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__doc_title__ = """Basic functions used by several sub-packages and
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useful to have in the main name-space."""
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__doc__ = __doc_title__ + """
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iscomplexobj -- Test for complex object, scalar result
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isrealobj -- Test for real object, scalar result
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iscomplex -- Test for complex elements, array result
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isreal -- Test for real elements, array result
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imag -- Imaginary part
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real_if_close -- Turns complex number with tiny imaginary part to real
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isneginf -- Tests for negative infinity ---|
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isposinf -- Tests for positive infinity |
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isnan -- Tests for nans |---- array results
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isinf -- Tests for infinity |
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isfinite -- Tests for finite numbers ---|
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isscalar -- True if argument is a scalar
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nan_to_num -- Replaces NaN's with 0 and infinities with large numbers
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cast -- Dictionary of functions to force cast to each type
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common_type -- Determine the 'minimum common type code' for a group
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mintypecode -- Return minimal allowed common typecode.
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mgrid -- Method which allows easy construction of N-d 'mesh-grids'
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r_ -- Append and construct arrays: turns slice objects into
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ranges and concatenates them, for 2d arrays appends
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index_exp -- Konrad Hinsen's index_expression class instance which
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can be useful for building complicated slicing syntax.
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select -- Extension of where to multiple conditions and choices
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extract -- Extract 1d array from flattened array according to mask
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insert -- Insert 1d array of values into Nd array according to mask
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linspace -- Evenly spaced samples in linear space
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logspace -- Evenly spaced samples in logarithmic space
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fix -- Round x to nearest integer towards zero
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mod -- Modulo mod(x,y) = x % y except keeps sign of y
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amax -- Array maximum along axis
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amin -- Array minimum along axis
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ptp -- Array max-min along axis
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cumsum -- Cumulative sum along axis
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prod -- Product of elements along axis
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cumprod -- Cumluative product along axis
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diff -- Discrete differences along axis
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angle -- Returns angle of complex argument
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unwrap -- Unwrap phase along given axis (1-d algorithm)
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sort_complex -- Sort a complex-array (based on real, then imaginary)
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trim_zeros -- trim the leading and trailing zeros from 1D array.
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vectorize -- a class that wraps a Python function taking scalar
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arguments into a generalized function which
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can handle arrays of arguments using the broadcast
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rules of numerix Python.
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squeeze -- Return a with length-one dimensions removed.
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atleast_1d -- Force arrays to be > 1D
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atleast_2d -- Force arrays to be > 2D
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atleast_3d -- Force arrays to be > 3D
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vstack -- Stack arrays vertically (row on row)
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hstack -- Stack arrays horizontally (column on column)
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column_stack -- Stack 1D arrays as columns into 2D array
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dstack -- Stack arrays depthwise (along third dimension)
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split -- Divide array into a list of sub-arrays
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hsplit -- Split into columns
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vsplit -- Split into rows
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dsplit -- Split along third dimension
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Matrix (2d array) manipluations
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===============================
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fliplr -- 2D array with columns flipped
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flipud -- 2D array with rows flipped
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rot90 -- Rotate a 2D array a multiple of 90 degrees
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eye -- Return a 2D array with ones down a given diagonal
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diag -- Construct a 2D array from a vector, or return a given
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diagonal from a 2D array.
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mat -- Construct a Matrix
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bmat -- Build a Matrix from blocks
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poly1d -- A one-dimensional polynomial class
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poly -- Return polynomial coefficients from roots
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roots -- Find roots of polynomial given coefficients
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polyint -- Integrate polynomial
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polyder -- Differentiate polynomial
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polyadd -- Add polynomials
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polysub -- Substract polynomials
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polymul -- Multiply polynomials
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polydiv -- Divide polynomials
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polyval -- Evaluate polynomial at given argument
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ppimport -- Postpone module import until trying to use it
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ppimport_attr -- Postpone module import until trying to use its
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ppresolve -- Import postponed module and return it.
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machar_single -- MachAr instance storing the parameters of system
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single precision floating point arithmetics
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machar_double -- MachAr instance storing the parameters of system
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double precision floating point arithmetics
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ParallelExec -- Execute commands in parallel thread.
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1D array set operations
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=======================
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Set operations for 1D numeric arrays based on sort() function.
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ediff1d -- Array difference (auxiliary function).
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unique1d -- Unique elements of 1D array.
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intersect1d -- Intersection of 1D arrays with unique elements.
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intersect1d_nu -- Intersection of 1D arrays with any elements.
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setxor1d -- Set exclusive-or of 1D arrays with unique elements.
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setmember1d -- Return an array of shape of ar1 containing 1 where
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the elements of ar1 are in ar2 and 0 otherwise.
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union1d -- Union of 1D arrays with unique elements.
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setdiff1d -- Set difference of 1D arrays with unique elements.
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depends = ['core','testing']
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global_symbols = ['*']
added
removed
numpy/lib/info.py
