def allTweets(showGraph=False): tweet_dict = prpr.countAllTweets("data/scrapeDJIA.txt") keylist = tweet_dict.keys() keylist.sort() # Write csv file with open("data/frequency.csv", "wb") as csvfile: writer = csv.writer(csvfile, delimiter=';', quotechar='|', quoting=csv.QUOTE_MINIMAL) writer.writerow(['Year-month-day_hour', 'tweetcount']) for key in keylist: writer.writerow([key, tweet_dict[key]]) csvfile.close() if (showGraph): #initialize list N_points = len(keylist) #per uur points_of_graph = [0] * N_points i = 0 for key in keylist: points_of_graph[i] = tweet_dict[key] i += 1 plt.plot(range(N_points), points_of_graph) plt.ylabel('Tweet volume') plt.xlabel('Hour') plt.show()
def allTweets(showGraph=False): tweet_dict = prpr.countAllTweets("data/scrapeDJIA.txt") keylist = tweet_dict.keys() keylist.sort() # Write csv file with open("data/frequency.csv", "wb") as csvfile: writer = csv.writer(csvfile, delimiter=';', quotechar='|', quoting=csv.QUOTE_MINIMAL) writer.writerow(['Year-month-day_hour', 'tweetcount']) for key in keylist: writer.writerow([key, tweet_dict[key]]) csvfile.close() if(showGraph): #initialize list N_points = len(keylist) #per uur points_of_graph=[0]*N_points i = 0 for key in keylist: points_of_graph[i] = tweet_dict[key] i += 1 plt.plot(range(N_points) ,points_of_graph) plt.ylabel('Tweet volume') plt.xlabel('Hour') plt.show()