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python Programming Glossary: np.unique

Cython: “fatal error: numpy/arrayobject.h: No such file or directory”

http://stackoverflow.com/questions/14657375/cython-fatal-error-numpy-arrayobject-h-no-such-file-or-directory

repeats cdef np.ndarray Point indices cdef int x_ y_ _ row np.unique X return_inverse True x_ _.size _ col np.unique Y return_inverse.. y_ _ row np.unique X return_inverse True x_ _.size _ col np.unique Y return_inverse True y_ _.size indices np.rec.fromarrays row.. True y_ _.size indices np.rec.fromarrays row col _ repeats np.unique indices return_inverse True counts 1. fbincount repeats Z.flat..

numpy.unique with order preserved

http://stackoverflow.com/questions/15637336/numpy-unique-with-order-preserved

as np a np.array 'b' 'a' 'b' 'b' 'd' 'a' 'a' 'c' 'c' _ idx np.unique a return_index True print a np.sort idx output 'b' 'a' 'd' 'c'.. pandas as pd a np.random.randint 0 1000 10000 timeit np.unique a timeit pd.unique a 1000 loops best of 3 644 us per loop 10000..

Find unique rows in numpy.array

http://stackoverflow.com/questions/16970982/find-unique-rows-in-numpy-array

a .view np.dtype np.void a.dtype.itemsize a.shape 1 _ idx np.unique b return_index True unique_a a idx unique_a array 0 1 1 1 0.. sped up perhaps at the cost of clarity by doing unique_a np.unique b .view a.dtype .reshape 1 a.shape 1 Also at least on my system.. lexsort method a np.random.randint 2 size 10000 6 timeit np.unique a.view np.dtype np.void a.dtype.itemsize a.shape 1 .view a.dtype..

python - create a pivot table

http://stackoverflow.com/questions/17028329/python-create-a-pivot-table

96 89205 16 146 89205 17 154 89205 18 244 rows row_pos np.unique data 0 return_inverse True cols col_pos np.unique data 1 return_inverse.. row_pos np.unique data 0 return_inverse True cols col_pos np.unique data 1 return_inverse True pivot_table np.zeros len rows len.. 16 146 89205 17 154 89205 18 244 4057 11 4 rows row_pos np.unique data 0 return_inverse True cols col_pos np.unique data 1 return_inverse..

How do I resolve 'NoneType' object has no attribute 'write' error with scikit-learn digits dataset?

http://stackoverflow.com/questions/17139658/how-do-i-resolve-nonetype-object-has-no-attribute-write-error-with-scikit-le

datasets.load_iris iris_X iris.data iris_y iris.target np.unique iris_y array 0 1 2 # Split iris data in train and test data..

Increment Numpy array with repeated indices

http://stackoverflow.com/questions/2004364/increment-numpy-array-with-repeated-indices

incr bbins np.nonzero bbins # create increment array bu np.unique b # sorted unique indices len bu len incr a bu incr Is this.. are risk involved with assuming that the np.bincount and np.unique operations would result in the same sorted order Am I missing..

Python group by array a, and summarize array b - Performance

http://stackoverflow.com/questions/7538382/python-group-by-array-a-and-summarize-array-b-performance

def approach_2 a b bResult sum b i a for i in np.unique a aResult np.unique a Approach 2 numpy.groupby horribly slow.. a b bResult sum b i a for i in np.unique a aResult np.unique a Approach 2 numpy.groupby horribly slow Time 4.65299129486.. def unique_Unutbu a b x np.bincount a weights b aResult np.unique a bResult x aResult Maybe someone finds a smarter solution to..

Intraday candlestick charts using MatPlotLib

http://stackoverflow.com/questions/9673988/intraday-candlestick-charts-using-matplotlib

number of days and create a list of those days ndays np.unique np.trunc data 0 return_index True xdays for n in np.arange len..