# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dateutil.relativedelta import relativedelta
from datetime import datetime
from datetime import timedelta
import time
weekSet = []
from src.logger_setting.my_logger import get_logger
logger = get_logger()
def get_week_day(date):
week = datetime.strptime(date, "%Y%m%d").weekday()
return week
def add_days(date, num):
return (datetime.strptime(date, "%Y%m%d") +
timedelta(days=num)).strftime("%Y%m%d")
def add_months(date, num):
return (datetime.strptime(date, "%Y%m%d") +
relativedelta(months=num)).strftime("%Y%m%d")
# limitations under the License.
import os
import time
from typing import Dict, List
import numpy as np
import pandas as pd
from collections import Counter
from src.compress import compress
# 日志器
from src.logger_setting.my_logger import get_logger
from src.setting import setting
LOGGER = get_logger()
def groupby_calc(df):
df['esn'] = df['esn'].astype('str')
df = df.groupby(['esn'])
return df
def calc_total(series):
series = series.values
count = 0
for d in range(len(series)):
if d < len(series) - 1:
if pd.isna(series[d]) or pd.isna(series[d + 1]):
continue