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NumPy - 2.1
- np.array()
- np.asarray()
- np.zeros()
- np.ones()
- np.empty()
- np.arange()
- np.linspace()
- np.eye()
- np.full()
- np.fromfunction()
- np.empty_like()
- np.identity()
- np.ones_like()
- np.zeros_like()
- np.full_like()
- np.frombuffer()
- np.from_dlpack()
- np.fromfile()
- np.fromiter()
- np.fromstring()
- np.loadtxt()
- np.rec.array()
- np.logspace()
- np.geomspace()
- np.meshgrid()
- np.mgrid()
- np.ogrid()
- np.diag()
- np.diagflat()
- np.tri()
- np.tril()
- np.triu()
- np.vander()
Creation of NumPy Arrays
From existing data-
| Method | Description |
|---|---|
| np.array (object, dtype=None, *, copy=True, order='K', subok=False, ndmin=0, like=None) | Create an array from that data passed to object. |
| np.asarray (a, dtype=None, order='K', *, device=None, copy=True, like=None) | Create an array from the data passed to a. |
| np.frombuffer (buffer, dtype=np.float64, count=-1, offset=0, *, like=None) | Interpret a buffer as a 1-dimensional array. |
| np.from_dlpack (x, /, *, device=None, copy=None) | Create a NumPy array from an object implementing the __dlpack__ protocol. |
| np.fromfile (file, dtype=np.float64, count=-1, sep='', offset=0, *, like=None) | Construct an array from data in a text or binary file. |
| np.fromfunction (function, shape, *, dtype=np.float64, like=None) | Construct an array by executing a function over each coordinate. |
| np.fromiter (iter, dtype, count=-1, *, like=None) | Create a new 1-dimensional array from an iterable object. |
| np.fromstring (string, dtype=np.float64, count=-1, *, sep, like=None) | A new 1-D array initialized from text data in a string. |
| np.loadtxt (fname, dtype=np.float64, comments='#', delimiter=' ', converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding=None, max_rows=None, *, quotechar=None, like=None) | Load data from a text file. |
From shape or value-
| Method | Description |
|---|---|
| np.empty (shape, dtype=np.float64, order='C', *, device=None, like=None) | Return a new array of given shape and type, without initializing entries. |
| np.zeros (shape, dtype=np.float64, order='C', *, like=None) | Creates a array of the entered shape filled with zeros. |
| np.ones (shape, dtype=np.float64, order='C', *, like=None) | Creates a array of the entered shape filled with ones. |
| np.eye (N, M=None, k=0, dtype=np.float64, order='C', *, device=None, like=None) | Return a 2-D array with ones on the diagonal and zeros elsewhere. |
| np.identity (n, dtype=np.float64, *, like=None) | Return the identity array. |
| np.full (shape, fill_value, dtype=None, order='C', *, device=None, like=None) | Return a new array of given shape and type, filled with fill_value. |
| np.empty_like (prototype, dtype=None, order='K', subok=True, shape=None, *, device=None) | Return a new array with the same shape and type as a given array. |
| np.zeros_like (a, dtype=None, order='K', subok=True, shape=None, *, device=None) | Return an array of zeros with the same shape and type as a given array.Return an array of zeros with the same shape and type as a given array. |
| np.ones_like (a, dtype=None, order='K', subok=True, shape=None, *, device=None) | Return an array of ones with the same shape and type as a given array. |
| np.full_like (a, fill_value, dtype=None, order='K', subok=True, shape=None, *, device=None) | Return a full array with the same shape and type as a given array. |
From record arrays-
| Method | Description |
|---|---|
| np.rec.array (obj, dtype=None, shape=None, offset=0, strides=None, formats=None, names=None, titles=None, aligned=False, byteorder=None, copy=True) | Construct a record array from a wide-variety of objects. |
From ranges-
| Method | Description |
|---|---|
| np.arange ([start, ]stop,[step, ]dtype=None, *, device=None, like=None) | Creates a array of values within a specified range. |
| np.linspace (start, stop, num=50, endpoint=True, retstep=False, dtype=np.float64, axis=0, *, device=None) | Return evenly spaced numbers over a specified interval. |
| np.logspace (start, stop, num=50, endpoint=True, base=10.0, dtype=np.float64, axis=0) | Return numbers spaced evenly on a log scale. |
| np.geomspace (start, stop, num=50, endpoint=True, dtype=np.float64, axis=0) | Return numbers spaced evenly on a log scale (a geometric progression). |
| np.meshgrid (*xi, copy=True, sparse=False, indexing='xy') | Return a tuple of coordinate matrices from coordinate vectors. |
| np.mgrid | An instance which returns a dense multi-dimensional "meshgrid". |
| np.ogrid | An instance which returns an open multi-dimensional "meshgrid". |
Building matrices-
| Method | Description |
|---|---|
| np.diag (v, k=0) | Extract a diagonal or construct a diagonal array. |
| np.diagflat (v, k=0) | Create a two-dimensional array with the flattened input as a diagonal. |
| np.tri (N, M=None, k=0, dtype=np.float64, *,like=None) | An array with ones at and below the given diagonal and zeros elsewhere. |
| np.tril (m, k=0) | Lower triangle of an array. |
| np.triu (m, k=0) | Upper triangle of an array. |
| np.vander (x, N=None, increasing=False) | Generate a Vandermonde matrix. |