Neil Loknath nloko

tiaplagata / basic_wc_func.py

Last active November 7, 2021 23:57

function to generate a word cloud from text

	#Define a list of stop words
	stopwords = ['private', 'tour', 'transfer', 'guide', 'skip', 'line',
	'skiptheline', 'vice', 'versa']

	#A function to generate the word cloud from text
	def generate_basic_wordcloud(data, title):
	cloud = WordCloud(width=400,
	height=330,
	max_words=150,
	colormap='tab20c',

tiaplagata / dtm_wordcloud.py

Created January 27, 2021 20:06

	# Store our document term matrix data for Rome
	data = dtm.transpose()['Rome, Italy'].sort_values(ascending=False)

	# Generate the word cloud from frequencies
	wc = WordCloud().generate_from_frequencies(data)

	plt.imshow(wc)
	plt.axis('off')
	plt.show()

tiaplagata / basic_wordcloud.py

Last active November 7, 2021 23:57

creating a basic word cloud from text corpus

	#Give our Rome corpus a variable name
	rome_corpus = df.lemmatized[10]

	#Instantiate wordcloud object and use method to feed it our corpus
	wc = WordCloud().generate_from_text(rome_corpus)

	#Use matplotlib.pyplot to display the fitted wordcloud
	#Turn axis off to get rid of axis numbers
	plt.imshow(wc)
	plt.axis('off')

tiaplagata / wordcloud_imports.py

Last active November 7, 2021 23:56

imports needed for word clouds

	from wordcloud import WordCloud, ImageColorGenerator
	from PIL import Image
	import matplotlib.pyplot as plt

	import pandas as pd
	import numpy as np

xtian / html5boilerplate.jade

Last active December 23, 2023 15:05

HTML5 Boilerplate in jade

	!!! 5
	html(class='no-js')
	head
	meta(charset='utf-8')
	meta(http-equiv='X-UA-Compatible', content='IE=edge')

	title

	meta(name='description', content='')
	meta(name='viewport', content='width=device-width, initial-scale=1')