Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:architecture
|
| gptkbp:attribute |
size
data shape dtype itemsize ndim strides |
| gptkbp:canBe |
two-dimensional
one-dimensional multi-dimensional |
| gptkbp:canBeConvertedFrom |
Python lists
|
| gptkbp:canBeLoadedWith |
.npy files
.npz files |
| gptkbp:canBeSavedAs |
.npy files
.npz files |
| gptkbp:convertedTo |
Python lists
|
| gptkbp:createdBy |
gptkb:numpy.arange()
gptkb:numpy.array() gptkb:numpy.linspace() gptkb:numpy.random numpy.ones() numpy.zeros() |
| https://www.w3.org/2000/01/rdf-schema#label |
NumPy arrays
|
| gptkbp:provides |
gptkb:NumPy_library
|
| gptkbp:supports |
broadcasting
random number generation indexing multidimensional arrays masking vectorized operations reshaping mathematical functions serialization universal functions (ufuncs) slicing element-wise operations linear algebra operations memory efficiency C-style contiguous memory layout Fortran-style memory layout aggregation functions boolean indexing data type specification fancy indexing in-place operations interoperability with C/C++ interoperability with Fortran interoperability with other Python libraries views and copies |
| gptkbp:usedFor |
gptkb:machine_learning
gptkb:signal_processing data analysis scientific computing image processing numerical simulations |
| gptkbp:usedIn |
Python programming
|
| gptkbp:bfsParent |
gptkb:Python_(scipy.stats)
|
| gptkbp:bfsLayer |
6
|