4.2.1.8.1. reStructuredText CSV Table¶
RstCsvTableWriter
class can write a table with reStructuredText CSV table format to the stream
from a data matrix.
- Sample Code:
- Write a reStructuredText CSV table¶
import pytablewriter def main(): writer = pytablewriter.RstCsvTableWriter() writer.table_name = "example_table" writer.headers = ["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() if __name__ == "__main__": main()
- 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