In [11]:
import pandas
import numpy as np
df = pandas.read_csv("chapter_povs.csv")
In [12]:
print(df.replace(np.nan,' ', regex=True))
Character Total Book 1 Book 2 Book 3 Book 4 Book 5 Book 6
0 Tyrion Lannister 48 9 15 11 12 1
1 Jon Snow 42 9 8 12 13
2 Arya Stark 34 5 10 13 3 2 1
3 Daenerys Targaryen 31 10 5 6 10
4 Catelyn Stark 25 11 7 7
5 Sansa Stark 25 6 8 7 3 1
6 Bran Stark 21 7 7 4 3
7 Jaime Lannister 17 9 7 1
8 Eddard Stark 15 15
9 Theon Greyjoy 14 6 7 1
10 Davos Seaworth 13 3 6 4
11 Cersei Lannister 12 10 2
12 Samwell Tarly 10 5 5
13 Brienne of Tarth 8 8
14 Barristan Selmy 5 4 1
15 Victarion Greyjoy 4 2 2
16 Quentyn Martell 4 4
17 Asha Greyjoy 4 1 3
18 Arianne Martell 3 2 1
19 Aeron Greyjoy 2 2
20 Jon Connington 2 2
21 Areo Hotah 2 1 1
22 Melisandre 1 1
23 Arys Oakheart 1 1
In [ ]:
Content source: theJollySin/data_science_by_example
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