def num_els(s):
    d=dict(Counter(s))
    if chr(39) in d.keys():

        return d[chr(39)]//2
    else:
        return 0
def isnyc(x):
    rez=0
    if x<=-50 and x>=-80:
        rez=3
    elif x<-80:
        rez=2
    else:
        rez=1
    return rez
def add_features(df):
    managers=df['manager_id']
    cnt=Counter(managers)
    d=dict(cnt)
    df['mns_rate']=df['manager_id'].apply(lambda x: d[x])
    df['dow'] = df['created'].apply(lambda x: datetime.datetime.strptime(x, '%Y-%m-%d %H:%M:%S').weekday())
    df['is_weekend'] = df['created'].apply(lambda x: 1 if datetime.datetime.strptime(x, '%Y-%m-%d %H:%M:%S').weekday() in (5, 6) else 0)
    #df['is_day'] = df['created'].apply(lambda x: 1 if datetime.datetime.strptime(x, '%Y-%m-%d %H:%M:%S').hour>11 and datetime.datetime.strptime(x, '%Y-%m-%d %H:%M:%S').hour< 20 else 0 )
    df['features_num']=df['features'].apply(lambda x: num_els(x))
    df['photos_num']=df['photos'].apply(lambda x: num_els(x))
    df['pr_per_brooms']=df['price']/(df['bedrooms']+df['bathrooms']+1)