Glossary
Below is the summary of all the functions and methods that you learned in this lesson:
Category: General Purpose
| Function/Method | Description |
|---|
numpy.ndarray.dtype | Return the data-type of the elements of the array. Remember, arrays are homogeneous. |
numpy.ndarray.ndim | Return the number of array-dimensions (rank), e.g., it will return 2 for a 4×3 array. |
numpy.ndarray.shape | Return a tuple representing the array dimensions, e.g., it will return (rows,columns) for a rank 2 array. |
numpy.ndarray.size | Return the number of elements present in the array. |
numpy.save | Save an array to .npy (numpy) format. |
numpy.load | Load array from the .npy files. |
numpy.random.random | Return random floats values from the interval [0.0, 1.0), in a specified shape. |
numpy.random.randint | Return random integers from the half-open interval [a, b), in a specified shape. |
numpy.random.normal | Return random samples from a Gaussian (normal) distribution. |
numpy.random.permutation | Return a randomly permuted sequence from the given list |
numpy.reshape numpy.ndarray.reshape | Returns an array containing the same elements with a new shape, without affecting the the original array. |
Category: Array Creation
| Function/Method | Description |
|---|
numpy.ones | Return a new array of given shape and type, filled with 1s. |
numpy.zeros | Return a new array of given shape and type, filled with 0s. |
numpy.full | Return a new array of given shape and type, filled with a specific value. |
numpy.eye | Return a 2-D array with 1s on the diagonal and 0s elsewhere. |
numpy.diag | Extract the diagonal elements. |
numpy.unique | Return the sorted unique elements of an array. |
numpy.array | Create an n-dimensional array. |
numpy.arange | Return evenly spaced values within a given half-open interval [a, b). |
numpy.linspace | Return evenly spaced numbers over a specified interval [a,b]. |
numpy.ndarray.copy | Returns a copy of the array. |
Category: Operating with Elements and Indices
| Function/Method | Description |
|---|
numpy.insert | Insert values along the given axis before the specified indices. |
numpy.delete | Return a new array, after deleting sub-arrays along a specified axis. |
numpy.append | Append values at the end of the specified array. |
numpy.hstack | Return a stacked array formed by stacking the given arrays in sequence horizontally (column-wise). |
numpy.vstack | Return a stacked array formed by stacking the given arrays, will be at least 2-D, in sequence vertically (row-wise). |
numpy.sort | Return a sorted copy of an array. |
numpy.ndarray.sort | Sort an array in-place. |
Category: Set Operations
| Function/Method | Description |
|---|
numpy.intersect1d | Find the intersection of two arrays. |
numpy.setdiff1d | Find the set difference of two arrays. |
numpy.union1d | Return the unique, sorted array of values that are in either of the two input arrays. |
Category: Arithmetic and Statistical Operations