Index

A

• accumulate method
  • applying, on add function / Time for action – applying the ufunc methods on add
• AffinityPropagation class
  • about / Time for action – clustering points
• agg.FigureCanvasAgg() function / What just happened?
• AI
  • about / Artificial intelligence
  • points, clustering / Time for action – clustering points, What just happened?
• almost equal arrays
  • asserting / Time for action – asserting almost equal
• AND operator / Time for action – twiddling bits
• annotate function / Legend and annotations
• apply_along_axis function / Time for action – summarizing data
• approximately equal arrays
  • asserting / Time for action – asserting approximately equal
• arange function / NumPy array object, What just happened?, Time for action – fitting to polynomials, Time for action – extracting elements from an array
• argmax function
  • about / Searching
• argmin function / What just happened?
  • about / Searching
• argsort function
  • about / Sorting
• argwhere function
  • about / Searching
• arithmetic functions
  • about / Arithmetic functions
  • array division / Time for action – dividing arrays, What just happened?
• array attributes
  • shape / Array attributes
  • about / Array attributes
  • dtype / Array attributes
  • ndim / Array attributes
  • size / Array attributes
  • itemsize / Array attributes
  • T attribute / Array attributes
  • real / Array attributes
  • imag / Array attributes
  • flat / Array attributes
• arrays
  • converting / Time for action – converting arrays
  • comparing / Time for action – comparing arrays
  • ordering / Time for action – checking the array order
• arrays, NumPy
  • about / Arrays
  • stacking / Stacking
  • splitting / Splitting
• arrays almost equal
  • asserting / Time for action – asserting arrays almost equal
• array shapes
  • manipulating / Time for action – manipulating array shapes
• array shapes, manipulating
  • ravel function / Time for action – manipulating array shapes
  • flatten function / Time for action – manipulating array shapes
  • reshape function / Time for action – manipulating array shapes
  • transpose matrices / Time for action – manipulating array shapes
  • resize method / Time for action – manipulating array shapes
• arrays spiltting
  • about / Splitting
  • horizontal splitting / Time for action – splitting arrays
  • vertical splitting / Time for action – splitting arrays
  • depth-wise splitting / Time for action – splitting arrays
• arrays stacking
  • horizontal stacking / Time for action – stacking arrays
  • vertical stacking / Time for action – stacking arrays
  • depth stacking / Time for action – stacking arrays
  • column stacking / Time for action – stacking arrays
  • row stacking / Time for action – stacking arrays
• assert functions
  • about / Assert functions
  • assert_almost_equal / Assert functions
  • assert_approx_equal / Assert functions
  • assert_array_almost_equal / Assert functions
  • assert_array_equal / Assert functions
  • assert_array_less / Assert functions
  • assert_equal / Assert functions
  • assert_raises / Assert functions
  • assert_warns / Assert functions
  • assert_string_equal / Assert functions
  • assert_allclose / Assert functions
• assert_allclose function
  • about / Assert functions
• assert_almost_equal function
  • about / Assert functions
  • using / Time for action – asserting almost equal
• assert_approx_equal function
  • about / Assert functions
  • using / Approximately equal arrays
• assert_array_almost_equal function
  • about / Assert functions
  • using / Almost equal arrays
• assert_array_almost_equal_nulp function
  • using / Time for action – comparing with assert_array_almost_equal_nulp
• assert_array_equal function
  • about / Assert functions
  • using / Equal arrays
• assert_array_less function
  • about / Assert functions
  • using / Ordering arrays
• assert_array_max_ulp function
  • about / Comparison of floats with more ULPs
  • using / Time for action – comparing using maxulp of 2
• assert_equal function
  • about / Assert functions
  • using / Objects comparison
• assert_raises function
  • about / Assert functions
• assert_string_equal function
  • about / Assert functions
  • using / String comparison, Time for action – comparing strings
• assert_warns function
  • about / Assert functions
• astype function / Time for action – converting arrays
• audio clips
  • replaying / Time for action – replaying audio clips, What just happened?
• audio processing
  • about / Audio processing
  • audio clips, replaying / Time for action – replaying audio clips, What just happened?
• average true range (ATR)
  • about / Average true range
  • calculating / Time for action – calculating the average true range, What just happened?

B

• bartlett function
  • about / Have a go hero – smoothing variations, Time for action – plotting the Bartlett window
• Bartlett window
  • about / Time for action – plotting the Bartlett window
  • plotting / Time for action – plotting the Bartlett window
• binomial distribution models
  • about / Time for action – gambling with the binomial
• binomial function
  • using / Time for action – gambling with the binomial, What just happened?
• bits
  • twiddling / Time for action – twiddling bits
• Bitwise-ANDing / Time for action – twiddling bits
• bitwise functions
  • about / Bitwise and comparison functions
• bitwise_and function / Time for action – twiddling bits
• bitwise_xor function / Time for action – twiddling bits
• blackman function
  • about / Have a go hero – smoothing variations, Blackman window
• Blackman window
  • about / Blackman window
  • plotting / Time for action – smoothing stock prices with the Blackman window, What just happened?
• Bollinger bands
  • about / Bollinger bands
  • enveloping with / Time for action – enveloping with Bollinger bands, What just happened?
• bools.astype() function / What just happened?

C

• calc_profit function
  • about / Time for action – avoiding loops with vectorize
• canvas.draw() function / What just happened?
• canvas.get_renderer() function / What just happened?
• character codes
  • about / Character codes
• clip method / Time for action – clipping and compressing arrays
• clock object, Pygame
  • animating / Time for action – animating objects with NumPy and Pygame
• column stacking
  • about / Time for action – stacking arrays
• column_stack function
  • about / Time for action – stacking arrays
• comparison functions
  • about / Bitwise and comparison functions
• complex numbers
  • about / Complex numbers
  • sorting / Time for action – sorting complex numbers, What just happened?
• compress method / Time for action – clipping and compressing arrays
• concatenate function
  • about / Time for action – stacking arrays
• consecutive wins and losses
  • analyzing / Have a go hero – analyzing consecutive wins and losses
• continuous distributions
  • about / Continuous distributions
• contour function / Contour plots
• contour plots
  • about / Contour plots
  • filled contour plot, drawing / Time for action – drawing a filled contour plot
• convolution
  • about / Time for action – computing the simple moving average
• convolve function
  • about / What just happened?
• correlation
  • about / Correlation
  • correlated pairs, trading / Time for action – trading correlated pairs, What just happened?
• CPython
  • about / Python
• CSV files
  • about / CSV files
  • loading from / Time for action – loading from CSV files
  • dealing with / Time for action – loading from CSV files
• cumprod method
  • about / Time for action – calculating the factorial

D

• data
  • summarizing weekly / Time for action – summarizing data
• data sorting routines
  • sort function / Sorting
  • lexsort function / Sorting
  • argsort function / Sorting
  • sort method / Sorting
  • msort function / Sorting
  • sort_complex function / Sorting
  • AAPL stock prices, sorting lexically / Time for action – sorting lexically
• data type objects
  • about / Data type objects
• dates
  • dealing with / Time for action – dealing with dates, What just happened?
• Debian and Ubuntu
  • Python, installing / Time for action – installing Python on different operating systems
  • NumPy, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
• decorate_methods function
  • calling / Nose tests decorators
• depth-wise splitting
  • about / Time for action – splitting arrays
• depth stacking
  • about / Time for action – stacking arrays
• determinant, of matrix
  • about / Determinants
  • calculating / Time for action – calculating the determinant of a matrix
• detrended signal
  • filtering / Time for action – filtering a detrended signal, What just happened?
• detrend function / Signal processing
  • about / Signal processing
• diff function / Time for action – analyzing stock returns, Time for action – balancing volume
• discrete Fourier transform (DFT)
  • about / Fast Fourier transform
• DISH (Dish Network Corp.) / Time for action – plotting a year’s worth of stock quotes
• divide function
  • about / Time for action – dividing arrays
• docstrings
  • about / Docstrings
  • doctests, executing / Time for action – executing doctests
• doctests
  • executing / Time for action – executing doctests
• documentation website, NumPy and SciPy
  • URL / Online resources and help
• dsplit function
  • about / Time for action – splitting arrays
• dstack function
  • about / Time for action – stacking arrays
• dtype attribute
  • about / Array attributes
• dtype attributes
  • about / dtype attributes
• dtype constructors
  • about / dtype constructors

E

• easy_install command / OpenGL and Pygame
• Eigenvalues
  • about / Finding eigenvalues and eigenvectors
  • determining / Time for action – determining eigenvalues and eigenvectors, What just happened?
• Eigenvectors
  • about / Finding eigenvalues and eigenvectors
  • determining / Time for action – determining eigenvalues and eigenvectors, What just happened?
• elements
  • extracting, from array / Time for action – extracting elements from an array, What just happened?
• error function / Time for action – calculating the Gaussian integral
• exponential moving average
  • calculating / Time for action – calculating the exponential moving average
• extract function
  • about / Searching
  / Array elements' extraction

F

• factorial
  • calculating / Time for action – calculating the factorial
• fast Fourier transform (FFT)
  • about / Fast Fourier transform
  • calculating / Time for action – calculating the Fourier transform, What just happened?
• fftshift function / Shifting
• Fibonacci numbers
  • about / Fibonacci numbers
  • computing / Time for action – computing Fibonacci numbers, Have a go hero – timing the calculations
• file I/O
  • files, reading and writing / Time for action – reading and writing files
• fill_between function
  • about / Fill between
  • using / Fill between
• financial functions / Financial functions
  • fv / Financial functions
  • pv / Financial functions
  • npv / Financial functions
  • pmt / Financial functions
  • irr / Financial functions
  • mirr / Financial functions
  • nper / Financial functions
  • rate / Financial functions
  • future value, determining / Time for action – determining future value
• flat attribute
  • about / Array attributes
• floating-point comparisons
  • assert_array_almost_equal_nulp function, using / Floating point comparisons
  • about / Floating point comparisons
• floats
  • comapring, maxulp of 2 used / Time for action – comparing using maxulp of 2
• floor_divide function
  • about / Time for action – dividing arrays
• fmod function
  • about / Time for action – computing the modulo
• Fourier analysis
  • about / Fourier analysis
  • detrended signal, filtering / Time for action – filtering a detrended signal, What just happened?
• frequencies
  • shifting / Time for action – shifting frequencies, What just happened?
• fv function / Financial functions

G

• Game of Life
  • implementing / Time for action – simulating life
• Gaussian integral
  • calculating / Time for action – calculating the Gaussian integral
• Gentoo
  • NumPy, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
• glBegin() function / What just happened?
• glClear() function / What just happened?
• glColor3f() function / What just happened?
• glEnd() function / What just happened?
• glFlush() function / What just happened?
• gluOrtho2D() function / What just happened?
• glVertex2fv() function / What just happened?

H

• hamming function
  • about / Have a go hero – smoothing variations, Hamming window
• Hamming window
  • about / Hamming window
  • plotting / Time for action – plotting the Hamming window
• hanning function
  • about / Smoothing
• Hello World example
  • about / Hello World
• hist function / Histograms
• histograms
  • about / Histograms
  • stock price distributions, charting / Time for action – charting stock price distributions, What just happened?
• horizontal splitting
  • about / Time for action – splitting arrays
• horizontal stacking
  • about / Time for action – stacking arrays
• hstack function
  • about / Time for action – stacking arrays
• hypergeometric distribution
  • about / Hypergeometric distribution
  • game show, simulating / Time for action – simulating a game show, What just happened?

I

• imag attribute
  • about / Array attributes
• image processing
  • about / Image processing
  • Lena, manipulating / Time for action – manipulating Lena, What just happened?
  • Lena image, manipulating / Time for action – manipulating Lena, What just happened?
• installation, Python
  • on Debian and Ubuntu / Time for action – installing Python on different operating systems
  • on Windows / Time for action – installing Python on different operating systems
  • on Mac / Time for action – installing Python on different operating systems
• interest rate
  • calculating / Interest rate
• internal rate of return
  • about / Internal rate of return
  • determining / Time for action – determining the internal rate of return
• interp1d class / Interpolation, What just happened?
  • about / Interpolation
• interp2d class / Interpolation
• interpolation
  • about / Interpolation
  • in one dimension / Time for action – interpolating in one dimension, What just happened?
• IPython
  • installing, on Windows / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • installing, on Linux / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Mac OS X / Time for action – installing NumPy, Matplotlib, and SciPy on Mac OS X
  • installing, with MacPorts or Fink / Time for action – installing NumPy, SciPy, Matplotlib, and IPython with MacPorts or Fink
  • about / IPython—an interactive shell
  • installation instructions / IPython—an interactive shell
  • features / IPython—an interactive shell
  • Pylab switch / IPython—an interactive shell
  • packages, importing / IPython—an interactive shell
  • pylab mode / Online resources and help
  • online resources / Online resources and help
• IRC channel
  • about / Online resources and help
• irr function / Financial functions
• isreal function
  • about / What just happened?
• itemsize attribute
  • about / Array attributes

K

• kaiser function
  • about / Have a go hero – smoothing variations, Kaiser window
• Kaiser window
  • about / Kaiser window
  • plotting / Time for action – plotting the Kaiser window

L

• leastsq function / Time for action – fitting to a sine
• left_shift universal function / Time for action – twiddling bits
• legend function / Legend and annotations
• legends and annotations
  • about / Legend and annotations
  • using / Time for action – using legend and annotations, What just happened?
• Lena image
  • manipulating / Time for action – manipulating Lena, What just happened?
• lexsort function
  • about / Sorting
  • using / Time for action – sorting lexically
• linear algebra
  • about / Linear algebra
  • matrices, inverting / Time for action – inverting matrices, What just happened?
• linear model
  • price, predicting with / Time for action – predicting price with a linear model
• linear systems
  • solving / Solving linear systems, Time for action – solving a linear system
• linspace function
  • about / Time for action – calculating the exponential moving average
  / Time for action – drawing Lissajous curves
• Linux
  • NumPy, installing / Linux
  • Matplotlib, installing / Linux
  • SciPy, installing / Linux
  • IPython, installing / Linux
• Lissajous curves
  • about / Lissajous curves
  • drawing / Time for action – drawing Lissajous curves
• loadmat function / MATLAB and Octave
• loadtxt function / Time for action – loading from CSV files, Time for action – dealing with dates
• logarithmic plots
  • about / Logarithmic plots
  • stock volume, plotting / Time for action – plotting stock volume
• log function / Time for action – analyzing stock returns
• lognormal distribution
  • about / Lognormal distribution
  • drawing / Time for action – drawing the lognormal distribution
• lstsq function / Time for action – predicting price with a linear model

M

• .mat file
  • saving / Time for action – saving and loading a .mat file
  • loading / Time for action – saving and loading a .mat file
• .mat file, Matlab
  • loading / Pop quiz – loading .mat files
• Mac
  • Python, installing / Time for action – installing Python on different operating systems
• Mac OS X
  • NumPy, installing / Mac OS X, Time for action – installing NumPy, Matplotlib, and SciPy on Mac OS X
  • Matplotlib, installing / Mac OS X
  • IPython, installing / Mac OS X
  • SciPy, installing / Mac OS X
• Mandriva
  • NumPy, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
• mathematical optimization
  • about / Mathematical optimization
  • sine, fitting to filtered signal / Time for action – fitting to a sine, What just happened?
• Matlab
  • about / MATLAB and Octave
• MATLAB
  • about / MATLAB and Octave
• Matplotlib
  • installing, on Windows / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • installing, on Linux / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Mac OS X / Time for action – installing NumPy, Matplotlib, and SciPy on Mac OS X
  • installing, with MacPorts or Fink / Time for action – installing NumPy, SciPy, Matplotlib, and IPython with MacPorts or Fink
  • simple plots / Simple plots
  • plot format string / Plot format string
  • subplots / Subplots
  • finance / Finance
  • histograms / Histograms
  • logarithmic plots / Logarithmic plots
  • scatter plots / Scatter plots
  • fill_between function / Fill between
  • legend and annotations / Time for action – using legend and annotations
  • three dimensional plots / Three dimensional plots
  • contour plots / Contour plots
  • plots, animating / Animation
  • about / Matplotlib
  • using, in Pygame / Time for action – using Matplotlib in Pygame
• matplotlib.pyplot package
  • about / Simple plots
• matrices
  • about / Matrices
  • creating / Time for action – creating matrices, What just happened?
• matrix
  • creating, from matrices / Creating a matrix from other matrices, What just happened?
• matrix function / Fibonacci numbers
• max function / What just happened?
• mean function / The mean function, What just happened?
• median function / Time for action – doing simple statistics
• Mersenne Twister algorithm
  • about / Random numbers
• meshgrid function / Time for action – plotting in three dimensions
• min function / What just happened?
• mirr function / Financial functions
• mod function
  • about / Time for action – computing the modulo
• modified Bessel function
  • about / Special mathematical functions
  • plotting / Time for action – plotting the modified Bessel function, What just happened?
• modulo operation
  • about / Time for action – computing the modulo
  • computing / Time for action – computing the modulo
• Moore-Penrose pseudoinverse
  • about / Pseudoinverse
• mpl.use() function / What just happened?
• msort function / Time for action – doing simple statistics
  • about / Sorting
• multidimensional arrays
  • slicing / Time for action – slicing and indexing multidimensional arrays
  • indexing / Time for action – slicing and indexing multidimensional arrays
• multidimensional NumPy array
  • creating / Time for action – creating a multidimensional array

N

• nanargmax function
  • about / Searching
• nanargmin function
  • about / Searching
• ndarray
  • about / NumPy array object
• ndarray methods
  • about / Methods of ndarray
  • clip method / Time for action – clipping and compressing arrays
  • compress method / Time for action – clipping and compressing arrays
• ndimage.convolve() function / What just happened?
• ndim attribute
  • about / Array attributes
• net present value
  • about / Net present value
  • calculating / Time for action – calculating the net present value
• nonzero function / Array elements' extraction
• normal distribution
  • drawing / Time for action – drawing a normal distribution, What just happened?
• nose tests decorators
  • about / Nose tests decorators
  • numpy.testing.decorators.deprecated / Nose tests decorators
  • numpy.testing.decorators.knownfailureif / Nose tests decorators
  • numpy.testing.decorators.setastest / Nose tests decorators
  • numpy.testing.decorators.skipif / Nose tests decorators
  • numpy.testing.decorators.slow / Nose tests decorators
• np.arange() function / What just happened?
• nper function / Financial functions
• npv function / Financial functions
• number of periodic payments
  • determining / Time for action – determining the number of periodic payments
• numerical integration
  • about / Numerical integration
  • Gaussian integral, calculating / Time for action – calculating the Gaussian integral
• NumPy
  • about / Python
  • installing, on Windows / Windows, Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • installing, on Linux / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Mandriva / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Gentoo / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Debian or Ubuntu / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Linux
  • installing, on Mac OS X / Time for action – installing NumPy, Matplotlib, and SciPy on Mac OS X
  • installing, with MacPorts or Fink / Time for action – installing NumPy, SciPy, Matplotlib, and IPython with MacPorts or Fink
  • source code, retrieving / Building from source
  • arrays / Arrays
  • vectors, adding / Time for action – adding vectors
  • elements, selecting / Selecting elements
  • numerical types / NumPy numerical types
  • data type objects / Data type objects
  • character codes / Character codes
  • dtype constructors / dtype constructors
  • dtype attributes / dtype attributes
  • one-dimensional slicing / One-dimensional slicing and indexing
  • file I/O / File I/O
  • CSV files / CSV files
  • VWAP, calculating / Volume-weighted average price
  • value range, finding / Value range
  • statistics, performing / Statistics
  • stock returns, analyzing / Stock returns
  • dates, dealing with / Dates
  • data, summarizing weekly / Weekly summary
  • ATR calculation / Average true range
  • simple moving average, computing / Simple moving average
  • exponential moving average, calculating / Exponential moving average
  • Bollinger bands / Bollinger bands
  • linear model / Linear model
  • trend line / Trend lines
  • ndarray methods / Methods of ndarray
  • factorial, calculating / Factorial
  • correlation / Correlation
  • polynomials / Polynomials
  • on-balance volume / On-balance volume
  • simulation / Simulation
  • smoothing / Smoothing
  • matrices / Matrices
  • universal functions / Universal functions
  • arithmetic functions / Arithmetic functions
  • modulo operation / Modulo operation
  • Lissajous curves / Lissajous curves
  • square waves / Square waves
  • bitwise functions / Bitwise and comparison functions
  • comparison functions / Bitwise and comparison functions
  • linear algebra / Linear algebra
  • linear systems, solving / Time for action – solving a linear system
  • Eigenvalues, finding / Finding eigenvalues and eigenvectors
  • Eigenvectors, finding / Finding eigenvalues and eigenvectors
  • singular value decomposition / Singular value decomposition
  • pseudoinverse, calculating / Pseudoinverse
  • determinants, calculating / Determinants
  • Fast Fourier transform, calculating / Time for action – calculating the Fourier transform
  • frequencies, shifting / Time for action – shifting frequencies
  • random numbers / Random numbers
  • hypergeometric distribution / Hypergeometric distribution
  • continuous distributions / Continuous distributions
  • lognormal distribution / Lognormal distribution
  • data sorting routines / Sorting
  • complex numbers, sorting / Time for action – sorting complex numbers
  • searching / Searching
  • elements, extracting from array / Array elements' extraction
  • present value / Present value
  • net present value / Net present value
  • internal rate of return, determining / Internal rate of return
  • periodic payments, calculating / Periodic payments, Time for action – calculating the periodic payments
  • number of periodic payments, determining / Time for action – determining the number of periodic payments
  • interest rate, calculating / Interest rate
  • window functions / Window functions
  • Blackman window / Blackman window
  • Hamming window / Hamming window
  • Kaiser window / Kaiser window
  • special mathematical functions / Special mathematical functions
  • sinc function / sinc
  • assert functions / Assert functions
  • approximately equal arrays, asserting / Time for action – asserting approximately equal
  • arrays almost equal, asserting / Time for action – asserting arrays almost equal
  • equal arrays, asserting / Equal arrays
  • array order, checking / Time for action – checking the array order
  • objects, comparing / Time for action – comparing objects
  • strings, comparing / Time for action – comparing strings
  • floating point comparisons / Floating point comparisons
  • floats, comparing with ULPs / Comparison of floats with more ULPs
  • unit tests / Unit tests
  • nose tests decorators / Nose tests decorators
  • docstrings / Docstrings
• numpy.linalg package / Linear algebra
• NumPy and SciPy forum
  • URL / Online resources and help
• NumPy array object
  • about / NumPy array object
  • multi-dimensional array object / NumPy array object
• NumPy division functions
  • divide function / Time for action – dividing arrays
  • true_divide function / Time for action – dividing arrays
  • floor_divide function / Time for action – dividing arrays
• NumPy numerical types
  • about / NumPy numerical types
  • bool / NumPy numerical types
  • inti / NumPy numerical types
  • int8 / NumPy numerical types
  • int16 / NumPy numerical types
  • int32 / NumPy numerical types
  • int64 / NumPy numerical types
  • uint8 / NumPy numerical types
  • uint16 / NumPy numerical types
  • uint32 / NumPy numerical types
  • uint64 / NumPy numerical types
  • float16 / NumPy numerical types
  • float32 / NumPy numerical types
  • float64 / NumPy numerical types
  • complex64 / NumPy numerical types
  • complex128 / NumPy numerical types
• NumPy reference
  • URL / Online resources and help
• NumPy wiki documentation
  • URL / Online resources and help

O

• % operator
  • about / Time for action – computing the modulo
• objects
  • comparing / Time for action – comparing objects
• Octave
  • about / MATLAB and Octave
• on-balance volume
  • computing / On-balance volume
• one-dimensional slicing
  • about / One-dimensional slicing and indexing
• optimization
  • about / Mathematical optimization
  • sine, fitting to / Time for action – fitting to a sine, What just happened?
• outer method
  • applying, on add function / Time for action – applying the ufunc methods on add

P

• periodic payments
  • calculating / Time for action – calculating the periodic payments
• piecewise function / Time for action – balancing volume
• plot format string
  • about / Plot format string
  • polynomial and derivative, plotting / Time for action – plotting a polynomial and its derivative, What just happened?
• plot regions
  • shading, based on condition / Time for action – shading plot regions based on a condition
• plots
  • animating / Time for action – animating plots, What just happened?
• plt.figure() function / What just happened?
• pmt function / Financial functions
• polyder function / Time for action – fitting to polynomials
• polyfit function / Time for action – fitting to polynomials, What just happened?
• polynomial function
  • plotting / Time for action – plotting a polynomial function, What just happened?
• polynomials
  • about / Polynomials
  • fitting to / Time for action – fitting to polynomials
• polysub function
  • about / What just happened?
• polyval function / Time for action – fitting to polynomials
• present value
  • about / Present value
  • computing / Time for action – getting the present value
• probability density functions (pdf)
  • about / Continuous distributions
• prod function
  • about / Time for action – calculating the factorial
• pseudoinverse
  • about / Pseudoinverse
• pseudoinverse, of matrix
  • computing / Time for action – computing the pseudo inverse of a matrix
• Pseudo random numbers
  • about / Random numbers
• pv function / Financial functions
• Pygame
  • about / Pygame
  • installing / Time for action – installing Pygame
  • for Debian and Ubuntu / Time for action – installing Pygame
  • for Windows / Time for action – installing Pygame
  • for Mac / Time for action – installing Pygame
  • Hello World example / Hello World
  • animation / Animation
  • clock object / Animation
  • Matplotlib, using / Time for action – using Matplotlib in Pygame
  • surface pixel data, accessing / Surface pixels
  • AI / Artificial intelligence
  • game, simulating / Simulation game with PyGame
• pygame.display.set_caption() function / What just happened?
• pygame.display.set_mode((w,h) function / What just happened?
• pygame.display.set_mode() function / What just happened?
• pygame.display.update() function / What just happened?
• pygame.draw.polygon(screen, (255, 0, 0), polygon_points[i]) function
  • about / What just happened?
• pygame.event.get() function / What just happened?
• pygame.font.SysFont() function / What just happened?
• pygame.init() function / What just happened?
• pygame.OPENGL|pygame.DOUBLEBUF) function / What just happened?
• pygame.quit() function / What just happened?
• pygame.surfarray.array2d() function / What just happened?
• pygame.surfarray.blit_array() function / What just happened?
• Pygame surfarray module / Surface pixels
• pylab mode, IPython
  • about / Online resources and help
• PyOpenGL
  • installing / OpenGL and Pygame
  • about / OpenGL and Pygame
  • Sierpinski gasket, drawing / Time for action – drawing the Sierpinski gasket
• Python
  • about / Python
  • installing, on Debian and Ubuntu / Time for action – installing Python on different operating systems
  • installing, on Windows / Time for action – installing Python on different operating systems
  • installing, on Mac / Time for action – installing Python on different operating systems

Q

• quad function / Time for action – calculating the Gaussian integral, What just happened?

R

• random numbers
  • about / Random numbers
• rate function / Financial functions
• real attribute
  • about / Array attributes
• Real random numbers
  • about / Random numbers
• record data type
  • creating / Time for action – creating a record data type
• reduceat method
  • applying, on add function / Time for action – applying the ufunc methods on add
• reduce method
  • applying, on add function / Time for action – applying the ufunc methods on add
• remainder function
  • about / Time for action – computing the modulo
• reshape function / Time for action – manipulating array shapes
• rint function / Fibonacci numbers
• row stacking
  • about / Time for action – stacking arrays
• row_stack function
  • about / Time for action – stacking arrays
• rundocs function / What just happened?

S

• sample comparison
  • stock log returns, comparing / Time for action – comparing stock log returns
• savemat function / MATLAB and Octave
• savetxt function / Time for action – reading and writing files, Time for action – summarizing data
• sawtooth and triangle waves
  • about / Sawtooth and triangle waves
  • formula / Sawtooth and triangle waves
  • drawing / Time for action – drawing sawtooth and triangle waves, What just happened?
• scatter function / Scatter plots
• scatter plots
  • about / Scatter plots
  • price and volume returns, plotting / Time for action – plotting price and volume returns with scatter plot
• scikit-learn project
  • about / Artificial intelligence
• SciKits
  • about / Samples’ comparison and SciKits
• scikits.statsmodels.stattools / Samples’ comparison and SciKits
• SciPy
  • installing, on Windows / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • installing, on Linux / Linux
  • installing, on Mac OS X / Time for action – installing NumPy, Matplotlib, and SciPy on Mac OS X
  • installing, with MacPorts or Fink / Time for action – installing NumPy, SciPy, Matplotlib, and IPython with MacPorts or Fink
  • MATLAB or Octave matrices, loading / Time for action – saving and loading a .mat file
  • scipy.stats / Statistics
  • statistics / Statistics
  • stock log returns, comparing / Time for action – comparing stock log returns
  • signal processing / Signal processing
  • Fourier analysis / Fourier analysis
  • mathematical optimization / Mathematical optimization
  • numerical integration / Numerical integration
  • interpolation / Interpolation
  • image processing / Image processing
  • audio processing / Audio processing
• scipy.fftpack module / Fourier analysis, What just happened?
  • about / Fourier analysis
• scipy.interpolate function / Interpolation
  • about / Interpolation
• scipy.interpolate module / What just happened?
• scipy.io.wavfile module / Time for action – replaying audio clips
• scipy.io package / MATLAB and Octave
• scipy.ndimage module / What just happened?
• scipy.optimize module / Mathematical optimization, What just happened?
• scipy.signal module / Signal processing
  • about / Signal processing
• scipy.stats
  • about / Statistics
  • random values, analyzing / Time for action – analyzing random values, What just happened?
  • data generation, improving / Have a go hero – improving the data generation
• scipy.stats.norm.rvs function / Have a go hero – improving the data generation
• SciPy channel
  • about / Online resources and help
• SciPy signal
  • about / Signal processing
  • trend, detecting in QQQ / Time for action – detecting a trend in QQQ, What just happened?
• SciPy statistics module
  • about / Statistics
  • random values, analyzing / Time for action – analyzing random values, What just happened?
• screen.blit() function / What just happened?
• sctypeDict.keys() / dtype constructors
• SDL
  • about / Pygame
• searching, through arrays
  • argmax function / Searching
  • nanargmax function / Searching
  • argmin function / Searching
  • nanargmin function / Searching
  • argwhere function / Searching
  • searchsorted function / Searching
  • extract function / Searching
• searchsorted function
  • about / Searching
  • using / Time for action – using searchsorted, What just happened?
• setastest decorator
  • applying, to test functions / Time for action – decorating tests, What just happened?
  • applying, to methods / Time for action – decorating tests, What just happened?
• shape attribute
  • about / Array attributes
• Sierpinski gasket
  • drawing / Time for action – drawing the Sierpinski gasket
• signal processing
  • about / Signal processing
  • trend detecting, in QQQ / Time for action – detecting a trend in QQQ
• sign function / Time for action – balancing volume
• simple game
  • creating / Time for action – creating a simple game
• simple moving average
  • about / Simple moving average
  • computing / Time for action – computing the simple moving average, What just happened?
• simple plots
  • about / Simple plots
  • polynomial function, plotting / Time for action – plotting a polynomial function, What just happened?
• simulation
  • about / Simulation
  • loops, avoiding with vectorize / Time for action – avoiding loops with vectorize
• sinc function
  • about / sinc
  • plotting / Time for action – plotting the sinc function, What just happened?
  / What just happened?
• sin function / Time for action – drawing Lissajous curves
• singular value decomposition
  • about / Singular value decomposition
  • matrix, decomposing / Time for action – decomposing a matrix
• size attribute
  • about / Array attributes
• sklearn.cluster.AffinityPropagation().fit(S) function
  • about / What just happened?
• smoothing
  • hanning function, used / Time for action – smoothing with the hanning function
• smoothing variations
  • about / Have a go hero – smoothing variations
• sort function
  • about / Sorting
• sort_complex function
  • about / Sorting
• special mathematical functions
  • about / Special mathematical functions
  • Bessel function / Special mathematical functions
• split function
  • about / Time for action – splitting arrays
  / Time for action – summarizing data
• sqrt function / Time for action – analyzing stock returns
• square waves
  • about / Square waves
  • representing / Square waves
  • formula / Square waves
  • drawing / Time for action – drawing a square wave, What just happened?
• Stack Overflow software development forum
  • URL / Online resources and help
• statistics
  • about / Statistics
  • simple statistics, performing / Time for action – doing simple statistics
• std function / Time for action – analyzing stock returns
• stock log returns
  • comparing / Time for action – comparing stock log returns, What just happened?
• stock log returns, comparing
  • quotes, downloading / Time for action – comparing stock log returns
  • log returns, calculating / Time for action – comparing stock log returns
  • Kolmogorov Smirnov test / Time for action – comparing stock log returns
  • Jarque Bera test / Time for action – comparing stock log returns
  • histograms plotting, Matplotlib used / Time for action – comparing stock log returns
• stock quotes
  • plotting / Time for action – plotting a year’s worth of stock quotes, What just happened?
• stock returns
  • analyzing / Time for action – analyzing stock returns
• stock volume
  • plotting / Time for action – plotting stock volume, What just happened?
• strings
  • comparing / Time for action – comparing strings
• strip_zeroes function
  • about / What just happened?
• subplot function / Time for action – plotting a polynomial and its derivatives
• subplots
  • about / Subplots
  • polynomial and its derivatives, plotting / Time for action – plotting a polynomial and its derivatives, What just happened?
• summarize function / Time for action – summarizing data
• surface pixel data
  • accessing, with NumPy / Time for action – accessing surface pixel data with NumPy
• sysFont.render() function / What just happened?

T

• take function / Time for action – dealing with dates
• T attribute
  • about / Array attributes
• three-by-three matrix
  • creating / Have a go hero – create a three-by-three matrix
• three-dimensional plots
  • about / Three dimensional plots
  • plotting / Time for action – plotting in three dimensions, What just happened?
• trend
  • detecting, in QQQ / Time for action – detecting a trend in QQQ, What just happened?
• trend detecting, in QQQ
  • signal, detrending / Time for action – detecting a trend in QQQ
  • locators, creating / Time for action – detecting a trend in QQQ
  • date, formatter / Time for action – detecting a trend in QQQ
  • X axis labels / Time for action – detecting a trend in QQQ
  • diagram / Time for action – detecting a trend in QQQ
• trend line
  • about / Trend lines
  • drawing / Time for action – drawing trend lines, What just happened?
• true_divide function
  • about / Time for action – dividing arrays
• TWAP
  • about / Time-weighted average price
  • calculating / Time-weighted average price

U

• Unit of Least Precision (ULP)
  • comparing / Floating point comparisons
• unit tests
  • about / Assert functions, Unit tests
  • writing / Time for action – writing a unit test, What just happened?
• universal function methods
  • reduce / Universal function methods
  • accumulate / Universal function methods
  • reduceat / Universal function methods
  • out / Universal function methods
  • applying, on add function / Time for action – applying the ufunc methods on add
• universal functions
  • about / Universal functions
  • creating / Time for action – creating universal function
  • methods / Universal function methods
• usecols parameter / Time for action – loading from CSV files

V

• ValueError / Universal function methods
• value range
  • about / Value range
  • highest value, finding / Time for action – finding highest and lowest values
  • lowest value, finding / Time for action – finding highest and lowest values
• variance / Time for action – doing simple statistics
• vectorize function
  • about / Time for action – avoiding loops with vectorize
• vectors, NumPy
  • adding / Time for action – adding vectors
• vertical splitting
  • about / Time for action – splitting arrays
• vertical stacking
  • about / Time for action – stacking arrays
• volume
  • about / On-balance volume
  • balancing / Time for action – balancing volume, What just happened?
• vsplit function
  • about / Time for action – splitting arrays
• vstack function
  • about / Time for action – stacking arrays
• VWAP
  • about / Volume-weighted average price
  • calculating / Time for action – calculating volume-weighted average price, What just happened?

W

• where function / Time for action – analyzing stock returns
• window functions
  • about / Window functions
  • bartlett / Window functions
  • blackman / Window functions
  • hamming / Window functions
  • hanning / Window functions
  • kaiser / Window functions
  • Bartlett window, plotting / Time for action – plotting the Bartlett window
• Windows
  • Python, installing / Time for action – installing Python on different operating systems
  • NumPy, installing / Windows, Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • SciPy, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • Matplotlib, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
  • IPython, installing / Time for action – installing NumPy, Matplotlib, SciPy, and IPython on Windows
• write function / Time for action – replaying audio clips

X

• XOR operator / Time for action – twiddling bits

Y

• Yahoo Finance
  • URL / Finance