NumDoc4 Numeric Manual
numeric-manual
numeric-manual
User Manual:
Open the PDF directly: View PDF
Page Count: 128 [warning: Documents this large are best viewed by clicking the View PDF Link!]
- Numerical Python
- Part I: Numerical Python
- 1. Introduction
- 2. Installing NumPy
- 3. The NumTut package
- 4. High-Level Overview
- 5. Array Basics
- 6. Ufuncs
- 7. Pseudo Indices
- 8. Array Functions
- take(a, indices, axis=0)
- put (a, indices, values)
- putmask (a, mask, values)
- transpose(a, axes=None)
- repeat(a, repeats, axis=0)
- choose(a, (b0, ..., bn))
- ravel(a)
- nonzero(a)
- where(condition, x, y)
- compress(condition, a, axis=0)
- diagonal(a, k=0, axis1=0, axis2 = 1)
- trace(a, k=0)
- searchsorted(a, values)
- sort(a, axis=-1)
- argsort(a, axis=-1)
- argmax(a, axis=-1), argmin(a, axis=-1)
- fromstring(string, typecode)
- dot(m1, m2)
- matrixmultiply(m1, m2)
- clip(m, m_min, m_max)
- indices(shape, typecode=None)
- swapaxes(a, axis1, axis2)
- concatenate((a0, a1, ... , an), axis=0)
- innerproduct(a, b)
- outerproduct(a,b)
- array_repr()
- array_str()
- resize(a, new_shape)
- diagonal(a, offset=0, axis1=0, axis2=1)
- repeat (a, counts, axis=0)
- convolve (a, v, mode=2)
- cross_correlate (a, v, mode=0)
- where (condition, x, y)
- identity(n)
- sum(a, index=0)
- cumsum(a, index=0)
- product(a, index=0)
- cumproduct(a, index=0)
- alltrue(a, index=0)
- sometrue(a, index=0)
- allclose (x, y, rtol = 1.e-5, atol = 1.e-8)
- 9. Array Methods
- 10. Array Attributes
- 11. Special Topics
- 12. Writing a C extension to NumPy
- 13. C API Reference
- 14. Glossary
- Part II: Optional Packages
- License and disclaimer for packages MA, RNG, Properties
- 15. FFT Reference
- 16. LinearAlgebra Reference
- 17. RandomArray Reference
- Python Interface
- Floating point random arrays
- standard_normal (shape=ReturnFloat)
- normal (mean, stddev, shape=ReturnFloat)
- multivariate_normal (mean, covariance) or multivariate_normal (mean, covariance, leadingAxesShape)
- exponential (mean, shape=ReturnFloat)
- beta (a, b, shape=ReturnFloat)
- gamma (a, r, shape=ReturnFloat)
- chi_square (df, shape=ReturnFloat)
- noncentral_chi_square (df, nonc, shape=ReturnFloat)
- F (dfn, dfd, shape=ReturnFloat)
- noncentral_F (dfn, dfd, nconc, shape=ReturnFloat)
- Integer random arrays
- Examples
- 18. Independent Random Streams
- 19. Properties Reference
- 20. Masked Arrays
- Index
- Part I: Numerical Python