Thanks to panda, we could read a whole sheet into a data frame with the "read_excel" function.
I would like to use the same method using xlwings. In fact, my Workbook is already open and I don't want to use read_excel function (witch will take too long to execute by the way) but use the power of xlwings to save into a dataframe a whole sheet.
In fact with xlwings we could save a range into a dataframe. That mean I have to known the range size. But I guess there is a better (and quicker !) way to do that, isn't it ?
Do you have some ideas to do that ? Thanks a lot !
Edit : One exemple of one sheet I would like to transfer into a dataframe as read_excel would do it.
Name Point Time Power Test1 Test2 Test3 Test4 ##
Test 0 1 10 4 24 144
2 20 8 48 288
3 30 12 72 432
4 40 16 96 576
5 50 20 120 720
6 60 24 144 864
7 70 28 168 1008
8 80 32 192 1152
9 90 36 216 1296
10 100 40 240 1440
11 110 44 264 1584
12 120 48 288 1728
You can use built-in converters to bring it in one line:
df = sht.range('A1').options(pd.DataFrame,
header=1,
index=False,
expand='table').value