I\'m currently using pandas to read an Excel file and present its sheet names to the user, so he can select which sheet he would like to use. The problem is that the files a
From my research with the standard / popular libs this hasn't been implemented as of 2020 for xlsx
/ xls
but you can do this for xlsb
. Either way these solutions should give you vast performance improvements. for xls
, xlsx
, xlsb
.
Below was benchmarked on a ~10Mb xlsx
, xlsb
file.
xlsx, xls
from openpyxl import load_workbook
def get_sheetnames_xlsx(filepath):
wb = load_workbook(filepath, read_only=True, keep_links=False)
return wb.sheetnames
Benchmarks: ~ 14x speed improvement
# get_sheetnames_xlsx vs pd.read_excel
225 ms ± 6.21 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
3.25 s ± 140 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
xlsb
from pyxlsb import open_workbook
def get_sheetnames_xlsb(filepath):
with open_workbook(filepath) as wb:
return wb.sheets
Benchmarks: ~ 56x speed improvement
# get_sheetnames_xlsb vs pd.read_excel
96.4 ms ± 1.61 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
5.36 s ± 162 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
Notes:
xlrd
is no longer maintained as of 2020