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()
