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How to count the number of a particular entry. python


How to count the number of a particular entry. python

By : Payal Patel
Date : November 28 2020, 11:01 PM
will help you Im trying to count the "elite" key, the number of entry with "elite" key that is not empty. and then total the number of "elite" user. , Since your input data is in json format, I'd use
code :
import json

file = open("data/yelp_academic_dataset_checkin", "r")

for line in file:
    if json.loads(line)["elite"] != []:
        number_of_elite_user += 1
        return number_of_elite_user
import json

def count_lines():
    number_of_elite_user = 0
    with open("data/yelp_academic_dataset_checkin", "r") as input_file:
        for line in input_file:
            if json.loads(line)["elite"]:
                number_of_elite_user += 1
    return number_of_elite_user

print(count_lines())


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Count number of LIKE-matches per Entry

Count number of LIKE-matches per Entry


By : Jithin Mavelipadam
Date : March 29 2020, 07:55 AM
Hope this helps In MySQL, boolean expressions can be used as integers -- with 0 for false and 1 for true. So, the following works:
code :
SELECT p.*,
       ((name LIKE '%samsung%') + (name LIKE '%galaxy%') + (name LIKE '%s4%')) as hits
FROM   myprods p
WHERE  name LIKE '%samsung%' OR name LIKE '%galaxy%' OR name LIKE '%s4%';
SELECT p.*,
       ((name LIKE '%samsung%') + (name LIKE '%galaxy%') + (name LIKE '%s4%')) as hits
FROM   myprods p
HAVING hits > 0;
PostgreSQL: count number of occurrences of a value in a column using the last entry per day, per name

PostgreSQL: count number of occurrences of a value in a column using the last entry per day, per name


By : Aruns
Date : March 29 2020, 07:55 AM
Hope this helps SQL Fiddle
code :
select
    to_char(day, 'YYYY-MM-DD') as day,
    measurement as value,
    count(*) as count
from (
    select distinct on (1, name)
        date_trunc('day', time) as day, measurement
    from t
    order by 1, name, time desc
) s
group by 1, 2
order by 1, 2 desc
how to count number of files with a specific entry?

how to count number of files with a specific entry?


By : Mark
Date : March 29 2020, 07:55 AM
seems to work fine In my script i am using the following... , Try this:
How can I count the number of substring entry by using groupby

How can I count the number of substring entry by using groupby


By : Rajiv
Date : March 29 2020, 07:55 AM
this one helps. I'm starting with input data like this , Extract the domains using regex and then use groupby().size() i.e
code :
df['domains'] = df['email'].str.extract('@(.*?)\.',expand=False)

                                email country_code  domains
0          12345kinglobito94@hotmail.com           RU  hotmail
1         12345arturdyikan6211@gmail.com           RU    gmail
2  12345leonardosebastianld.20@gmail.com           PE    gmail
3           12345k23156876vs@hotmail.com           RU  hotmail
4             12345jhuillcag@hotmail.com           PE  hotmail
5        12345ergasovaskazon72@gmail.com           RU    gmail
6          12345myrzadaevajrat@gmail.com           RU    gmail
7              12345filomena@hotmail.com           BR  hotmail
8        12345jppicotajose20@hotmail.com           BR  hotmail

df.groupby(["country_code","domains"]).size()

country_code  domains
BR            hotmail    2
PE            gmail      1
              hotmail    1
RU            gmail      3
              hotmail    2
dtype: int64
df.groupby(["country_code",df['email'].str.extract('@(.*?)\.',expand=False)]).size()
How to get count of number of rows where one of the columns entry is the same

How to get count of number of rows where one of the columns entry is the same


By : December Villanueva
Date : March 29 2020, 07:55 AM
may help you . You can use a GroupBy statement for this to group by a value of your items, and then Select the result you want from it:
code :
var result = await db.Model
        .GroupBy(x => x.Age)
        .Select(g => new {
            Age = g.Key, 
            Count = g.Count(),
        })
        .ToListAsync();
var result = await db.Model
        .GroupBy(x => x.Age)
        .Select(g => g.Count())
        .ToListAsync();
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