def show_distribution():
r, l, c, a = load_data()
# print('register_user_id count')
# print(len(r))
#
# print('video_id count')
# print(len(a['video_id'].drop_duplicates()))
#
# print('author_id count')
# print(len(a['author_id'].drop_duplicates()))
#
# print('page')
# print('0:', len(a[a.page == 0]))
# print('1:', len(a[a.page == 1]))
# print('2:', len(a[a.page == 2]))
# print('3:', len(a[a.page == 3]))
# print('4:', len(a[a.page == 4]))
# print('>=5:', len(a[a.page >= 5]))
#
# print('action_type')
# print('0:', len(a[a.action_type == 0]))
# print('1:', len(a[a.action_type == 1]))
# print('2:', len(a[a.action_type == 2]))
# print('3:', len(a[a.action_type == 3]))
# print('4:', len(a[a.action_type == 4]))
# print('5:', len(a[a.action_type == 5]))
# print('>=6:', len(a[a.action_type >= 6]))
print(r.describe())
print(l.describe())
print(c.describe())
print(a.describe())
def preprocessing_24_6():
r, l, c, a = load_data()
# 将1到23天作为训练集
x_l = l[l.day < 25]
x_a = a[a.day < 25]
x_r = r[r.register_day < 25]
x_c = c[c.day < 25]
last_week_l_u = l[l.day >= 25]['user_id'].drop_duplicates().get_values()
author_id = list(a['author_id'].get_values())
x, y = [], []
for index in tqdm(x_r.index):
user_id = x_r.loc[index]['user_id']
v = vec(x_r.loc[index].get_values(),
x_l.loc[x_l.user_id == user_id].get_values(),
x_c.loc[x_c.user_id == user_id].get_values(),
x_a.loc[x_a.user_id == user_id].get_values(), author_id, 25)
# 根据最后7天中用户是否登录app，来判断是否都活跃用户，
# 仅凭判断user_id是否在launch_log中即可，不必判断另外两个log。
is_active = 1 if user_id in last_week_l_u else 0
x.append(v)
y.append(is_active)
x = np.array(x)
y = np.array(y)
np.save('../original_data/x_24_6', x)
np.save('../original_data/y_24_6', y)
print('x.shape:', x.shape)
print('y.shape:', y.shape)
:return: 最大连续数
"""
# 注意，默认输入的l是已经经过从小到大排序的
# 列表为空时，返回0
if len(l) == 0:
return 0
cons = np.ones(len(l), dtype=np.int64)
for i in range(len(l) - 1):
if l[i + 1] == (l[i] + 1):
cons[i + 1] = cons[i] + 1
return cons.max()
if __name__ == '__main__':
test_user_index = [1, 2, 3, 4, 5, 6, 7, 8]
r, l, c, a = load_data()
result = []
author_id = list(a['author_id'].get_values())
for index in test_user_index:
r_temp = r.loc[index].get_values()
l_temp = l[l.user_id == r.loc[index]['user_id']].get_values()
c_temp = c[c.user_id == r.loc[index]['user_id']].get_values()
a_temp = a[a.user_id == r.loc[index]['user_id']].get_values()
result.append(vec(r_temp, l_temp, c_temp, a_temp, author_id, 24))
print('result.shape:', result[0].shape)