Array Indexing, Slicing, and Filtering Arrays are ordered collections of data that are stored in contiguous memory locations. This means that they share...
Arrays are ordered collections of data that are stored in contiguous memory locations. This means that they share the same memory address, which can lead to faster access and manipulation.
Indexing allows you to access specific elements within an array using an integer index. This index corresponds to the position of the element in the array, starting from 0 for the first element.
python
arr = np.array([1, 2, 3, 4, 5])
index = 2
print(arr[index])
Slicing allows you to extract a subarray from the original array based on its indices. You can specify the start and end indices of the subarray, inclusive.
python
sub_arr = arr[1:3]
print(sub_arr)
Filtering allows you to create a new array containing only elements that meet a specific condition. This condition can be based on various mathematical and logical operators.
python
filtered_arr = arr[arr > 3]
print(filtered_arr)
These operations are commonly used together to perform complex data analysis tasks. For example, you could use slicing to extract a subarray of data, filter it to identify elements that meet a certain criteria, and then use this subarray for further analysis