I'm looking to add a footer to my PrettyTable, totalling the data stored in the rows above. I've created a count in the script, but I'd like to add this into the table.
The code I have to create the table below is as follows (.add_row is in a loop):
outTbl = PrettyTable(["Projects", "Number"])
outTbl.add_row([eachProj, count])
...which generates a table looking like this:
+--------------------------+-----------+
| Projects | Number |
+--------------------------+-----------+
| Project A | 5 |
| Project B | 9 |
| Project C | 8 |
| Project D | 2 |
+--------------------------+-----------+
...but I'm looking for the functionality to create the above table with a summary footer at the bottom:
+--------------------------+-----------+
| Projects | Number |
+--------------------------+-----------+
| Project A | 5 |
| Project B | 9 |
| Project C | 8 |
| Project D | 2 |
+--------------------------+-----------+
| Total | 24 |
+--------------------------+-----------+
I've searched the module docs online: PrettyTable tutorial, Google prettytable - Tutorial and can't see any reference to a footer, which I find surprising given header is one. Can this be done in PrettyTable, or is there another Python module with this functionality anyone can recommend?
You can use texttable with small hack around it:
import texttable
table = texttable.Texttable()
table.add_rows([['Projects', 'Number'],
['Project A\nProject B\nProject C\nProject D', '5\n9\n8\n2'],
['Total', 24]])
print(table.draw())
Output:
+-----------+--------+
| Projects | Number |
+===========+========+
| Project A | 5 |
| Project B | 9 |
| Project C | 8 |
| Project D | 2 |
+-----------+--------+
| Total | 24 |
+-----------+--------+
prettytable has supported footer by passing divider=True to add_row().
Here is an example from https://pypi.org/project/prettytable/
code:
x = PrettyTable()
x.field_names = ["City name", "Area", "Population", "Annual Rainfall"]
x.add_row(["Adelaide", 1295, 1158259, 600.5])
x.add_row(["Brisbane", 5905, 1857594, 1146.4])
x.add_row(["Darwin", 112, 120900, 1714.7])
x.add_row(["Hobart", 1357, 205556, 619.5], divider=True)
x.add_row(["Melbourne", 1566, 3806092, 646.9])
x.add_row(["Perth", 5386, 1554769, 869.4])
x.add_row(["Sydney", 2058, 4336374, 1214.8])
output:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
+-----------+------+------------+-----------------+
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
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