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  • Getting started
  • User Guide
  • API reference
  • Development
  • Release notes
development1.16.2 (stable)1.16.11.16.01.15.31.15.21.15.11.15.01.14.11.14.01.13.11.13.01.12.01.11.41.11.31.11.21.11.11.11.01.10.11.10.01.9.31.9.21.9.11.9.01.8.11.8.01.7.11.7.01.6.31.6.21.6.11.6.01.5.41.5.31.5.21.5.11.5.01.4.11.4.01.3.31.3.21.3.11.3.01.2.31.2.11.2.01.1.01.0.00.19.00.18.10.18.00.17.10.17.00.16.10.16.00.15.10.15.00.14.10.14.00.13.00.12.00.11.00.10.10.10.00.9.00.80.7
  • Clustering package ( scipy.cluster )
  • K-means clustering and vector quantization ( scipy.cluster.vq )
  • Hierarchical clustering ( scipy.cluster.hierarchy )
  • Constants ( scipy.constants )
  • Discrete Fourier transforms ( scipy.fft )
  • Legacy discrete Fourier transforms ( scipy.fftpack )
  • Integration and ODEs ( scipy.integrate )
  • Interpolation ( scipy.interpolate )
  • Input and output ( scipy.io )
  • Linear algebra ( scipy.linalg )
  • Low-level BLAS functions ( scipy.linalg.blas )
  • Low-level LAPACK functions ( scipy.linalg.lapack )
  • BLAS Functions for Cython
  • LAPACK functions for Cython
  • Interpolative matrix decomposition ( scipy.linalg.interpolative )
  • Miscellaneous routines ( scipy.misc )
  • Multidimensional image processing ( scipy.ndimage )
  • Orthogonal distance regression ( scipy.odr )
  • Optimization and root finding ( scipy.optimize )
  • Cython optimize zeros API
  • Signal processing ( scipy.signal )
  • Sparse matrices ( scipy.sparse )
  • Sparse linear algebra ( scipy.sparse.linalg )
  • Compressed sparse graph routines ( scipy.sparse.csgraph )
  • Spatial algorithms and data structures ( scipy.spatial )
  • Distance computations ( scipy.spatial.distance )
  • Special functions ( scipy.special )
  • Statistical functions ( scipy.stats )
  • Result classes
  • Contingency table functions ( scipy.stats.contingency )
  • Statistical functions for masked arrays ( scipy.stats.mstats )
  • Quasi-Monte Carlo submodule ( scipy.stats.qmc )
  • Random Number Generators ( scipy.stats.sampling )
  • Low-level callback functions

Result classes#

RelativeRiskResult(relative_risk, ...)

Result of scipy.stats.contingency.relative_risk.

BinomTestResult(k, n, alternative, pvalue, ...)

Result of scipy.stats.binomtest.

TukeyHSDResult(statistic, pvalue, _nobs, ...)

Result of scipy.stats.tukey_hsd.

PearsonRResult(statistic, pvalue, **extra_fields)

Result of scipy.stats.pearsonr

FitResult(dist, data, discrete, res)

Result of fitting a discrete or continuous distribution to data

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scipy.stats.FitError

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scipy.stats._result_classes.RelativeRiskResult

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