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- Page 7 and 8: 1.1 Introduction Contents • Intro
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- Page 13 and 14: Vectorizing functions (vectorize) S
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- Page 19 and 20: from scipy import optimize >>> info
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- Page 29 and 30: and the set of non-linear equations
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- Page 33 and 34: 1.0 0.5 0.0 0.5 Derivative estimati
- Page 35 and 36: plt.figure() >>> plt.pcolor(x,y,z)
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- Page 43 and 44: 1.8.2 Basic routines Finding Invers
- Page 45 and 46: For matrix A the only valid values
- Page 47 and 48: In both cases for M = N , then as l
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[ 6.00000000e+00 4.00000000e+00 4.6
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Tails of the distribution SciPy Ref
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1.9.4 Comparing two samples SciPy R
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a = [0, 0, 1, 1, 1, 0, 0] >>> print
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dimension, or a single value for al
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... [0, 0, 0, 2, 0, 0, 0], ... [0,
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print sum(image, labels, [0, 2]) [1
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SciPy Reference Guide, Release 0.8.
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How do I start? SciPy Reference Gui
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octave:11> my_struct = struct(’fi
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Back to Python: >>> mat_contents =
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Contents • Weave - Outline - Intr
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1.12.7 Inline SciPy Reference Guide
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Binary search SciPy Reference Guide
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#line 108 "wx_example.py" dc->Begin
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Keyword Option Examples SciPy Refer
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from weave import inline >>> a =
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} return Py::List(py_obj); static P
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} handle_bad_type(py_obj,"instance"
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usr/lib/python21/site-packages/linu
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[ 0., 0., 0., 0., 0.]]) SciPy Refer
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""" fib = ext_tools.ext_function(
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2.1 SciPy 0.7.0 Release Notes Conte
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2.1.4 Building SciPy SciPy Referenc
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3.1 Clustering package (scipy.clust
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c [int] The number of leaf nodes be
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Parameters y Returns Z SciPy Refere
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- ‘left’: plots the root at the
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Returns SciPy Reference Guide, Rele
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Returns • ZS [ndarray] A linkage
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Arguments • Z • T Returns (L, M
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Returns Seealso • Z [ndarray] The
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Returns Seealso SciPy Reference Gui
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whiten(features) array([[ 3.4125007
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... [ 2.0,0.5], ... [ 0.3,1.5], ...
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3.2.2 Physical constants c speed of
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See Also: List of keys containing s
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3.2.4 Unit prefixes SI yotta 10 24
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Pressure atm standard atmosphere in
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Notes Parameters C : float-like sca
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nu2lambda(nu) Convert optical frequ
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axes SciPy Reference Guide, Release
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Return k-th derivative (or integral
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See Also: Returns y : ndarray Axes
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zfft zrfft zfftnd Return objects: y
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Examples Calculate � 4 0 x2 dx an
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fixed_quad(func, a, b, args=(), n=5
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3.4.2 Integrating functions, given
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See Also: SciPy Reference Guide, Re
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Notes Returns : ——- : d : array
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See Also: SciPy Reference Guide, Re
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Methods SciPy Reference Guide, Rele
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Inputs: SciPy Reference Guide, Rele
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Remarks: SciPy Reference Guide, Rel
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3.6 Input and output (scipy.io) See
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3.6.2 Matrix Market files SciPy Ref
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3.6.5 Arff files (scipy.io.arff) Mo
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3.7 Linear algebra (scipy.linalg) 3
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solveh_banded(ab, b, overwrite_ab=0
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LA.norm(a) 7.745966692414834 >>> LA
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Examples SciPy Reference Guide, Rel
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Examples Size of the matrix. If M i
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where .H is the Hermitean conjugati
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See Also: eig eigvals : tuple (lo,
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a v[:,i] = w[i] v[:,i] v.H v = iden
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See Also: eig_banded eigenvalues an
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See Also: Solution to the system lu
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See Also: svd Returns Q : array, sh
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cho_solve(clow, b) Solve a previous
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sf2csf(T, Z) Convert real Schur for
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logm(A, disp=1) Compute matrix loga
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Examples >>> from scipy.linalg impo
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Methods SciPy Reference Guide, Rele
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where Zapprox = exp(self.lognormcon
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3.8.3 Utilities arrayexp(x) Returns
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Notes SciPy Reference Guide, Releas
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Returns nff : float or int Referenc
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See Also: Parameters input : array-
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origin : scalar, optional SciPy Ref
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extra_keywords : dict, optional dic
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Value to fill past edges of input i
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footprint : array, optional SciPy R
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Notes output : array, optional SciP
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print num_features 4 >>> print labe
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3.10.5 Morphology scipy.ndimage.mor
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3.11.2 Use SciPy Reference Guide, R
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Methods SciPy Reference Guide, Rele
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Methods SciPy Reference Guide, Rele
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3.12 Optimization and root finding
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funcalls [int] Number of function c
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f x0 [callable f(x,*args)] Objectiv
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Other Parameters: gcalls [int] Numb
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See Also: mesg : : ier : : SciPy Re
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hobeg - reasonable initial changes
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See Also: OpenOpt, and Notes The ex
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Ns [int] Default number of samples,
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func [callable f(x,*args)] Objectiv
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x = np.linspace(0,4,50) >>> y = fun
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Zero of f between a and b. r : Root
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See Also: SciPy Reference Guide, Re
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fillvalue - value to fill pad input
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3.13.3 Filtering SciPy Reference Gu
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output - filtered signal. symiirord
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Notes Number of Fourier components.
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Outputs: (out,) SciPy Reference Gui
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jw -jw -jmw jw B(e) b[0] + b[1]e +
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H(s) = —— = ——————
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3.13.8 Waveforms SciPy Reference Gu
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hamming(M, sym=1) The M-point Hammi
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err = linalg.norm(x-x_) >>> err < 1
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Methods SciPy Reference Guide, Rele
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desired sparse matrix format • No
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Methods SciPy Reference Guide, Rele
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desired sparse matrix format • No
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Methods [4, 4, 5, 5, 6, 6], [4, 4,
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getdata(ind) getformat() getmaxprin
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Notes lil_matrix(D) with a dense ma
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copy() diagonal() Returns the main
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class dok_matrix(arg1, shape=None,
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astype(t) clear() D.clear() -> None
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set_shape(shape) setdefault() D.set
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matrix([[0, 0, 0, 0], [0, 0, 0, 0],
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getdata(*args, **kwds) getdata is d
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Examples >>> from scipy.sparse impo
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getmaxprint() getnnz() number of no
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Examples Parameters n : integer dty
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spdiags(data, diags, m, n, format=N
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See Also: Returns L : sparse matrix
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matrix([[1, 2], [3, 4], [5, 6]]) Id
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matmat(X) Matrix-matrix multiplicat
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See Also: SciPy Reference Guide, Re
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Notes SciPy Reference Guide, Releas
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Notes extra_argv : list, optional L
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Parameters u v Returns d [ndarray]
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Returns d [double] The Chebyshev di
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u v Returns d [ndarray] An n-dimens
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Returns d [double] The Mahalanobis
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Computes the correlation distance b
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Parameters X SciPy Reference Guide,
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sokalsneath(u, v) Computes the Soka
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class KDTree(data, leafsize=10) kd-
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[2, 4], [2, 5], [2, 6], [2, 7], [3,
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Methods SciPy Reference Guide, Rele
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See jn_zeros, jnp_zeros, yn_zeros,
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h1vp(v, z, n=1) Return the nth deri
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Gamma and Related Functions SciPy R
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eval_hermite() Evaluate Hermite pol
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hyp2f1 y=hyp2f1(a,b,c,z) returns th
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Spheroidal Wave Functions SciPy Ref
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Kelvin Functions SciPy Reference Gu
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zetac y=zetac(x) returns 1.0 - the
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prb = generic.cdf(x,) >>> h=plt.sem
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ppf(q, *args, **kwds) Percent point
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Methods generic.rvs(,loc=0,size=1)
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Returns k : array-like quantile cor
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Methods norm.rvs(loc=0,scale=1,size
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Methods alpha.rvs(a,loc=0,scale=1,s
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Methods anglit.rvs(loc=0,scale=1,si
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Methods arcsine.rvs(loc=0,scale=1,s
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Methods beta.rvs(a,b,loc=0,scale=1,
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Methods betaprime.rvs(a,b,loc=0,sca
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Methods bradford.rvs(c,loc=0,scale=
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Methods burr.rvs(c,d,loc=0,scale=1,
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Methods fink.rvs(c,loc=0,scale=1,si
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chi Methods cauchy.rvs(loc=0,scale=
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Methods chi.rvs(df,loc=0,scale=1,si
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Methods chi2.rvs(df,loc=0,scale=1,s
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Methods cosine.rvs(loc=0,scale=1,si
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Methods dgamma.rvs(a,loc=0,scale=1,
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Methods dweibull.rvs(c,loc=0,scale=
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Methods erlang.rvs(n,loc=0,scale=1,
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Methods expon.rvs(loc=0,scale=1,siz
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Methods exponweib.rvs(a,c,loc=0,sca
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Methods exponpow.rvs(b,loc=0,scale=
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Methods fatiguelife.rvs(c,loc=0,sca
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f Methods foldcauchy.rvs(c,loc=0,sc
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Methods f.rvs(dfn,dfd,loc=0,scale=1
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Methods foldnorm.rvs(c,loc=0,scale=
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Methods genlogistic.rvs(c,loc=0,sca
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Methods genpareto.rvs(c,loc=0,scale
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Methods genexpon.rvs(a,b,c,loc=0,sc
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Methods genextreme.rvs(c,loc=0,scal
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Methods gausshyper.rvs(a,b,c,z,loc=
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Methods gamma.rvs(a,loc=0,scale=1,s
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Methods gengamma.rvs(a,c,loc=0,scal
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Methods genhalflogistic.rvs(c,loc=0
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Methods gompertz.rvs(c,loc=0,scale=
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Methods gumbel_r.rvs(loc=0,scale=1,
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Methods gumbel_l.rvs(loc=0,scale=1,
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Methods halfcauchy.rvs(loc=0,scale=
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Methods halflogistic.rvs(loc=0,scal
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Methods halfnorm.rvs(loc=0,scale=1,
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Methods hypsecant.rvs(loc=0,scale=1
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Methods invgamma.rvs(a,loc=0,scale=
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Methods invnorm.rvs(mu,loc=0,scale=
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Methods invweibull.rvs(c,loc=0,scal
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Methods johnsonb.rvs(a,b,loc=0,scal
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Methods johnsonsu.rvs(a,b,loc=0,sca
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Methods laplace.rvs(loc=0,scale=1,s
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Methods logistic.rvs(loc=0,scale=1,
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Methods loggamma.rvs(loc=0,scale=1,
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Methods loglaplace.rvs(c,loc=0,scal
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Methods lognorm.rvs(s,loc=0,scale=1
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Methods gilbrat.rvs(loc=0,scale=1,s
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Methods lomax.rvs(c,loc=0,scale=1,s
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Methods maxwell.rvs(loc=0,scale=1,s
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Methods mielke.rvs(k,s,loc=0,scale=
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Methods nakagami.rvs(nu,loc=0,scale
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ncf Methods ncx2.rvs(df,nc,loc=0,sc
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t Methods ncf.rvs(dfn,dfd,nc,loc=0,
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nct Methods t.rvs(df,loc=0,scale=1,
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Methods nct.rvs(df,nc,loc=0,scale=1
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Methods pareto.rvs(b,loc=0,scale=1,
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Methods powerlaw.rvs(a,loc=0,scale=
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Methods powerlognorm.rvs(c,s,loc=0,
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Methods powernorm.rvs(c,loc=0,scale
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Methods rdist.rvs(c,loc=0,scale=1,s
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Methods reciprocal.rvs(a,b,loc=0,sc
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Methods rayleigh.rvs(loc=0,scale=1,
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Methods rice.rvs(b,loc=0,scale=1,si
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Methods recipinvgauss.rvs(mu,loc=0,
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Methods semicircular.rvs(loc=0,scal
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Methods triang.rvs(c,loc=0,scale=1,
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Methods truncexpon.rvs(b,loc=0,scal
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Methods truncnorm.rvs(a,b,loc=0,sca
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Methods tukeylambda.rvs(lam,loc=0,s
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Methods uniform.rvs(loc=0,scale=1,s
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Methods wald.rvs(loc=0,scale=1,size
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Methods weibull_min.rvs(c,loc=0,sca
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Methods weibull_max.rvs(c,loc=0,sca
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Methods wrapcauchy.rvs(c,loc=0,scal
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Methods ksone.rvs(n,loc=0,scale=1,s
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Methods kstwobign.rvs(loc=0,scale=1
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Methods binom.rvs(n,pr,loc=0,size=1
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Methods bernoulli.rvs(pr,loc=0,size
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Methods nbinom.rvs(n,pr,loc=0,size=
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Methods geom.rvs(pr,loc=0,size=1) g
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Methods hypergeom.rvs(M,n,N,loc=0,s
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Methods logser.rvs(pr,loc=0,size=1)
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Methods poisson.rvs(mu,loc=0,size=1
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Methods planck.rvs(lambda_,loc=0,si
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Methods boltzmann.rvs(lambda_,N,loc
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Methods randint.rvs(min,max,loc=0,s
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Methods zipf.rvs(a,loc=0,size=1) zi
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Methods dlaplace.rvs(a,loc=0,size=1
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Notes SciPy Reference Guide, Releas
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limits : None or (lower limit, uppe
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Notes Returns p-value : float a 2-s
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Examples Returns pcos : float http:
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Returns (Pearson’s correlation co
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vs1 = stats.norm.rvs(loc=5,scale=10
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Examples >>> from scipy import stat
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References [R34] kruskal(*args) Com
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References [R13], [R14] the p-value
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Gumbel 25%, 10%, 5%, 2.5%, 1% SciPy
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3.18.4 Plot-tests probplot(x[, spar
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length of the longest sequence. Ret
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Find repeats in arr and return a tu
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Second data list. use_ties: {True,
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Returns d : float data2 [sequence]
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Examples An array containing the ca
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Parameters data : sequence Input da
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up_slope [float] Upper bound of the
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Examples SciPy Reference Guide, Rel
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tail SciPy Reference Guide, Release
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Notes SciPy Reference Guide, Releas
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Examples SciPy Reference Guide, Rel
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Attributes d int number of dimensio
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BIBLIOGRAPHY [Sta07] “Statistics
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[R32] http://en.wikipedia.org/wiki/
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Symbols __call__() (scipy.interpola
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complete() (in module scipy.cluster
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factorial2() (in module scipy.misc)
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grey_closing() (in module scipy.ndi
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lfiltic() (in module scipy.signal),
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orth() (in module scipy.linalg), 23
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todia() (scipy.sparse.csc_matrix me