需要在python中找到表的memory大小

Question

I need to find the memory size of the table using Python. I have used this command:

memory_size = self.df.memory_usage(deep=True).sum()

and I got the result of "37718821". I'm not sure which units the value is in.for example, KB or MB.

For the same table, I got the memory size in SQL, which is "19.757812 MB", I am so confused.

Please help me to get the memory size of the specific data frame in MB using Python.

Response for the replayed answer:

memory_size = self.df.memory_usage(deep=True).sum()
memory_size_mb = memory_size / (1024 * 1024)

I used the above command I got the answer as 35.97147083282 MB, but while checking the same table size in SQL using this command.

SELECT   
o.name AS [table name],
sum(p.reserved_page_count) * 8.0 / 1024  AS [size_in_mb],
p.row_count AS [records]
FROM  
sys.dm_db_partition_stats AS p,
sys.objects AS o
WHERE   
p.object_id = o.object_id
AND o.is_ms_shipped = 0 
GROUP BY o.name , p.row_count
ORDER BY o.name DESC

I got the size as 19.757812 MB

I am confused

Which is Correct?

Thanks Manoranjini

Answer 1

The value you're getting from the memory_usage() method is in bytes. To convert it to megabytes, you can divide it by 1,048,576 (which is 2^20, the number of bytes in a megabyte). Here's an example of how you could do the conversion:

memory_size_mb = memory_size / (1024 * 1024)
print(memory_size_mb, "MB")