The data is a little messy and this could definitely do with cleaning up to be more efficient but as a hacky way of getting what you need this should do the trick:
from prettytable import PrettyTable
x = PrettyTable()
data = [' Date Jan 31 Jan 30 Jan 29 Jan 28 Jan 27 Jan 26 Jan 25 Jan 24 Jan 23 Jan 22 ', ' ID1 6 7 6 7 7 7 5 7 7 7 ', ' ID2 6 6 4 6 7 5 6 7 5 6 ', ' ID3 6 7 6 5 6 7 6 2 7 5 ', ' ID4 4 5 3 6 7 5 7 7 7 5 ', ' ID5 0 0 0 0 0 0 0 0 0 0 ', ' ID6 0 0 0 0 0 0 0 0 0 0 ', ' ID7 0 0 0 0 0 0 0 0 0 0 ']
clean_data = []
header_list = []
for row in data:
clean_data.append(row.strip().split()) # iterate through original list and remove spaces from outer items then split by spaces
data_to_merge = clean_data[0] # get first row from clean list
data_to_merge = data_to_merge[1:] # remove date from list
alternate_join = map(' '.join, zip(data_to_merge[::2], data_to_merge[1::2])) # join alternately to get Jan 31, Jan 30 etc rather than Jan, 31, Jan, 30
converted_to_list = list(alternate_join) # convert map to list
converted_to_list.insert(0, clean_data[0][0]) # put the date header item back in the beginning of the list
x.field_names = converted_to_list # add the field names to PrettyTable
x.add_rows(clean_data[1:]) # add the rows to PrettyTable
print(x) # Done!
# +------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
# | Date | Jan 31 | Jan 30 | Jan 29 | Jan 28 | Jan 27 | Jan 26 | Jan 25 | Jan 24 | Jan 23 | Jan 22 |
# +------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
# | ID1 | 6 | 7 | 6 | 7 | 7 | 7 | 5 | 7 | 7 | 7 |
# | ID2 | 6 | 6 | 4 | 6 | 7 | 5 | 6 | 7 | 5 | 6 |
# | ID3 | 6 | 7 | 6 | 5 | 6 | 7 | 6 | 2 | 7 | 5 |
# | ID4 | 4 | 5 | 3 | 6 | 7 | 5 | 7 | 7 | 7 | 5 |
# | ID5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# | ID6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# | ID7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# +------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
['Date', 'Jan 31', 'Jan 30' ... 'Jan 22']and I could not find a solution yet.