nchibana

function updateData(){
    d3.json('https://storyplotsapp.herokuapp.com/api', {
        method:"POST",
        body: JSON.stringify({
        movie_title: ItemSelect
        }),
        headers: {"Content-type": "application/json; charset=UTF-8"}
        }).then(function(data){
            console.log(data);
        // // Prepare and clean data

nchibana

from scipy.cluster.hierarchy import fcluster

import scipy.cluster.hierarchy as hac

Z = hac.linkage(df_interpolate.iloc[:,0:266], method='ward', metric='euclidean')

# k Number of clusters I'd like to extract
results = fcluster(Z, k, criterion='maxclust')

nchibana

def process():
  windowSizes = [2000]
  words = [x.lower() for x in re.findall(r"[\w\@\#\'\&\]\*\-\/\[\=\;]+",raw_text_clean,flags=re.UNICODE)]
  lines = raw_text_clean.split("\n")
  kwords = []
  klines = []
  for i in range(len(lines)):
    if lines[i][0:3] != "<b>":
      tmpwords = [x.lower() for x in re.findall(r"[\w\@\#\'\&\]\*\-\/\[\=\;]+",lines[i],flags=re.UNICODE)]
      kwords.extend(tmpwords)

nchibana

dict = pd.read_csv('./NRC-VAD-Lexicon-Aug2018Release/NRC-VAD-Lexicon-Aug2018Release/NRC-VAD-Lexicon.txt', sep='\t')
dict['Ranking'] = np.arange(1, len(dict)+1)
columnsTitles = ["Word","Ranking","Arousal","Valence","Dominance"]
dict = dict.reindex(columns=columnsTitles)
dict['Arousal'] = dict['Arousal'].astype(str)
newDict = dict.set_index('Word').T.to_dict('list')

nchibana

import os
from urllib.parse import quote

from bs4 import BeautifulSoup
import requests

BASE_URL = 'http://www.imsdb.com'
SCRIPTS_DIR = 'scripts'