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Convert an array of datetimes into an array of strings 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
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]')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 −
print("\nResult...\n",np.datetime_as_string(arr))
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))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: 24-Feb-2022
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