pandas - read_excel efficiency on multiple large sheets
I have an Excel workbook with multiple sheets. Some contain lots of data (f.e. 6000000 cells), and some do not. I'm attempting to read one of the sheets that's significantly smaller, a simple 2 column - 500 row sheet using the following line of code:
df = pd.read_excel('C:/Data.xlsx', sheetname='Contracts')
However, this read takes an incredible amount of time, whereas the sheet standalone in an Excel does not. Is there a reason for this?
python excel pandas
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
add a comment |
I have an Excel workbook with multiple sheets. Some contain lots of data (f.e. 6000000 cells), and some do not. I'm attempting to read one of the sheets that's significantly smaller, a simple 2 column - 500 row sheet using the following line of code:
df = pd.read_excel('C:/Data.xlsx', sheetname='Contracts')
However, this read takes an incredible amount of time, whereas the sheet standalone in an Excel does not. Is there a reason for this?
python excel pandas
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
add a comment |
I have an Excel workbook with multiple sheets. Some contain lots of data (f.e. 6000000 cells), and some do not. I'm attempting to read one of the sheets that's significantly smaller, a simple 2 column - 500 row sheet using the following line of code:
df = pd.read_excel('C:/Data.xlsx', sheetname='Contracts')
However, this read takes an incredible amount of time, whereas the sheet standalone in an Excel does not. Is there a reason for this?
python excel pandas
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
I have an Excel workbook with multiple sheets. Some contain lots of data (f.e. 6000000 cells), and some do not. I'm attempting to read one of the sheets that's significantly smaller, a simple 2 column - 500 row sheet using the following line of code:
df = pd.read_excel('C:/Data.xlsx', sheetname='Contracts')
However, this read takes an incredible amount of time, whereas the sheet standalone in an Excel does not. Is there a reason for this?
python excel pandas
python excel pandas
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
edited Nov 28 '18 at 0:08
Évariste Galois
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
asked Nov 27 '18 at 23:21
Évariste GaloisÉvariste Galois
347213
347213
add a comment |
add a comment |
1 Answer
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I tried to look at the API to help on how the function works for processing it but didn't come up with anything big. Few things of note:
1) assuming you are using 0.21.0 on wards you want to use sheet_name instead of sheet name
2) according to: https://realpython.com/working-with-large-excel-files-in-pandas/ the speed of pandas process directly correlates to your system ram.
3) the read_excel function opens the entire excel file and then selects the specific sheet making you load those super long sheets as well. You can test for this by just making the short sheet into a separate excel file and then running the read_excel on your new file.
Hope this helps
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I tried to look at the API to help on how the function works for processing it but didn't come up with anything big. Few things of note:
1) assuming you are using 0.21.0 on wards you want to use sheet_name instead of sheet name
2) according to: https://realpython.com/working-with-large-excel-files-in-pandas/ the speed of pandas process directly correlates to your system ram.
3) the read_excel function opens the entire excel file and then selects the specific sheet making you load those super long sheets as well. You can test for this by just making the short sheet into a separate excel file and then running the read_excel on your new file.
Hope this helps
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
add a comment |
I tried to look at the API to help on how the function works for processing it but didn't come up with anything big. Few things of note:
1) assuming you are using 0.21.0 on wards you want to use sheet_name instead of sheet name
2) according to: https://realpython.com/working-with-large-excel-files-in-pandas/ the speed of pandas process directly correlates to your system ram.
3) the read_excel function opens the entire excel file and then selects the specific sheet making you load those super long sheets as well. You can test for this by just making the short sheet into a separate excel file and then running the read_excel on your new file.
Hope this helps
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
add a comment |
I tried to look at the API to help on how the function works for processing it but didn't come up with anything big. Few things of note:
1) assuming you are using 0.21.0 on wards you want to use sheet_name instead of sheet name
2) according to: https://realpython.com/working-with-large-excel-files-in-pandas/ the speed of pandas process directly correlates to your system ram.
3) the read_excel function opens the entire excel file and then selects the specific sheet making you load those super long sheets as well. You can test for this by just making the short sheet into a separate excel file and then running the read_excel on your new file.
Hope this helps
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
I tried to look at the API to help on how the function works for processing it but didn't come up with anything big. Few things of note:
1) assuming you are using 0.21.0 on wards you want to use sheet_name instead of sheet name
2) according to: https://realpython.com/working-with-large-excel-files-in-pandas/ the speed of pandas process directly correlates to your system ram.
3) the read_excel function opens the entire excel file and then selects the specific sheet making you load those super long sheets as well. You can test for this by just making the short sheet into a separate excel file and then running the read_excel on your new file.
Hope this helps
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
answered Nov 28 '18 at 2:51
Jay PatelJay Patel
261
261
add a comment |
add a comment |
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