python Programming Glossary: reshape

http://stackoverflow.com/questions/10753528/numpy-array-creating-with-a-sequence

this creates a list not an array and hence I cannot reshape it to a vector array. But then when I do this I get an error..

Shade 'cells' in polar plot with matplotlib

http://stackoverflow.com/questions/10837296/shade-cells-in-polar-plot-with-matplotlib

0 2 np.pi 20j 0 1 10j z np.random.random theta.size .reshape theta.shape fig ax1 ax2 plt.subplots ncols 2 subplot_kw dict.. If it's already ordered it may be as simple as calling reshape . Otherwise a simple loop or exploiting numpy.histogram2d with..

Representing and solving a maze given an image

http://stackoverflow.com/questions/12995434/representing-and-solving-a-maze-given-an-image

q 1 q 2 M q 1 q 2 1 0 front front 1 Q front q M q 1 q 2 reshape p 1 1 2 end end push start 0 0 d 0 1 0 1 1 0 1 0 Run BFS while.. end Extracting path path finish while true q path end p reshape M q 1 q 2 1 2 path end 1 p if isequal p start break end end..

Efficient slicing of matrices using matrix multiplication, with Python, NumPy, SciPy

http://stackoverflow.com/questions/14477448/efficient-slicing-of-matrices-using-matrix-multiplication-with-python-numpy-s

matrix multiplication with Python NumPy SciPy I want to reshape a 2d scipy.sparse.csr.csr_matrix let us call it A to a 2d numpy.ndarray.. B should be shape B 9 10 where each 10 rows of A would be reshaped in a new new value namely the maximum of this window and column...

Pandas: reshaping data

http://stackoverflow.com/questions/16637171/pandas-reshaping-data

Removal Nail Salons Beauty Spas And I want to radically reshape it into a dataframe that looks something like this... Yellow..

Peak detection in a 2D array

http://stackoverflow.com/questions/3684484/peak-detection-in-a-2d-array

import matplotlib.pyplot as pp #for some reason I had to reshape. Numpy ignored the shape header. paws_data np.loadtxt paws.txt.. ignored the shape header. paws_data np.loadtxt paws.txt .reshape 4 11 14 #getting a list of images paws p.squeeze for p in np.vsplit..

Slicing of a numpy 2d array, or how do I extract an mxm submatrix from an nxn array (n>m)

http://stackoverflow.com/questions/4257394/slicing-of-a-numpy-2d-array-or-how-do-i-extract-an-mxm-submatrix-from-an-nxn-ar

from it. Here is our array from numpy import x range 16 x reshape x 4 4 print x 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 The line..

Efficient Numpy 2D array construction from 1D array

http://stackoverflow.com/questions/4923617/efficient-numpy-2d-array-construction-from-1d-array

a added dimension of size w. Examples x np.arange 10 .reshape 2 5 rolling_window x 3 array 0 1 2 1 2 3 2 3 4 5 6 7 6 7 8.. x.strides is 8 . x np.arange 9 print x.strides Now if we reshape this into a 2D 3x3 array the strides will be 3 8 8 as we would.. 8 bytes to increment one step along the second axis. y x.reshape 3 3 print y.strides Similarly a transpose is the same as just..

Make a 2D pixel plot with matplotlib

http://stackoverflow.com/questions/6323737/make-a-2d-pixel-plot-with-matplotlib

y temp triples are ordered listed out in rows you can just reshape the temp column. E.g. import numpy as np import matplotlib.pyplot.. for easier unpacking nrows ncols 100 100 grid temp.reshape nrows ncols plt.imshow grid extent x.min x.max y.max y.min ..

Mapping a numpy array in place

http://stackoverflow.com/questions/6824122/mapping-a-numpy-array-in-place

bit by iterating over a flattened view of the array. Since reshape returns a new view when possible the data itself isn't copied... of an arbitrary Python function. def flat_for a f ... a a.reshape 1 ... for i v in enumerate a ... a i f v ... a numpy.arange.. for i v in enumerate a ... a i f v ... a numpy.arange 25 .reshape 5 5 flat_for a lambda x x 5 a array 5 6 7 8 9 10 11 12 13 14..

PPM image to ASCII art in Python

http://stackoverflow.com/questions/7382455/ppm-image-to-ascii-art-in-python

int p for p in image.read .split #converts to array and reshape data np.array data pixels data.reshape len data 3 3 #calculate.. to array and reshape data np.array data pixels data.reshape len data 3 3 #calculate rgb value per pixel rgbs pixels FACTORS..