def main():
# sample data definitions
dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
data_matrix = [
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[3, 3.33, "cccc", -3, "ccc", "true", inf,
"NAN", "2017-01-01T01:23:45+0900"],
]
# extract property for each column from a matrix
dp_extractor = DataPropertyExtractor()
dp_extractor.header_list = [
"int", "float", "str", "num", "mix", "bool", "inf", "nan", "time"]
dp_extractor.data_matrix = data_matrix
col_dp_list = dp_extractor.to_col_dataproperty_list()
print("---------- typename ----------")
print([Typecode.get_typename(dp.typecode) for dp in col_dp_list])
display_col_dp(col_dp_list, "align")
display_col_dp(col_dp_list, "ascii_char_width")
display_col_dp(col_dp_list, "decimal_places")
return 0
def main():
# sample data definitions
dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
# extract data property for each element from a matrix
dp_extractor = DataPropertyExtractor()
dp_extractor.data_matrix = [
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[3, 3.33, "cccc", -3, "ccc", "true", inf,
"NAN", "2017-01-01T01:23:45+0900"],
]
dp_matrix = dp_extractor.to_dataproperty_matrix()
print("---------- typename ----------")
for dp_list in dp_matrix:
print([Typecode.get_typename(dp.typecode) for dp in dp_list])
display_dp_matrix_attr(dp_matrix, "data")
display_dp_matrix_attr(dp_matrix, "align")
display_dp_matrix_attr(dp_matrix, "length")
display_dp_matrix_attr(dp_matrix, "integer_digits")
display_dp_matrix_attr(dp_matrix, "decimal_places")
return 0