Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Commit e207cb1

Browse files
committed
Added example
1 parent 17dcb63 commit e207cb1

File tree

1 file changed

+53
-42
lines changed

1 file changed

+53
-42
lines changed

README.rst

Lines changed: 53 additions & 42 deletions
Original file line numberDiff line numberDiff line change
@@ -46,60 +46,60 @@ Neophyte
4646
import numpy as np
4747
4848
49-
#. Print the numpy version and the configuration.
49+
2. Print the numpy version and the configuration.
5050

5151
.. code:: python
5252
5353
print np.__version__
5454
np.__config__.show()
5555
5656
57-
#. Create a null vector of size 10
57+
3. Create a null vector of size 10
5858

5959
.. code:: python
6060
6161
Z = np.zeros(10)
6262
63-
#. Create a null vector of size 10 but the fifth value which is 1
63+
4. Create a null vector of size 10 but the fifth value which is 1
6464

6565
.. code:: python
6666
6767
Z = np.zeros(10)
6868
Z[4] = 1
6969
70-
#. Create a vector with values ranging from 10 to 99
70+
5. Create a vector with values ranging from 10 to 99
7171

7272
.. code:: python
7373
7474
Z = np.arange(10,100)
7575
76-
#. Create a 3x3 matrix with values ranging from 0 to 8
76+
6. Create a 3x3 matrix with values ranging from 0 to 8
7777

7878
.. code:: python
7979
8080
Z = np.arange(9).reshape(3,3)
8181
82-
#. Find indices of non-zero elements from [1,2,0,0,4,0]
82+
7. Find indices of non-zero elements from [1,2,0,0,4,0]
8383

8484
.. code:: python
8585
8686
nz = np.nonzero([1,2,0,0,4,0])
8787
8888
89-
#. Declare a 3x3 identity matrix
89+
8. Declare a 3x3 identity matrix
9090

9191
.. code:: python
9292
9393
Z = np.eye(3)
9494
95-
#. Declare a 5x5 matrix with values 1,2,3,4 just below the diagonal
95+
9. Declare a 5x5 matrix with values 1,2,3,4 just below the diagonal
9696

9797
.. code:: python
9898
9999
Z = np.diag(1+np.arange(4),k=-1)
100100
101101
102-
#. Declare a 10x10x10 array with random values
102+
10. Declare a 10x10x10 array with random values
103103

104104
.. code:: python
105105
@@ -108,28 +108,28 @@ Neophyte
108108
Novice
109109
======
110110

111-
#. Declare a 8x8 matrix and fill it with a checkerboard pattern
111+
1. Declare a 8x8 matrix and fill it with a checkerboard pattern
112112

113113
.. code:: python
114114
115115
Z = np.zeros((8,8))
116116
Z[1::2,::2] = 1
117117
Z[::2,1::2] = 1
118118
119-
#. Declare a 10x10 array with random values and find the minimum and maximum values
119+
2. Declare a 10x10 array with random values and find the minimum and maximum values
120120

121121
.. code:: python
122122
123123
Z = np.random.random((10,10))
124124
Zmin, Zmax = Z.min(), Z.max()
125125
126-
#. Create a checkerboard 8x8 matrix using the tile function
126+
3. Create a checkerboard 8x8 matrix using the tile function
127127

128128
.. code:: python
129129
130130
Z = np.tile( np.array([[0,1],[1,0]]), (4,4))
131131
132-
#. Normalize a 5x5 random matrix (between 0 and 1)
132+
4. Normalize a 5x5 random matrix (between 0 and 1)
133133

134134
.. code:: python
135135
@@ -138,42 +138,42 @@ Novice
138138
Z = (Z - Zmin)/(Zmax - Zmin)
139139
140140
141-
#. Multiply a 5x3 matrix by a 3x2 matrix (real matrix product)
141+
5. Multiply a 5x3 matrix by a 3x2 matrix (real matrix product)
142142

143143
.. code:: python
144144
145145
Z = np.dot(np.ones((5,3)), np.ones((3,2)))
146146
147147
148-
#. Create a 10x10 matrix with row values ranging from 0 to 9
148+
6. Create a 10x10 matrix with row values ranging from 0 to 9
149149

150150
.. code:: python
151151
152152
Z = np.zeros((10,10))
153153
Z += np.arange(10)
154154
155-
#. Create a vector of size 1000 with values ranging from 0 to 1, both excluded
155+
7. Create a vector of size 1000 with values ranging from 0 to 1, both excluded
156156

157157
.. code:: python
158158
159159
Z = np.random.linspace(0,1,1002,endpoint=True)[1:-1]
160160
161-
#. Create a random vector of size 100 and sort it
161+
8. Create a random vector of size 100 and sort it
162162

163163
.. code:: python
164164
165165
Z = np.random.random(100)
166166
Z.sort()
167167
168-
#. Consider two random matrices A anb B, check if they are equal.
168+
9. Consider two random matrices A anb B, check if they are equal.
169169

170170
.. code:: python
171171
172172
A = np.random.randint(0,2,(2,2))
173173
B = np.random.randint(0,2,(2,2))
174174
equal = np.allclose(A,B)
175175
176-
#. Create a random vector of size 1000 and find the mean value
176+
10. Create a random vector of size 1000 and find the mean value
177177

178178
.. code:: python
179179
@@ -186,15 +186,15 @@ Apprentice
186186
==========
187187

188188

189-
#. Make an array immutable
189+
1. Make an array immutable
190190

191191
.. code:: python
192192
193193
Z = np.zeros(10)
194194
Z.flags.writeable = False
195195
196196
197-
#. Consider a random 100x2 matrix representing cartesian coordinates, convert
197+
2. Consider a random 100x2 matrix representing cartesian coordinates, convert
198198
them to polar coordinates
199199

200200
.. code:: python
@@ -205,15 +205,15 @@ Apprentice
205205
T = np.arctan2(Y,X)
206206
207207
208-
#. Create random vector of size 100 and replace the maximum value by 0
208+
3. Create random vector of size 100 and replace the maximum value by 0
209209

210210
.. code:: python
211211
212212
Z = np.random.random(100)
213213
Z[Z.argmax()] = 0
214214
215215
216-
#. Declare a structured array with ``x`` and ``y`` coordinates covering the
216+
4. Declare a structured array with ``x`` and ``y`` coordinates covering the
217217
[0,1]x[0,1] area.
218218

219219
.. code:: python
@@ -222,7 +222,7 @@ Apprentice
222222
Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,10),
223223
np.linspace(0,1,10))
224224
225-
#. Print the minimum and maximum representable value for each numpy scalar type
225+
5. Print the minimum and maximum representable value for each numpy scalar type
226226

227227
.. code:: python
228228
@@ -235,7 +235,7 @@ Apprentice
235235
print np.finfo(dtype).eps
236236
237237
238-
#. Create a structured array representing a position (x,y) and a color (r,g,b)
238+
6. Create a structured array representing a position (x,y) and a color (r,g,b)
239239

240240
.. code:: python
241241
@@ -246,7 +246,7 @@ Apprentice
246246
('b', float, 1)])])
247247
248248
249-
#. Consider a random vector with shape (100,2) representing coordinates, find
249+
7. Consider a random vector with shape (100,2) representing coordinates, find
250250
point by point distances
251251

252252
.. code:: python
@@ -261,7 +261,7 @@ Apprentice
261261
262262
263263
264-
#. Generate a generic 2D Gaussian-like array
264+
8. Generate a generic 2D Gaussian-like array
265265

266266
.. code:: python
267267
@@ -270,7 +270,7 @@ Apprentice
270270
sigma, mu = 1.0, 0.0
271271
G = np.exp(-( (D-mu)**2 / ( 2.0 * sigma**2 ) ) )
272272
273-
#. Consider the vector [1, 2, 3, 4, 5], how to build a new vector with 3
273+
9. Consider the vector [1, 2, 3, 4, 5], how to build a new vector with 3
274274
consecutive zeros interleaved between each value ?
275275

276276
.. code:: python
@@ -283,7 +283,7 @@ Apprentice
283283
Z0[::nz+1] = Z
284284
285285
286-
#. Find the nearest value from a given value in an array
286+
10. Find the nearest value from a given value in an array
287287

288288
.. code:: python
289289
@@ -294,7 +294,7 @@ Apprentice
294294
Journeyman
295295
==========
296296

297-
#. Consider the following file::
297+
1. Consider the following file::
298298

299299
1,2,3,4,5
300300
6,,,7,8
@@ -307,7 +307,7 @@ Journeyman
307307
Z = genfromtxt("missing.dat", delimiter=",")
308308

309309

310-
#. Consider a generator function that generates 10 integers and use it to build an
310+
2. Consider a generator function that generates 10 integers and use it to build an
311311
array
312312

313313
.. code:: python
@@ -318,7 +318,7 @@ Journeyman
318318
Z = np.fromiter(generate(),dtype=float,count=-1)
319319
320320
321-
#. Consider a given vector, how to add 1 to each element indexed by a second
321+
3. Consider a given vector, how to add 1 to each element indexed by a second
322322
vector (be careful with repeated indices) ?
323323

324324
.. code:: python
@@ -330,7 +330,7 @@ Journeyman
330330
Z += np.bincount(I, minlength=len(Z))
331331
332332
333-
#. How to accumulate elements of a vector (X) to an array (F) based on an index
333+
4. How to accumulate elements of a vector (X) to an array (F) based on an index
334334
list (I) ?
335335

336336
.. code:: python
@@ -341,7 +341,7 @@ Journeyman
341341
I = [1,3,9,3,4,1]
342342
F = np.bincount(I,X)
343343
344-
#. Considering a (w,h,3) image of (dtype=ubyte), compute the number of unique
344+
5. Considering a (w,h,3) image of (dtype=ubyte), compute the number of unique
345345
colors
346346

347347
.. code:: python
@@ -355,7 +355,7 @@ Journeyman
355355
356356
np.unique(I)
357357
358-
#. Considering a four dimensions array, how to get sum over the last two axis at once ?
358+
6. Considering a four dimensions array, how to get sum over the last two axis at once ?
359359

360360

361361
.. code:: python
@@ -365,10 +365,11 @@ Journeyman
365365
366366
367367
368+
368369
Craftsman
369370
=========
370371

371-
#. Consider a one-dimensional array Z, build a two-dimensional array whose
372+
1. Consider a one-dimensional array Z, build a two-dimensional array whose
372373
first row is (Z[0],Z[1],Z[2]) and each subsequent row is shifted by 1 (last
373374
row should be (Z[-3],Z[-2],Z[-1])
374375

@@ -383,7 +384,7 @@ Craftsman
383384
384385
Z = rolling(np.arange(100), 3)
385386
386-
#. Consider a set of 100 triplets describing 100 triangles (with shared
387+
2. Consider a set of 100 triplets describing 100 triangles (with shared
387388
vertices), find the set of unique line segments composing all the triangles.
388389

389390
.. code:: python
@@ -399,11 +400,21 @@ Craftsman
399400
G = np.unique(G)
400401
401402
403+
3. Given an array C that is a bincount, how to procude an array A such that
404+
np.bincount(A) == C ?
405+
406+
.. code:: python
407+
408+
# Jaime Fernández del Río
409+
C = np.bincount([1,1,2,3,4,4,6])
410+
A = np.repeat(np.arange(len(C)), C)
411+
412+
402413
403414
Artisan
404415
=======
405416

406-
#. Considering a 100x3 matrix, extract rows with unequal values (e.g. [2,2,3])
417+
1. Considering a 100x3 matrix, extract rows with unequal values (e.g. [2,2,3])
407418

408419
.. code:: python
409420
@@ -413,7 +424,7 @@ Artisan
413424
E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)
414425
U = Z[~E]
415426
416-
#. Convert a vector of ints into a matrix binary representation.
427+
2. Convert a vector of ints into a matrix binary representation.
417428

418429
.. code:: python
419430
@@ -433,7 +444,7 @@ Artisan
433444
Adept
434445
=====
435446

436-
#. Consider an arbitrary array, write a function that extract a subpart with a
447+
1. Consider an arbitrary array, write a function that extract a subpart with a
437448
fixed shape and centered on a given element (pad with a ``fill`` value when
438449
necessary)
439450

@@ -473,7 +484,7 @@ Adept
473484
Expert
474485
======
475486

476-
#. Consider two arrays A and B of shape (8,3) and (2,2). How to find rows of A
487+
1. Consider two arrays A and B of shape (8,3) and (2,2). How to find rows of A
477488
that contain elements of each row of B regardless of the order of the elements
478489
in B ?
479490

@@ -488,7 +499,7 @@ Expert
488499
rows = (C.sum(axis=(1,2,3)) >= B.shape[1]).nonzero()[0]
489500
490501
491-
#. Extract all the contiguous 3x3 blocks from a random 10x10 matrix.
502+
2. Extract all the contiguous 3x3 blocks from a random 10x10 matrix.
492503

493504
.. code:: python
494505

0 commit comments

Comments
 (0)