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active_time-24h_times.py~
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active_time-24h_times.py~
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import os
import pickle
import datetime
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import pylab
time_now = datetime.datetime.now()
def sep_rtp(user_id):
all_time = [] #time for all activation
ot_time = [] #time for original tweet
rted_time = [] #time for a tweet be retweeted
rt_orig_time = [] #the original time of retweeted tweet
rp_time = [] #time for reply
rt_delay = [] # rted_time - rt_orig_time
f2 = open("Data/%s/profile.pickle"%user_id,'rb')
profile = pickle.load(f2)
f_path = "Data/%s/statuses_list.pickle"%user_id
if not os.path.exists(f_path):
print("Can't find user %s's statuses_list. Probably user doesn't have any tweet!"%user_id)
pass
else:
f = open("Data/%s/statuses_list.pickle"%user_id,'rb')
while True: #Since pickle can't read to the end automatically.
try:
statuses=pickle.load(f)
for tweet in statuses:
status_time = tweet.created_at
hour = (24+status_time.hour-6)%24 #change to central american time
x_time = hour+status_time.minute/60
all_time.append(x_time)
if tweet.text[0:4] == 'RT @': #retweet
rted_time.append(x_time)
try: #try to get original tweet time
original_time = tweet._json['retweeted_status']['created_at']
p = original_time.find('+')
time = original_time[4:p-1]+original_time[p+5:]
date = datetime.datetime.strptime(time, '%b %d %H:%M:%S %Y')
hour_orig = (24+date.hour-6)%24
orig_time = date.hour+date.minute/60
rt_orig_time.append(orig_time)
rt_delay.append((status_time.month-date.month)*30+abs(status_time.day-date.day)+abs(x_time-orig_time)/24)
except KeyError as ek:
print(str(ek)+", Can't find original retweet time! User: %s"%user_id)
continue
elif tweet.text[0] == '@': #reply
rp_time.append(x_time)
else:
ot_time.append(x_time) #original tweet
except EOFError: #Pickle reads to the end of the file
break
return profile, all_time, ot_time, rted_time, rt_orig_time, rp_time, rt_delay
filename = os.listdir("Data")
#select = np.random.choice(len(filename),40) #select parts of file to show
#for i in range(0,40):
for i in range(0,len(filename)):
user_id = filename[i]
(profile, all_time, ot_time, rted_time, rt_orig_time, rp_time, rt_delay) = sep_rtp(user_id)
if len(all_time) >= 500:
fig = plt.figure()
num_bins = 50
if len(all_time) != 0:
ax = fig.add_subplot(4,1,1)
ax.set_xlim([0,24])
n, bins, patches = ax.hist(all_time, 100, facecolor='green', alpha=0.5)
plt.title("User: %s, total_tweets: %s, time_zone: %s"%(profile['screen_name'],len(all_time),profile['time_zone']))
if len(rt_delay) != 0:
ax = fig.add_subplot(4,1,4)
n, bins, patches = ax.hist(rt_delay, 100, facecolor='green', alpha=0.5)
plt.title("Time delay.")
if len(ot_time) != 0:
ax1 = fig.add_subplot(4,2,3)
ax1.set_xlim([0,24])
n, bins, patches = ax1.hist(ot_time, num_bins, facecolor='green', alpha=0.5)
plt.title("Personal tweet time, #: %s"%(len(ot_time)))
if len(rp_time) != 0:
ax2 = fig.add_subplot(4,2,5)
ax2.set_xlim([0,24])
n, bins, patches = ax2.hist(rp_time, num_bins, facecolor='green', alpha=0.5)
plt.title("Rp time, #: %s"%(len(rp_time)))
if len(rted_time) != 0:
ax3 = fig.add_subplot(4,2,4)
ax3.set_xlim([0,24])
n, bins, patches = ax3.hist(rted_time, num_bins, facecolor='green', alpha=0.5)
plt.title("Rt time, #: %s"%(len(rted_time)))
if len(rt_orig_time) != 0:
ax4 = fig.add_subplot(4,2,6)
ax4.set_xlim([0,24])
n, bins, patches = ax4.hist(rt_orig_time, num_bins, facecolor='green', alpha=0.5)
plt.title("Original time of rt, #: %s"%(len(rt_orig_time)))
#mng = plt.get_current_fig_manager() #show full screen
#mng.full_screen_toggle()
fig.tight_layout()
plt.show()
else:
continue