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Legal Studies在 Python 中将日期时间的数组转换为字符串数组，并传递小时日期时间单位
要将日期时间数组转换为字符串数组，在 Python Numpy 中使用 numpy.datetime_as_string() 方法。此方法返回一个与输入数组形状相同的字符串数组。第一个参数是要格式化的 UTC 时间戳数组。“单位”参数设置要改变精度的日期时间单位。我们已传递小时单位
步骤
首先，导入所需的库 −
import numpy as np
创建一个日期时间数组。'M' 类型指定日期时间 −
arr = np.arange('2022-02-20T02:10', 6*60, 60, dtype='M8[m]')显示我们的数组 −
print("Array...\n",arr)获取数据类型：−
print("\nArray datatype...\n",arr.dtype)
获取数组的维度 −
print("\nArray Dimensions...\n",arr.ndim)获取数组的形状 −
print("\nOur Array Shape...\n",arr.shape)获取数组元素的数量 −
print("\nNumber of elements in the Array...\n",arr.size)要将日期时间数组转换为字符串数组，在 Python Numpy 中使用 numpy.datetime_as_string() 方法 −
print("\nResult...\n",np.datetime_as_string(arr, unit ='h'))
示例
import numpy as np
# Create an array of datetime
# The 'M' type specifies datetime
arr = np.arange('2022-02-20T02:10', 6*60, 60, dtype='M8[m]')
# Displaying our array
print("Array...\n",arr)
# Get the datatype
print("\nArray datatype...\n",arr.dtype)
# Get the dimensions of the Array
print("\nArray Dimensions...\n",arr.ndim)
# Get the shape of the Array
print("\nOur Array Shape...\n",arr.shape)
# Get the number of elements of the Array
print("\nNumber of elements in the Array...\n",arr.size)
# To convert an array of datetimes into an array of strings, use the numpy.datetime_as_string() method in Python Numpy
# The method returns an array of strings the same shape as the input array
# The first parameter is the array of UTC timestamps to format
# The "units" parameter sets the datetime unit to change the precision
# We have passed the hours unit
print("\nResult...\n",np.datetime_as_string(arr, unit ='h'))输出
Array... ['2022-02-20T02:10' '2022-02-20T03:10' '2022-02-20T04:10' '2022-02-20T05:10' '2022-02-20T06:10' '2022-02-20T07:10'] Array datatype... datetime64[m] Array Dimensions... 1 Our Array Shape... (6,) Number of elements in the Array... 6 Result... ['2022-02-20T02' '2022-02-20T03' '2022-02-20T04' '2022-02-20T05' '2022-02-20T06' '2022-02-20T07']
更新于： 28-Feb-2022
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