This is documentation for an old release of SciPy (version 0.9.0). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).
Index
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A
B
C
- C2F() (in module scipy.constants)
- C2K() (in module scipy.constants)
- canberra() (in module scipy.spatial.distance), [1]
- cascade() (in module scipy.signal)
- cauchy (in module scipy.stats)
- cbrt (in module scipy.special)
- cc_diff() (in module scipy.fftpack)
- cdf() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- cdist() (in module scipy.spatial.distance), [1]
- center_of_mass() (in module scipy.ndimage.measurements)
- central_diff_weights() (in module scipy.misc), [1]
- centroid() (in module scipy.cluster.hierarchy), [1]
- cg() (in module scipy.sparse.linalg)
- cgs() (in module scipy.sparse.linalg)
- chdtr (in module scipy.special)
- chdtrc (in module scipy.special)
- chdtri (in module scipy.special)
- cheb1ord() (in module scipy.signal)
- cheb2ord() (in module scipy.signal)
- chebwin() (in module scipy.signal)
- cheby1() (in module scipy.signal)
- cheby2() (in module scipy.signal)
- chebyc() (in module scipy.special)
- chebys() (in module scipy.special)
- chebyshev() (in module scipy.spatial.distance), [1]
- chebyt() (in module scipy.special)
- chebyu() (in module scipy.special)
- check_format() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- check_grad() (in module scipy.optimize)
- chi (in module scipy.stats)
- chi2 (in module scipy.stats)
- chirp() (in module scipy.signal)
- chisquare() (in module scipy.stats)
- (in module scipy.stats.mstats)
- cho_factor() (in module scipy.linalg)
- cho_solve() (in module scipy.linalg)
- cho_solve_banded() (in module scipy.linalg)
- cholesky() (in module scipy.linalg)
- cholesky_banded() (in module scipy.linalg)
- circulant() (in module scipy.linalg)
- cityblock() (in module scipy.spatial.distance), [1]
- cKDTree (class in scipy.spatial)
- clear() (scipy.sparse.dok_matrix method)
- clearcache() (scipy.maxentropy.basemodel method)
- (scipy.maxentropy.bigmodel method)
- (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- close() (scipy.io.netcdf.netcdf_file method)
- CloughTocher2DInterpolator (class in scipy.interpolate)
- ClusterNode (class in scipy.cluster.hierarchy), [1]
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- cmedian() (in module scipy.stats)
- columnmeans() (in module scipy.maxentropy)
- (in module scipy.maxentropy.maxentutils)
- columnvariances() (in module scipy.maxentropy)
- (in module scipy.maxentropy.maxentutils)
- comb() (in module scipy.misc), [1]
- companion() (in module scipy.linalg)
- complete() (in module scipy.cluster.hierarchy), [1]
- conditionalmodel (class in scipy.maxentropy), [1]
- conj() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- conjtransp() (scipy.sparse.dok_matrix method)
- conjugate() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- convex_hull (scipy.spatial.Delaunay attribute)
- convolve (in module scipy.fftpack.convolve)
- convolve() (in module scipy.ndimage.filters)
- (in module scipy.signal)
- convolve1d() (in module scipy.ndimage.filters)
- convolve2d() (in module scipy.signal)
- convolve_z (in module scipy.fftpack.convolve)
- coo_matrix (class in scipy.sparse)
- cophenet() (in module scipy.cluster.hierarchy), [1]
- copy() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- correlate() (in module scipy.ndimage.filters)
- (in module scipy.signal)
- correlate1d() (in module scipy.ndimage.filters)
- correlate2d() (in module scipy.signal)
- correlation() (in module scipy.spatial.distance), [1]
- correspond() (in module scipy.cluster.hierarchy), [1]
- cosdg (in module scipy.special)
- coshm() (in module scipy.linalg)
- cosine (in module scipy.stats)
- cosine() (in module scipy.spatial.distance), [1]
- cosm() (in module scipy.linalg)
- cosm1 (in module scipy.special)
- cotdg (in module scipy.special)
- count_neighbors() (scipy.spatial.KDTree method)
- count_tied_groups() (in module scipy.stats.mstats)
- covariance_factor() (scipy.stats.gaussian_kde method)
- createDimension() (scipy.io.netcdf.netcdf_file method)
- createVariable() (scipy.io.netcdf.netcdf_file method)
- crossentropy() (scipy.maxentropy.basemodel method)
- (scipy.maxentropy.bigmodel method)
- (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- cs_diff() (in module scipy.fftpack)
- cs_graph_components() (in module scipy.sparse)
- csc_matrix (class in scipy.sparse)
- (class in scipy.sparse.linalg)
- cspline1d() (in module scipy.signal)
- cspline2d() (in module scipy.signal)
- csr_matrix (class in scipy.sparse)
- (class in scipy.sparse.linalg)
- cumfreq() (in module scipy.stats)
- cumtrapz() (in module scipy.integrate)
- curve_fit() (in module scipy.optimize)
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D
E
F
G
H
I
- i0 (in module scipy.special)
- i0e (in module scipy.special)
- i1 (in module scipy.special)
- i1e (in module scipy.special)
- identity() (in module scipy.sparse)
- ifft() (in module scipy.fftpack)
- ifft2() (in module scipy.fftpack)
- ifftn() (in module scipy.fftpack)
- ifftshift() (in module scipy.fftpack)
- ihilbert() (in module scipy.fftpack)
- iirdesign() (in module scipy.signal)
- iirfilter() (in module scipy.signal)
- imfilter() (in module scipy.misc), [1]
- impulse() (in module scipy.signal)
- (scipy.signal.lti method)
- impulse2() (in module scipy.signal)
- imread() (in module scipy.misc), [1]
- imresize() (in module scipy.misc), [1]
- imrotate() (in module scipy.misc), [1]
- imsave() (in module scipy.misc), [1]
- imshow() (in module scipy.misc), [1]
- inconsistent() (in module scipy.cluster.hierarchy), [1]
- info() (in module scipy.misc), [1]
- init_convolution_kernel (in module scipy.fftpack.convolve)
- inline() (in module scipy.weave)
- innerprod() (in module scipy.maxentropy)
- (in module scipy.maxentropy.maxentutils)
- innerprodtranspose() (in module scipy.maxentropy)
- (in module scipy.maxentropy.maxentutils)
- integral() (scipy.interpolate.BivariateSpline method)
- (scipy.interpolate.InterpolatedUnivariateSpline method)
- (scipy.interpolate.LSQBivariateSpline method)
- (scipy.interpolate.LSQUnivariateSpline method)
- (scipy.interpolate.SmoothBivariateSpline method)
- (scipy.interpolate.UnivariateSpline method)
- integrate_box() (scipy.stats.gaussian_kde method)
- integrate_box_1d() (scipy.stats.gaussian_kde method)
- integrate_gaussian() (scipy.stats.gaussian_kde method)
- integrate_kde() (scipy.stats.gaussian_kde method)
- interp1d (class in scipy.interpolate)
- interp2d (class in scipy.interpolate)
- InterpolatedUnivariateSpline (class in scipy.interpolate)
- interval() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- inv() (in module scipy.linalg)
- invgamma (in module scipy.stats)
- invnorm (in module scipy.stats)
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- invres() (in module scipy.signal)
- invweibull (in module scipy.stats)
- irfft() (in module scipy.fftpack)
- is_isomorphic() (in module scipy.cluster.hierarchy), [1]
- is_leaf() (scipy.cluster.hierarchy.ClusterNode method), [1]
- is_monotonic() (in module scipy.cluster.hierarchy), [1]
- is_valid_dm() (in module scipy.spatial.distance), [1]
- is_valid_im() (in module scipy.cluster.hierarchy), [1]
- is_valid_linkage() (in module scipy.cluster.hierarchy), [1]
- is_valid_y() (in module scipy.spatial.distance), [1]
- isf() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- isrec (scipy.io.netcdf.netcdf_variable attribute)
- issparse() (in module scipy.sparse)
- isspmatrix() (in module scipy.sparse)
- isspmatrix_bsr() (in module scipy.sparse)
- isspmatrix_coo() (in module scipy.sparse)
- isspmatrix_csc() (in module scipy.sparse)
- isspmatrix_csr() (in module scipy.sparse)
- isspmatrix_dia() (in module scipy.sparse)
- isspmatrix_dok() (in module scipy.sparse)
- isspmatrix_lil() (in module scipy.sparse)
- it2i0k0 (in module scipy.special)
- it2j0y0 (in module scipy.special)
- it2struve0 (in module scipy.special)
- itemfreq() (in module scipy.stats)
- items() (scipy.sparse.dok_matrix method)
- iterate_structure() (in module scipy.ndimage.morphology)
- iteritems() (scipy.sparse.dok_matrix method)
- iterkeys() (scipy.sparse.dok_matrix method)
- itervalues() (scipy.sparse.dok_matrix method)
- iti0k0 (in module scipy.special)
- itilbert() (in module scipy.fftpack)
- itj0y0 (in module scipy.special)
- itmodstruve0 (in module scipy.special)
- itstruve0 (in module scipy.special)
- iv (in module scipy.special)
- ive (in module scipy.special)
- ivp() (in module scipy.special)
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J
K
L
M
N
O
P
Q
R
S
- sample_wr() (in module scipy.maxentropy.maxentutils)
- save_as_module() (in module scipy.io)
- savemat() (in module scipy.io)
- sawtooth() (in module scipy.signal)
- sc_diff() (in module scipy.fftpack)
- schur() (in module scipy.linalg)
- scipy.cluster (module)
- scipy.cluster.hierarchy (module)
- scipy.cluster.vq (module)
- scipy.constants (module)
- scipy.fftpack (module)
- scipy.fftpack._fftpack (module)
- scipy.fftpack.convolve (module)
- scipy.integrate (module)
- scipy.interpolate (module)
- scipy.io (module)
- scipy.io.arff (module), [1]
- scipy.io.netcdf (module), [1]
- scipy.io.wavfile (module), [1]
- scipy.linalg (module)
- scipy.maxentropy (module)
- scipy.maxentropy.maxentropy (module)
- scipy.maxentropy.maxentutils (module), [1]
- scipy.misc (module)
- scipy.misc.common (module)
- scipy.misc.doccer (module)
- scipy.misc.pilutil (module)
- scipy.misc.setup (module)
- scipy.misc.setupscons (module)
- scipy.ndimage (module)
- scipy.ndimage.filters (module)
- scipy.ndimage.fourier (module)
- scipy.ndimage.interpolation (module)
- scipy.ndimage.measurements (module)
- scipy.ndimage.morphology (module)
- scipy.odr (module)
- scipy.odr.models (module)
- scipy.odr.odrpack (module)
- scipy.optimize (module)
- scipy.optimize.nonlin (module)
- scipy.signal (module)
- scipy.sparse (module)
- scipy.sparse.base (module)
- scipy.sparse.bsr (module)
- scipy.sparse.compressed (module)
- scipy.sparse.construct (module)
- scipy.sparse.coo (module)
- scipy.sparse.csc (module)
- scipy.sparse.csgraph (module)
- scipy.sparse.csr (module)
- scipy.sparse.data (module)
- scipy.sparse.dia (module)
- scipy.sparse.dok (module)
- scipy.sparse.extract (module)
- scipy.sparse.lil (module)
- scipy.sparse.linalg (module), [1]
- scipy.sparse.sparsetools (module)
- scipy.sparse.spfuncs (module)
- scipy.sparse.sputils (module)
- scipy.spatial (module)
- scipy.spatial.distance (module), [1]
- scipy.special (module)
- scipy.stats (module)
- scipy.stats.mstats (module)
- scipy.weave (module)
- scipy.weave.ext_tools (module)
- scoreatpercentile() (in module scipy.stats)
- (in module scipy.stats.mstats)
- scotts_factor() (scipy.stats.gaussian_kde method)
- sem() (in module scipy.stats)
- (in module scipy.stats.mstats)
- semicircular (in module scipy.stats)
- sepfir2d() (in module scipy.signal)
- set_iprint() (scipy.odr.ODR method), [1]
- set_job() (scipy.odr.ODR method), [1]
- set_link_color_palette() (in module scipy.cluster.hierarchy)
- set_meta() (scipy.odr.Data method), [1]
- (scipy.odr.Model method), [1]
- (scipy.odr.RealData method)
- set_shape() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- set_smoothing_factor() (scipy.interpolate.InterpolatedUnivariateSpline method)
- (scipy.interpolate.LSQUnivariateSpline method)
- (scipy.interpolate.UnivariateSpline method)
- set_yi() (scipy.interpolate.BarycentricInterpolator method)
- setcallback() (scipy.maxentropy.basemodel method)
- (scipy.maxentropy.bigmodel method)
- (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- setdefault() (scipy.sparse.dok_matrix method)
- setdiag() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- setfeaturesandsamplespace() (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- setparams() (scipy.maxentropy.basemodel method)
- (scipy.maxentropy.bigmodel method)
- (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- setsampleFgen() (scipy.maxentropy.bigmodel method)
- setsmooth() (scipy.maxentropy.basemodel method)
- (scipy.maxentropy.bigmodel method)
- (scipy.maxentropy.conditionalmodel method)
- (scipy.maxentropy.model method)
- settestsamples() (scipy.maxentropy.bigmodel method)
- seuclidean() (in module scipy.spatial.distance), [1]
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- sf() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- sh_chebyt() (in module scipy.special)
- sh_chebyu() (in module scipy.special)
- sh_jacobi() (in module scipy.special)
- sh_legendre() (in module scipy.special)
- shape (scipy.io.netcdf.netcdf_variable attribute)
- (scipy.sparse.bsr_matrix attribute)
- (scipy.sparse.coo_matrix attribute)
- (scipy.sparse.csc_matrix attribute)
- (scipy.sparse.csr_matrix attribute)
- (scipy.sparse.dia_matrix attribute)
- (scipy.sparse.dok_matrix attribute)
- (scipy.sparse.lil_matrix attribute)
- shapiro() (in module scipy.stats)
- shichi (in module scipy.special)
- shift() (in module scipy.fftpack)
- (in module scipy.ndimage.interpolation)
- sici (in module scipy.special)
- signaltonoise() (in module scipy.stats)
- (in module scipy.stats.mstats)
- signm() (in module scipy.linalg)
- silverman_factor() (scipy.stats.gaussian_kde method)
- simps() (in module scipy.integrate)
- sindg (in module scipy.special)
- single() (in module scipy.cluster.hierarchy), [1]
- sinhm() (in module scipy.linalg)
- sinm() (in module scipy.linalg)
- skew() (in module scipy.stats)
- (in module scipy.stats.mstats)
- skewtest() (in module scipy.stats)
- (in module scipy.stats.mstats)
- slepian() (in module scipy.signal)
- smirnov (in module scipy.special)
- smirnovi (in module scipy.special)
- SmoothBivariateSpline (class in scipy.interpolate)
- sobel() (in module scipy.ndimage.filters)
- sokalmichener() (in module scipy.spatial.distance), [1]
- sokalsneath() (in module scipy.spatial.distance), [1]
- solve() (in module scipy.linalg)
- solve_banded() (in module scipy.linalg)
- solve_triangular() (in module scipy.linalg)
- solveh_banded() (in module scipy.linalg)
- sort_indices() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- sorted_indices() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- source() (in module scipy.misc)
- spalde() (in module scipy.interpolate)
- sparse_distance_matrix() (scipy.spatial.KDTree method)
- SparseEfficiencyWarning, [1]
- sparsefeaturematrix() (in module scipy.maxentropy)
- (in module scipy.maxentropy.maxentutils)
- sparsefeatures() (in module scipy.maxentropy.maxentutils)
- SparseWarning, [1]
- spdiags() (in module scipy.sparse)
- spearmanr() (in module scipy.stats)
- (in module scipy.stats.mstats)
- spence (in module scipy.special)
- sph_harm (in module scipy.special)
- sph_in() (in module scipy.special)
- sph_inkn() (in module scipy.special)
- sph_jn() (in module scipy.special)
- sph_jnyn() (in module scipy.special)
- sph_kn() (in module scipy.special)
- sph_yn() (in module scipy.special)
- spilu() (in module scipy.sparse.linalg)
- splev() (in module scipy.interpolate)
- spline_filter() (in module scipy.ndimage.interpolation)
- (in module scipy.signal)
- spline_filter1d() (in module scipy.ndimage.interpolation)
- splint() (in module scipy.interpolate)
- split() (scipy.sparse.dok_matrix method)
- splprep() (in module scipy.interpolate)
- splrep() (in module scipy.interpolate)
- splu() (in module scipy.sparse.linalg)
- sproot() (in module scipy.interpolate)
- spsolve() (in module scipy.sparse.linalg)
- sqeuclidean() (in module scipy.spatial.distance), [1]
- sqrtm() (in module scipy.linalg)
- square() (in module scipy.signal)
- squareform() (in module scipy.spatial.distance), [1]
- ss2tf() (in module scipy.signal)
- ss2zpk() (in module scipy.signal)
- ss_diff() (in module scipy.fftpack)
- standard_deviation() (in module scipy.ndimage.measurements)
- stats() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- std() (scipy.stats.rv_continuous method)
- (scipy.stats.rv_discrete method)
- stdtr (in module scipy.special)
- stdtridf (in module scipy.special)
- stdtrit (in module scipy.special)
- step() (in module scipy.signal)
- (scipy.signal.lti method)
- step2() (in module scipy.signal)
- stochapprox() (scipy.maxentropy.bigmodel method)
- struve (in module scipy.special)
- sum() (in module scipy.ndimage.measurements)
- (scipy.sparse.bsr_matrix method)
- (scipy.sparse.coo_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- (scipy.sparse.dia_matrix method)
- (scipy.sparse.dok_matrix method)
- (scipy.sparse.lil_matrix method)
- sum_duplicates() (scipy.sparse.bsr_matrix method)
- (scipy.sparse.csc_matrix method)
- (scipy.sparse.csr_matrix method)
- svd() (in module scipy.linalg)
- svds() (in module scipy.sparse.linalg)
- svdvals() (in module scipy.linalg)
- sweep_poly() (in module scipy.signal)
- symiirorder1() (in module scipy.signal)
- symiirorder2() (in module scipy.signal)
- sync() (scipy.io.netcdf.netcdf_file method)
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