4.2.10.1. reStructuredText CSV Table

RstCsvTableWriter class can writes a table with reStructuredText CSV table format to the stream from a matrix of data.

Sample Code:
Write a reStructuredText CSV table
import pytablewriter

writer = pytablewriter.RstCsvTableWriter()
writer.table_name = "example_table"
writer.header_list = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
    [0,   0.1,      "hoge", True,   0,      "2017-01-01 03:04:05+0900"],
    [2,   "-2.23",  "foo",  False,  None,   "2017-12-23 45:01:23+0900"],
    [3,   0,        "bar",  "true",  "inf", "2017-03-03 33:44:55+0900"],
    [-10, -9.9,     "",     "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

writer.write_table()
Output:
.. csv-table:: example_table
    :header: "int", "float", "str", "bool", "mix", "time"
    :widths: 5, 7, 6, 6, 8, 26

    0, 0.10, "hoge", True, 0, "2017-01-01 03:04:05+0900"
    2, -2.23, "foo", False, , "2017-12-23 12:34:51+0900"
    3, 0.00, "bar", True, Infinity, "2017-03-03 22:44:55+0900"
    -10, -9.90, , False, NaN, "2017-01-01 00:00:00+0900"
Rendering Result:
 
example_table
int float str bool mix time
0 0.10 hoge True 0 2017-01-01 03:04:05+0900
2 -2.23 foo False   2017-12-23 12:34:51+0900
3 0.00 bar True Infinity 2017-03-03 22:44:55+0900
-10 -9.90   False NaN 2017-01-01 00:00:00+0900