pandas.read_html() is taking too long to return the list of tables lately, if the html size is > 5 mb
pandas.read_html() is taking too long to return the list of tables lately, if the html size is > 5 mb. if there are only a couple of tables pd.read_html() return the list instantly but if has 10 tables then its taking forever. this was never a problem before. i built my entire project based on this. and now everything's a bust because somewhere something blew up internally and no one seems to be bothered. I cannot give any data( confidential else i wouldn't have a problem and am unable to find any websites hat have multiple tables(>5) in a single page. There are either one or two tables or images of the tables.) to duplicate the code but can explain how to recreate it.
import pandas as pd
file=r'_path_to_html_file' # this file should be a large (>5 mb with mutliple tables >5)
#else the problem wont be triggered
tables=pd.read_html(file)
# this will return a list within a second usually a couple of months ago when i finished my project.
#but of late it takes forever(>30-40 minutes for a 16 mb html file) to do so.
python html pandas
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
|
show 1 more comment
pandas.read_html() is taking too long to return the list of tables lately, if the html size is > 5 mb. if there are only a couple of tables pd.read_html() return the list instantly but if has 10 tables then its taking forever. this was never a problem before. i built my entire project based on this. and now everything's a bust because somewhere something blew up internally and no one seems to be bothered. I cannot give any data( confidential else i wouldn't have a problem and am unable to find any websites hat have multiple tables(>5) in a single page. There are either one or two tables or images of the tables.) to duplicate the code but can explain how to recreate it.
import pandas as pd
file=r'_path_to_html_file' # this file should be a large (>5 mb with mutliple tables >5)
#else the problem wont be triggered
tables=pd.read_html(file)
# this will return a list within a second usually a couple of months ago when i finished my project.
#but of late it takes forever(>30-40 minutes for a 16 mb html file) to do so.
python html pandas
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
I have html file of 5 MB with[13895 rows x 13 columns]it takes only minute to process?
– pygo
Nov 26 '18 at 4:01
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59
|
show 1 more comment
pandas.read_html() is taking too long to return the list of tables lately, if the html size is > 5 mb. if there are only a couple of tables pd.read_html() return the list instantly but if has 10 tables then its taking forever. this was never a problem before. i built my entire project based on this. and now everything's a bust because somewhere something blew up internally and no one seems to be bothered. I cannot give any data( confidential else i wouldn't have a problem and am unable to find any websites hat have multiple tables(>5) in a single page. There are either one or two tables or images of the tables.) to duplicate the code but can explain how to recreate it.
import pandas as pd
file=r'_path_to_html_file' # this file should be a large (>5 mb with mutliple tables >5)
#else the problem wont be triggered
tables=pd.read_html(file)
# this will return a list within a second usually a couple of months ago when i finished my project.
#but of late it takes forever(>30-40 minutes for a 16 mb html file) to do so.
python html pandas
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
pandas.read_html() is taking too long to return the list of tables lately, if the html size is > 5 mb. if there are only a couple of tables pd.read_html() return the list instantly but if has 10 tables then its taking forever. this was never a problem before. i built my entire project based on this. and now everything's a bust because somewhere something blew up internally and no one seems to be bothered. I cannot give any data( confidential else i wouldn't have a problem and am unable to find any websites hat have multiple tables(>5) in a single page. There are either one or two tables or images of the tables.) to duplicate the code but can explain how to recreate it.
import pandas as pd
file=r'_path_to_html_file' # this file should be a large (>5 mb with mutliple tables >5)
#else the problem wont be triggered
tables=pd.read_html(file)
# this will return a list within a second usually a couple of months ago when i finished my project.
#but of late it takes forever(>30-40 minutes for a 16 mb html file) to do so.
python html pandas
python html pandas
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
asked Nov 26 '18 at 2:58
venkat.gmrit05venkat.gmrit05
11
11
Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
I have html file of 5 MB with[13895 rows x 13 columns]it takes only minute to process?
– pygo
Nov 26 '18 at 4:01
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59
|
show 1 more comment
Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
I have html file of 5 MB with[13895 rows x 13 columns]it takes only minute to process?
– pygo
Nov 26 '18 at 4:01
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59
Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
I have html file of 5 MB with
[13895 rows x 13 columns] it takes only minute to process?– pygo
Nov 26 '18 at 4:01
I have html file of 5 MB with
[13895 rows x 13 columns] it takes only minute to process?– pygo
Nov 26 '18 at 4:01
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59
|
show 1 more comment
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Use selenium to web scraping that is much faster..
– min2bro
Nov 26 '18 at 3:39
What is the size of Memory on the system you running this operation?
– pygo
Nov 26 '18 at 3:54
I have html file of 5 MB with
[13895 rows x 13 columns]it takes only minute to process?– pygo
Nov 26 '18 at 4:01
@min2bro will try. although i found another way around the problem. Thank you.
– venkat.gmrit05
Nov 26 '18 at 7:58
@pygo its runnig on an 8 gb machine. even when it was runnign fast it was the same system.
– venkat.gmrit05
Nov 26 '18 at 7:59