| #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', |
| # 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() |
| #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') |
| from wordcloud import WordCloud, ImageColorGenerator | |
| from PIL import Image | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| import numpy as np |
When times get tough and people get nasty, you’ll need more than a killer smile. You’ll need a killer contract.
Used by 1000s of designers and developers Clarify what’s expected on both sides Helps build great relationships between you and your clients Plain and simple, no legal jargon Customisable to suit your business Used on countless web projects since 2008
…………………………
| !!! 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') |