Pandas Cookbook

How to do it...

1. Select the imdb_score column as a Series:

>>> movie = pd.read_csv('data/movie.csv')>>> imdb_score = movie['imdb_score']>>> imdb_score0       7.9
1       7.1
2       6.8
       ... 
4913    6.3
4914    6.3
4915    6.6
Name: imdb_score, Length: 4916, dtype: float64

2. Use the plus operator to add one to each Series element:

>>> imdb_score + 10       8.9
1       8.1
2       7.8
       ... 
4913    7.3
4914    7.3
4915    7.6
Name: imdb_score, Length: 4916, dtype: float64

3. The other basic arithmetic operators minus (-), multiplication (*), division (/), and exponentiation (**) work similarly with scalar values. In this step, we will multiply the series by 2.5:

>>> imdb_score * 2.50       19.75
1       17.75
2       17.00
        ...  
4913    15.75
4914    15.75
4915    16.50
Name: imdb_score, Length: 4916, dtype: float64

4. Python ...