# Convert an array of datetimes into an array of strings passing minutes datetime unit in Python

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']

Updated on: 28-Feb-2022

2K+ Views