4.2.11.2. NumPy array

NumpyTableWriter class can write a variable definition of numpy.array to the stream from a matrix of data.

Sample Code:
Write a NumPy array definition
import pytablewriter

writer = pytablewriter.NumpyTableWriter()
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:
example_table = np.array([
    ["int", "float", "str", "bool", "mix", "time"],
    [0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
    [2, -2.23, "foo", False, None, "2017-12-23 12:34:51+0900"],
    [3, 0, "bar", True, np.inf, "2017-03-03 22:44:55+0900"],
    [-10, -9.9, "", False, np.nan, "2017-01-01 00:00:00+0900"],
])