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.
Steps
At first, import the required library −
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]')
To convert an array of datetimes into an array of strings, use the numpy.datetime_as_string() method in Python Numpy −
print("\nResult...\n",np.datetime_as_string(arr, unit ='m'))
Example
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'))
Output
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']