> For the complete documentation index, see [llms.txt](https://developer-mina.gitbook.io/setify/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer-mina.gitbook.io/setify/datasets/art-and-entertainment.md).

# Art and Entertainment

### `netflix_titles()`

This [dataset](https://www.kaggle.com/shivamb/netflix-shows) consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine. 

{% tabs %}
{% tab title="Data" %}

```
                                                   cast  ...     type
0     Alan Marriott, Andrew Toth, Brian Dobson, Cole...  ...    Movie
1                                      Jandino Asporaat  ...    Movie
2     Peter Cullen, Sumalee Montano, Frank Welker, J...  ...  TV Show
3     Will Friedle, Darren Criss, Constance Zimmer, ...  ...  TV Show
4     Nesta Cooper, Kate Walsh, John Michael Higgins...  ...    Movie
...                                                 ...  ...      ...
6228  Burnie Burns, Jason Saldaña, Gustavo Sorola, G...  ...  TV Show
6229  Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...  ...  TV Show
6230                                                NaN  ...    Movie
6231  Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...  ...  TV Show
6232  Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...  ...  TV Show
```

{% endtab %}

{% tab title="Information" %}

```
[6233 rows x 12 columns]
<class 'pandas.core.frame.DataFrame'>
Int64Index: 6233 entries, 0 to 6232
Data columns (total 12 columns):
 #   Column        Non-Null Count  Dtype 
---  ------        --------------  ----- 
 0   cast          5663 non-null   object
 1   country       5757 non-null   object
 2   date_added    6222 non-null   object
 3   description   6233 non-null   object
 4   director      4265 non-null   object
 5   duration      6233 non-null   object
 6   listed_in     6233 non-null   object
 7   rating        6223 non-null   object
 8   release_year  6233 non-null   object
 9   show_id       6233 non-null   int64 
 10  title         6233 non-null   object
 11  type          6233 non-null   object
dtypes: int64(1), object(11)
memory usage: 633.0+ KB
```

{% endtab %}
{% endtabs %}

### `holiday_songs_spotify()`

More information about this dataset can be found here: [Spotify Developers](< https://developer.spotify.com/>)

{% tabs %}
{% tab title="Data" %}

```
    acousticness  ... valence
0           0.82  ...   0.262
1          0.912  ...    0.19
2          0.911  ...   0.356
3          0.434  ...   0.746
4       0.000165  ...   0.571
...          ...  ...     ...
162       0.0134  ...   0.922
163        0.841  ...   0.399
164        0.827  ...    0.93
165        0.353  ...   0.277
166        0.558  ...    0.97

```

{% endtab %}

{% tab title="Information" %}

```
[167 rows x 21 columns]
<class 'pandas.core.frame.DataFrame'>
Int64Index: 167 entries, 0 to 166
Data columns (total 21 columns):
 #   Column            Non-Null Count  Dtype  
---  ------            --------------  -----  
 0   acousticness      167 non-null    float64
 1   album_img         167 non-null    object 
 2   album_name        167 non-null    object 
 3   artist_name       167 non-null    object 
 4   danceability      167 non-null    float64
 5   duration_ms       167 non-null    int64  
 6   energy            167 non-null    float64
 7   instrumentalness  167 non-null    float64
 8   key               167 non-null    object 
 9   key_mode          167 non-null    object 
 10  liveness          167 non-null    float64
 11  loudness          167 non-null    float64
 12  mode              167 non-null    object 
 13  playlist_img      167 non-null    object 
 14  playlist_name     167 non-null    object 
 15  speechiness       167 non-null    float64
 16  tempo             167 non-null    float64
 17  time_signature    167 non-null    int64  
 18  track_name        167 non-null    object 
 19  track_uri         167 non-null    object 
 20  valence           167 non-null    float64
dtypes: float64(9), int64(2), object(10)
memory usage: 28.7+ KB
```

{% endtab %}
{% endtabs %}