def build_X_y(acount_name):
fourNumControler = FourNumControler(acount_name)
X = []
y = []
labels = range(0, 500, 100)
print(len(labels))
def make_class(num, labels):
for index, label in enumerate(labels):
if num < label:
return index
return len(labels)
for four_num in fourNumControler.load_four_num():
tweets = four_num[1]
following = four_num[2]
followers = four_num[3]
favorites = four_num[4]
X.append([tweets, following, favorites])
followers_labeled = make_class(followers, labels)
print(followers_labeled)
y.append(followers_labeled)
return X, y, ["tweets", "following", "favorites"]
def checkFourNumDataBank(acount_name):
acountPickleControler = FourNumControler(acount_name)
count = 0
for i in acountPickleControler.load_four_num():
print(i)
count += 1
print(count)
def build_X(self):
"""
return two data
X and ["tweets", "following", "follower", "favorites"]
"""
fourNumControler = FourNumControler(self.acount_name)
X = []
def make_class(num, labels):
for index, label in enumerate( labels ):
if num < label:
return index
return len(labels)
for four_num in fourNumControler.load_four_num():
tweets = four_num[1]
following = four_num[2]
followers = four_num[3]
favorites = four_num[4]
X.append( [tweets, following, followers, favorites] )
return X, ["tweets", "following", "follower", "favorites"]
import pickle
import pprint
from queue import Queue
import traceback
Data = []
acount_name = "@viser0322"
q = Queue()
acountPickleControler = AcountPickleControler(acount_name)
for atmark_code in acountPickleControler.load_acount_database():
q.put(atmark_code)
fourNumControler = FourNumControler(acount_name)
while not q.empty():
atmark = q.get()
try:
four_num_and_atmarkcode = []
four_num_and_atmarkcode.append(atmark)
four_num_and_atmarkcode.extend(get_four_number_sleep1(atmark))
print(four_num_and_atmarkcode)
Data.append(four_num_and_atmarkcode)
time.sleep(random.randint(0, 1))
except KeyboardInterrupt:
break
except:
q.put(atmark)
fourNumControler.dump_four_num(Data)
from PickledDataBank.PickleControler import FourNumControler
from pprint import pprint
import numpy as np
from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
from sklearn.cross_validation import train_test_split
from sklearn.ensemble import RandomForestClassifier
acount_name = "@kuromailserver_1"
fourNumControler = FourNumControler(acount_name)
oppi_data = fourNumControler.load_clear_acount_database()
a_to_z = "abcdefghijklnmopqrstuvwxyz"
def get_a_to_z_num(string):
row = []
for char in a_to_z:
row.append( string.count(char) )
return row
X = []
y = []
for i, row in enumerate( oppi_data ):
acount = row[0]
X.append( get_a_to_z_num(acount) )