我喜欢熊猫, 请帮助解决下一个问题:
(datetime.datetime(2020, 12, 1, 0, 0), 'ECS446_FSL_969_D01_F41', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60', '60'), **...**)
列“0”…“59”是以小时为单位的分钟('DataTime'),其值为“TagName”。 是否进行了下一次转换:
df1 = pd.DataFrame(result2, columns=['DataTime', 'TagName', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59'])
df1 = df1.pivot(index='TagName', columns= 'DataTime', values=['0', '1', '2', '3', '4', '5', '6', '7', '8', '9','10', '11', '12', '13', '14', '15', '16', '17', '18', '19','20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49','50', '51', '52', '53', '54', '55', '56', '57', '58', '59'])
df1 = df1.T
df1 = df1.sort_values('DataTime')
结果是:
使用:
首先通过^{} 取消Pivot,通过^{} 将分钟数添加到datetimes,最后一次旋转:
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