Skip to main content

letterboxdpy

PyPI version Downloads format

Installation

pip install letterboxdpy

Code Example

from letterboxdpy import user
nick = user.User("nmcassa")
print(nick.jsonify())

User Object JSON

{
    "username": "nmcassa",
    "favorites": [
        "The Grand Budapest Hotel",
        "The King of Comedy",
        "The Alpinist",
        "The Graduate"
    ],
    "stats": {
        "Films": "342",
        "This year": "69",
        "List": "1",
        "Following": "6",
        "Followers": "5"
    }
}

** Code Example**

nick = user.User("nmcassa")
print(nick.user_genre_info())

Output

{'action': 55, 'adventure': 101, 'animation': 95, 'comedy': 188, 'crime': 22, 'documentary': 16, 'drama': 94, 'family': 109, 'fantasy': 54, 'history': 5, 'horror': 27, 'music': 9, 'mystery': 30, 'romance': 29, 'science-fiction': 48, 'thriller': 43, 'tv-movie': 13, 'war': 4, 'western': 5}

Code Example

from letterboxdpy import movie
king = movie.Movie("king kong")
print(king.jsonify())

king = movie.Movie("king kong", 2005)
print(king.jsonify())

Movie Object JSON

{
    "title": "king-kong",
    "director": [
        "Merian C. Cooper",
        "Ernest B. Schoedsack"
    ],
    "rating": "3.85 out of 5",
    "description": "A film crew discovers the \"eighth wonder of the world,\" a giant prehistoric ape, and brings him back to New York, where he wreaks havoc.",
    "year": "1933",
    "genres": [
        "horror",
        "adventure",
        "fantasy"
    ]
}
{
    "title": "king-kong-2005",
    "director": "Peter Jackson",
    "rating": "3.32 out of 5",
    "description": "In 1933 New York, an overly ambitious movie producer coerces his cast and hired ship crew to travel to mysterious Skull Island, where they encounter Kong, a giant ape who is immediately smitten with...",
    "year": "2005",
    "genres": [
        "action",
        "adventure",
        "drama"
    ]
}

Code Example

king = movie.Movie("king kong", 2005)
print(king.movie_details())

Output

{'Country': ['New Zealand', 'USA', 'Germany'], 'Studio': ['Universal Pictures', 'WingNut Films', 'Big Primate Pictures', 'MFPV Film'], 'Language': ['English']}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

letterboxdpy-2.tar.gz (248.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

letterboxdpy-2-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file letterboxdpy-2.tar.gz.

File metadata

  • Download URL: letterboxdpy-2.tar.gz
  • Upload date:
  • Size: 248.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for letterboxdpy-2.tar.gz
Algorithm Hash digest
SHA256 4471dfe122bb8e26a09c7038eab89cad518b7cd7522f9cefed73aaecee17b588
MD5 b03de25cb1003d5b7f967aeab12bd1ca
BLAKE2b-256 70754a781f1b6cbf524750543e82c7c1a6f98614c253adacc72b4a19cf8655e4

See more details on using hashes here.

File details

Details for the file letterboxdpy-2-py3-none-any.whl.

File metadata

  • Download URL: letterboxdpy-2-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for letterboxdpy-2-py3-none-any.whl
Algorithm Hash digest
SHA256 45651f8b9c1c34ff2891c82b52f72ee64f938190b1d743688de15205eed61a8b
MD5 464b919ac03f54c144577640b449e2df
BLAKE2b-256 7878bb0f08c28afa27364d7c080cc78cb025fac92ffc4dbbb432475098ba6b9e

See more details on using hashes here.

Release history Release notifications | RSS feed

6.5.7

2 files

6.5.6

2 files

6.5.5

2 files

6.5.4

2 files

6.5.3

2 files

6.5.2

2 files

6.5.1

2 files

6.5.0

2 files

6.4.1

2 files

6.4.0

2 files

6.3.0

2 files

6.2.0

2 files

6.1.0

2 files

6.0.0

2 files

5.3.7

2 files

5.1.1

2 files

5.1

2 files

5.0

2 files

4.5

2 files

4.2

2 files

4.1

2 files

4.0

2 files

3.17

2 files

3.15

2 files

3.1

2 files

3

2 files

2.75

2 files

2.5

2 files

2.2

2 files

2.1

2 files

This release

2 This release

2 files

1.8

2 files

1.7

2 files

1.6

2 files

1.5

1 file

1.4

1 file

1.3

1 file

1.2

1 file

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page