 Color David Yates 375.0 153.0 282.0 10000.0 Daniel Radcliffe 25000.0 301956980.0 Adventure|Family|Fantasy|Mystery ... 973.0 English UK PG 250000000.0 2009.0 11000.0 7.5 2.35 10000

10 rows × 28 columns

# 返回列 Series类型,生成新的DataFrame
imdb[['color','director_name']]
color director_name
0 Color James Cameron
1 Color Gore Verbinski
2 Color Sam Mendes
3 Color Christopher Nolan
4 NaN Doug Walker
... ... ...
5038 Color Scott Smith
5039 Color NaN
5040 Color Benjamin Roberds
5041 Color Daniel Hsia
5042 Color Jon Gunn

5043 rows × 2 columns

# 无法通过head取指定的行范围
row_bf = imdb[['director_name','movie_title','imdb_score']]
row_bf.head()
director_name movie_title imdb_score
0 James Cameron Avatar 7.9
1 Gore Verbinski Pirates of the Caribbean: At World's End 7.1
2 Sam Mendes Spectre 6.8
3 Christopher Nolan The Dark Knight Rises 8.5
4 Doug Walker Star Wars: Episode VII - The Force Awakens  ... 7.1 
# 行列 的范围实现切片
row_bf.iloc[10:20,:]
director_name movie_title imdb_score
10 Zack Snyder Batman v Superman: Dawn of Justice 6.9
11 Bryan Singer Superman Returns 6.1
12 Marc Forster Quantum of Solace 6.7
13 Gore Verbinski Pirates of the Caribbean: Dead Man's Chest 7.3
14 Gore Verbinski The Lone Ranger 6.5
15 Zack Snyder Man of Steel 7.2
16 Andrew Adamson The Chronicles of Narnia: Prince Caspian 6.6
17 Joss Whedon The Avengers 8.1
18 Rob Marshall Pirates of the Caribbean: On Stranger Tides 6.7
19 Barry Sonnenfeld Men in Black 3 6.8 
# 限制列切片
tmp_df = row_bf.iloc[10:20,0:2]
tmp_df
director_name movie_title
10 Zack Snyder Batman v Superman: Dawn of Justice
11 Bryan Singer Superman Returns
12 Marc Forster Quantum of Solace
13 Gore Verbinski Pirates of the Caribbean: Dead Man's Chest
14 Gore Verbinski The Lone Ranger
15 Zack Snyder Man of Steel
16 Andrew Adamson The Chronicles of Narnia: Prince Caspian
17 Joss Whedon The Avengers
18 Rob Marshall Pirates of the Caribbean: On Stranger Tides
19 Barry Sonnenfeld Men in Black 3 
# iloc对当前数据框的选择范围(index 和label没关系)
tmp_df.iloc[2:4,:]
director_name movie_title
12 Marc Forster Quantum of Solace
13 Gore Verbinski Pirates of the Caribbean: Dead Man's Chest 
# 想通过label名字去定位(loc没有前面的i,通过名字查不受index限制)
tmp_df.loc[15:17,:]
director_name movie_title
15 Zack Snyder Man of Steel
16 Andrew Adamson The Chronicles of Narnia: Prince Caspian
17 Joss Whedon The Avengers 
# 列也可以
tmp_df.loc[15:17,:'director_name']
director_name
15 Zack Snyder
16 Andrew Adamson
17 Joss Whedon
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