我正在寻找一种方法来检查 numpy 数组是否为np.float64或np.float32。这适用于np.float64：
a = np.random.rand(10)
if not issubclass(a.dtype.type, np.float):
raise "Wrong type" # No exception is raised for np.float64
但失败了np.float32：
a = np.random.rand(10).astype(np.float32)
if not issubclass(a.dtype.type, np.float):
raise "Wrong type" # An exception is raised!
我有以下一组 OHLC 数据：
[[datetime.datetime(2020, 7, 1, 6, 30), '0.00013449', '0.00013866', '0.00013440', '0.00013857', '430864.00000000', 1593579599999, '59.09906346', 1885, '208801.00000000', '28.63104974', '0', 3.0336828016952944], [datetime.datetime(2020, 7, 1, 7, 0), '0.00013854', '0.00013887', '0.00013767', '0.00013851', '162518.00000000', 1593581399999, '22.48036621', 809, '78014.00000000', '10.79595625', '0', -0.02165439584236435], [datetime.datetime(2020, 7, 1, 7, 30), '0.00013851', '0.00013890', '0.00013664', '0.00013780', '313823.00000000', 1593583199999, '43.21919087', 1077, '157083.00000000', '21.62390537', '0', -0.5125983683488642], [datetime.datetime(2020, 7, 1, 8, 0), '0.00013771', '0.00013818', '0.00013654', '0.00013707', '126925.00000000', 1593584999999, '17.44448931', 428, '56767.00000000', '7.79977280', '0', -0.46474475346744676], [datetime.datetime(2020, 7, 1, 8, 30), '0.00013712', '0.00013776', '0.00013656', '0.00013757', …