要将日期时间数组转换为字符串数组，请使用Python Numpy 中的方法，该方法返回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。“units”参数设置日期时间单位来改变精度。numpy.datetime_as_string()
脚步
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]')要将日期时间数组转换为字符串数组，请使用Python Numpy 中的方法 -numpy.datetime_as_string()
print("\nResult...\n",np.datetime_as_string(arr, unit ='m'))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
print("\nResult...\n",np.datetime_as_string(arr, unit ='m'))输出结果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... ['2022-02-20T02:10' '2022-02-20T03:10' '2022-02-20T04:10' '2022-02-20T05:10' '2022-02-20T06:10' '2022-02-20T07:10']
