Attachment 'terminal_7.txt'
Download 1 Last login: Fri Jan 30 08:31:05 on ttys000
2 odd% cd
3 odd% cd wp/lecture/2015_01_Intro_Programming/lecture7
4 odd% ls
5 pubmed.py test.txt x.py
6 odd% vi pubmed.py
7 odd% python pubmed.py
8 File "pubmed.py", line 26
9 SyntaxError: Non-ASCII character '\xe2' in file pubmed.py on line 26, but no encoding declared; see http://www.python.org/peps/pep-0263.html for details
10 odd% !vi
11 vi pubmed.py
12 odd% python pubmed.py
13 Enter author name: LUDTKE SJ
14 Traceback (most recent call last):
15 File "pubmed.py", line 10, in <module>
16 handle = Entrez.esearch(db="pubmed", term="{}[Author]".format(author), retmax=500)
17 File "/Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/__init__.py", line 185, in esearch
18 return _open(cgi, variables)
19 File "/Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/__init__.py", line 463, in _open
20 handle = _urlopen(cgi)
21 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 127, in urlopen
22 return _opener.open(url, data, timeout)
23 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 404, in open
24 response = self._open(req, data)
25 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 422, in _open
26 '_open', req)
27 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 382, in _call_chain
28 result = func(*args)
29 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 1214, in http_open
30 return self.do_open(httplib.HTTPConnection, req)
31 File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 1184, in do_open
32 raise URLError(err)
33 urllib2.URLError: <urlopen error [Errno 8] nodename nor servname provided, or not known>
34 odd% python pubmed.py
35 Enter author name: ludtke sj
36 /Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/Parser.py:525: UserWarning: Unable to load DTD file esearch.dtd.
37
38 Bio.Entrez uses NCBI's DTD files to parse XML files returned by NCBI Entrez.
39 Though most of NCBI's DTD files are included in the Biopython distribution,
40 sometimes you may find that a particular DTD file is missing. While we can
41 access the DTD file through the internet, the parser is much faster if the
42 required DTD files are available locally.
43
44 For this purpose, please download esearch.dtd from
45
46 http://eutils.ncbi.nlm.nih.gov/eutils/dtd/20060628/esearch.dtd
47
48 and save it either in directory
49
50 /Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/DTDs
51
52 or in directory
53
54 /Users/stevel/.biopython/Bio/Entrez/DTDs
55
56 in order for Bio.Entrez to find it.
57
58 Alternatively, you can save esearch.dtd in the directory
59 Bio/Entrez/DTDs in the Biopython distribution, and reinstall Biopython.
60
61 Please also inform the Biopython developers about this missing DTD, by
62 reporting a bug on https://github.com/biopython/biopython/issues or sign
63 up to our mailing list and emailing us, so that we can include it with the
64 next release of Biopython.
65
66 Proceeding to access the DTD file through the internet...
67
68 warnings.warn(message)
69 Traceback (most recent call last):
70 File "pubmed.py", line 26, in <module>
71 coauthlast.update(r["AU"].split()[0])
72 AttributeError: 'list' object has no attribute 'split'
73 odd% !vi
74 vi pubmed.py
75 odd% python pubmed.py
76 Enter author name: ludtke sj
77 /Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/Parser.py:525: UserWarning: Unable to load DTD file esearch.dtd.
78
79 Bio.Entrez uses NCBI's DTD files to parse XML files returned by NCBI Entrez.
80 Though most of NCBI's DTD files are included in the Biopython distribution,
81 sometimes you may find that a particular DTD file is missing. While we can
82 access the DTD file through the internet, the parser is much faster if the
83 required DTD files are available locally.
84
85 For this purpose, please download esearch.dtd from
86
87 http://eutils.ncbi.nlm.nih.gov/eutils/dtd/20060628/esearch.dtd
88
89 and save it either in directory
90
91 /Library/Python/2.7/site-packages/biopython-1.63-py2.7-macosx-10.9-intel.egg/Bio/Entrez/DTDs
92
93 or in directory
94
95 /Users/stevel/.biopython/Bio/Entrez/DTDs
96
97 in order for Bio.Entrez to find it.
98
99 Alternatively, you can save esearch.dtd in the directory
100 Bio/Entrez/DTDs in the Biopython distribution, and reinstall Biopython.
101
102 Please also inform the Biopython developers about this missing DTD, by
103 reporting a bug on https://github.com/biopython/biopython/issues or sign
104 up to our mailing list and emailing us, so that we can include it with the
105 next release of Biopython.
106
107 Proceeding to access the DTD file through the internet...
108
109 warnings.warn(message)
110 ['Dai W', 'Fu C', 'Khant HA', 'Ludtke SJ', 'Schmid MF', 'Chiu W']
111 Traceback (most recent call last):
112 File "pubmed.py", line 27, in <module>
113 coauthlast.update(r["AU"].split()[0])
114 AttributeError: 'list' object has no attribute 'split'
115 odd% python
116 Python 2.7.6 (default, Sep 9 2014, 15:04:36)
117 [GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.39)] on darwin
118 Type "help", "copyright", "credits" or "license" for more information.
119 >>> a={}
120 >>> a=dict()
121 >>> a
122 {}
123 >>> auth={}
124 >>> a="test"
125 >>> auth[a]+=1
126 Traceback (most recent call last):
127 File "<stdin>", line 1, in <module>
128 KeyError: 'test'
129 >>> try: auth[a]+=1
130 ... except: auth[a]=1
131 ...
132 >>> auth
133 {'test': 1}
134 >>> try: auth[a]+=1
135 ... except: auth[a]=1
136 ...
137 >>> auth
138 {'test': 2}
139 >>> auth["alpha"]=10
140 >>> auth["beta"]=1
141 >>> auth
142 {'test': 2, 'alpha': 10, 'beta': 1}
143 >>> print auth
144 {'test': 2, 'alpha': 10, 'beta': 1}
145 >>> authl=list(auth)
146 >>> authl
147 ['test', 'alpha', 'beta']
148 >>> authl=auth.items()
149 >>> authl
150 [('test', 2), ('alpha', 10), ('beta', 1)]
151 >>> authl.sort()
152 >>> authl
153 [('alpha', 10), ('beta', 1), ('test', 2)]
154 >>> authl2=[(a[1],a[0]) for a in authl]
155 >>> authl2
156 [(10, 'alpha'), (1, 'beta'), (2, 'test')]
157 >>> authl2.sort()
158 >>> authl2
159 [(1, 'beta'), (2, 'test'), (10, 'alpha')]
160 >>> authl2.reverse()
161 >>> authl2
162 [(10, 'alpha'), (2, 'test'), (1, 'beta')]
163 >>> authl2.sort(reversed=True)
164 Traceback (most recent call last):
165 File "<stdin>", line 1, in <module>
166 TypeError: 'reversed' is an invalid keyword argument for this function
167 >>> authl2.sort(reverse=True)
168 >>> authl
169 [('alpha', 10), ('beta', 1), ('test', 2)]
170 >>> def f(x,y): return x[1]-y[1]
171 ...
172 >>> authl.sort(f)
173 >>> authl
174 [('beta', 1), ('test', 2), ('alpha', 10)]
175 >>> def f(x,y): return y[1]-x[1]
176 ...
177 >>> authl.sort(f)
178 >>> authl
179 [('alpha', 10), ('test', 2), ('beta', 1)]
180 >>> def f(x,y):
181 ... print x
182 ... print y
183 ... print "----"
184 ... return y[1]-x[1]
185 ...
186 >>> authl.sort(f)
187 ('test', 2)
188 ('alpha', 10)
189 ----
190 ('beta', 1)
191 ('test', 2)
192 ----
193 >>> a={1,2,5,7}
194 >>> a
195 set([1, 2, 5, 7])
196 >>> a[0]
197 Traceback (most recent call last):
198 File "<stdin>", line 1, in <module>
199 TypeError: 'set' object does not support indexing
200 >>> for i in a:
201 ... print i
202 ...
203 1
204 2
205 5
206 7
207 >>>
208 odd%
209 odd% vi x.py
210 odd% python x.py
211 2 3 4 5 6 7 8 9 10
212 2 4 8 16 32 64 128 256 512 1024
213 3 9 27 81 243 729 2187 6561 19683 59049
214 4 16 64 256 1024 4096 16384 65536 2.6214e+05 1.0486e+06
215 5 25 125 625 3125 15625 78125 3.9062e+05 1.9531e+06 9.7656e+06
216 6 36 216 1296 7776 46656 2.7994e+05 1.6796e+06 1.0078e+07 6.0466e+07
217 7 49 343 2401 16807 1.1765e+05 8.2354e+05 5.7648e+06 4.0354e+07 2.8248e+08
218 8 64 512 4096 32768 2.6214e+05 2.0972e+06 1.6777e+07 1.3422e+08 1.0737e+09
219 9 81 729 6561 59049 5.3144e+05 4.783e+06 4.3047e+07 3.8742e+08 3.4868e+09
220 10 100 1000 10000 1e+05 1e+06 1e+07 1e+08 1e+09 1e+10
221 odd% ls
222 pubmed.py test.txt x.py
223 odd% cat test.txt
224 0.0 1.0
225 0.327194696796 0.944956946315
226 0.61836980307 0.785887260777
227 0.841470984808 0.540302305868
228 0.971937901363 0.235237573303
229 0.995407957752 -0.0957235480144
230 0.909297426826 -0.416146836547
231 0.723085881738 -0.69075813975
232 0.457272626636 -0.889326568213
233 0.14112000806 -0.9899924966
234 -0.190567962875 -0.981674004711
235 -0.501277048588 -0.865286842936
236 -0.756802495308 -0.653643620864
237 -0.929014501271 -0.370043316963
238 -0.998954917098 -0.0457063847386
239 -0.958924274663 0.283662185463
240 -0.813329391568 0.581803489859
241 -0.578198241744 0.815896312802
242 -0.279415498199 0.96017028665
243 0.0501270098822 0.998742851229
244 odd% ipython
245 Python 2.7.6 (default, Sep 9 2014, 15:04:36)
246 Type "copyright", "credits" or "license" for more information.
247
248 IPython 2.0.0 -- An enhanced Interactive Python.
249 ? -> Introduction and overview of IPython's features.
250 %quickref -> Quick reference.
251 help -> Python's own help system.
252 object? -> Details about 'object', use 'object??' for extra details.
253
254 In [1]: lines=file("test.txt","r").readlines()
255
256 In [2]: linex
257 ---------------------------------------------------------------------------
258 NameError Traceback (most recent call last)
259 <ipython-input-2-4cef100df21b> in <module>()
260 ----> 1 linex
261
262 NameError: name 'linex' is not defined
263
264 In [3]: lines
265 Out[3]:
266 ['0.0 1.0\n',
267 '0.327194696796 0.944956946315\n',
268 '0.61836980307 0.785887260777\n',
269 '0.841470984808 0.540302305868\n',
270 '0.971937901363 0.235237573303\n',
271 '0.995407957752 -0.0957235480144\n',
272 '0.909297426826 -0.416146836547\n',
273 '0.723085881738 -0.69075813975\n',
274 '0.457272626636 -0.889326568213\n',
275 '0.14112000806 -0.9899924966\n',
276 '-0.190567962875 -0.981674004711\n',
277 '-0.501277048588 -0.865286842936\n',
278 '-0.756802495308 -0.653643620864\n',
279 '-0.929014501271 -0.370043316963\n',
280 '-0.998954917098 -0.0457063847386\n',
281 '-0.958924274663 0.283662185463\n',
282 '-0.813329391568 0.581803489859\n',
283 '-0.578198241744 0.815896312802\n',
284 '-0.279415498199 0.96017028665\n',
285 '0.0501270098822 0.998742851229\n']
286
287 In [4]: "123
288 Display all 320 possibilities? (y or n)
289 %%! %save chr
290 %%HTML %sc class
291 %%SVG %store classmethod
292 %%bash %sx cmp
293 %%capture %system coerce
294 %%debug %tb compile
295 %%file %time complex
296 %%html %timeit continue
297 %%javascript %unalias copyright
298 %%latex %unload_ext credits
299 %%perl %who def
300 %%prun %who_ls del
301 %%pypy %whos delattr
302 %%python %xdel dict
303 %%python2 %xmode dir
304 %%python3 ArithmeticError divmod
305 %%ruby AssertionError dreload
306 %%script AttributeError elif
307 %%sh BaseException else
308 %%svg BufferError enumerate
309 %%sx BytesWarning eval
310 %%system DeprecationWarning except
311 %%time EOFError exec
312 %%timeit Ellipsis execfile
313 %%writefile EnvironmentError exit
314 %alias Exception file
315 %alias_magic False filter
316 %autocall FloatingPointError finally
317 %autoindent FutureWarning float
318 %automagic GeneratorExit for
319 %bookmark IOError format
320 %cat ImportError from
321 %cd ImportWarning frozenset
322 %clear In get_ipython
323 %colors IndentationError getattr
324 %config IndexError global
325 %cp KeyError globals
326 %cpaste KeyboardInterrupt hasattr
327 %debug LookupError hash
328 %dhist MemoryError help
329 %dirs NameError hex
330 %doctest_mode None id
331 %ed NotImplemented if
332 %edit NotImplementedError import
333 %env OSError in
334 %gui Out input
335 %hist OverflowError int
336 %history PendingDeprecationWarning intern
337 %install_default_config ReferenceError is
338 %install_ext RuntimeError isinstance
339 %install_profiles RuntimeWarning issubclass
340 %killbgscripts StandardError iter
341 %ldir StopIteration lambda
342 %less SyntaxError len
343 %lf SyntaxWarning license
344 %lk SystemError lines
345 %ll SystemExit list
346 %load TabError locals
347 %load_ext True long
348 %loadpy TypeError map
349 %logoff UnboundLocalError max
350 %logon UnicodeDecodeError memoryview
351 %logstart UnicodeEncodeError min
352 %logstate UnicodeError next
353 %logstop UnicodeTranslateError not
354 %ls UnicodeWarning object
355 %lsmagic UserWarning oct
356 %lx ValueError open
357 %macro Warning or
358 %magic ZeroDivisionError ord
359 %man _ pass
360 %matplotlib _3 pow
361 %mkdir __ print
362 %more __IPYTHON__ property
363 %mv __IPYTHON__active pubmed.py
364 %notebook ___ quit
365 %page __builtin__ raise
366 %paste __debug__ range
367 %pastebin __doc__ raw_input
368 %pdb __import__ reduce
369 %pdef __name__ reload
370 %pdoc __package__ repr
371 %pfile _dh return
372 %pinfo _i reversed
373 %pinfo2 _i1 round
374 %popd _i2 set
375 %pprint _i3 setattr
376 %precision _ih slice
377 %profile _ii sorted
378 %prun _iii staticmethod
379 %psearch _oh str
380 %psource _sh sum
381 %pushd abs super
382 %pwd all test.txt
383 %pycat and try
384 %pylab any tuple
385 %quickref apply type
386 %recall as unichr
387 %rehashx assert unicode
388 %reload_ext basestring vars
389 %rep bin while
390 %rerun bool with
391 %reset break x.py
392 %reset_selective buffer xrange
393 %rm bytearray yield
394 %rmdir bytes zip
395 %run callable
396
397 In [4]: "123 444".split()
398 Out[4]: ['123', '444']
399
400 In [5]: lines=file("test.txt","r").read()
401
402 In [6]: lines
403 Out[6]: '0.0 1.0\n0.327194696796 0.944956946315\n0.61836980307 0.785887260777\n0.841470984808 0.540302305868\n0.971937901363 0.235237573303\n0.995407957752 -0.0957235480144\n0.909297426826 -0.416146836547\n0.723085881738 -0.69075813975\n0.457272626636 -0.889326568213\n0.14112000806 -0.9899924966\n-0.190567962875 -0.981674004711\n-0.501277048588 -0.865286842936\n-0.756802495308 -0.653643620864\n-0.929014501271 -0.370043316963\n-0.998954917098 -0.0457063847386\n-0.958924274663 0.283662185463\n-0.813329391568 0.581803489859\n-0.578198241744 0.815896312802\n-0.279415498199 0.96017028665\n0.0501270098822 0.998742851229\n'
404
405 In [7]: lines.split()
406 Out[7]:
407 ['0.0',
408 '1.0',
409 '0.327194696796',
410 '0.944956946315',
411 '0.61836980307',
412 '0.785887260777',
413 '0.841470984808',
414 '0.540302305868',
415 '0.971937901363',
416 '0.235237573303',
417 '0.995407957752',
418 '-0.0957235480144',
419 '0.909297426826',
420 '-0.416146836547',
421 '0.723085881738',
422 '-0.69075813975',
423 '0.457272626636',
424 '-0.889326568213',
425 '0.14112000806',
426 '-0.9899924966',
427 '-0.190567962875',
428 '-0.981674004711',
429 '-0.501277048588',
430 '-0.865286842936',
431 '-0.756802495308',
432 '-0.653643620864',
433 '-0.929014501271',
434 '-0.370043316963',
435 '-0.998954917098',
436 '-0.0457063847386',
437 '-0.958924274663',
438 '0.283662185463',
439 '-0.813329391568',
440 '0.581803489859',
441 '-0.578198241744',
442 '0.815896312802',
443 '-0.279415498199',
444 '0.96017028665',
445 '0.0501270098822',
446 '0.998742851229']
447
448 In [8]:
449
450 In [8]:
451 Do you really want to exit ([y]/n)?
452 odd% ipython
453 Python 2.7.6 (default, Sep 9 2014, 15:04:36)
454 Type "copyright", "credits" or "license" for more information.
455
456 IPython 2.0.0 -- An enhanced Interactive Python.
457 ? -> Introduction and overview of IPython's features.
458 %quickref -> Quick reference.
459 help -> Python's own help system.
460 object? -> Details about 'object', use 'object??' for extra details.
461
462 In [1]: lines=file("test.txt","r").readlines()
463
464 In [2]: values=[]
465
466 In [3]: for l in lines:
467 ...: v=l.split()
468 ...: values.append((float(v[0]),float(v[1])))
469 ...:
470
471 In [4]: values
472 Out[4]:
473 [(0.0, 1.0),
474 (0.327194696796, 0.944956946315),
475 (0.61836980307, 0.785887260777),
476 (0.841470984808, 0.540302305868),
477 (0.971937901363, 0.235237573303),
478 (0.995407957752, -0.0957235480144),
479 (0.909297426826, -0.416146836547),
480 (0.723085881738, -0.69075813975),
481 (0.457272626636, -0.889326568213),
482 (0.14112000806, -0.9899924966),
483 (-0.190567962875, -0.981674004711),
484 (-0.501277048588, -0.865286842936),
485 (-0.756802495308, -0.653643620864),
486 (-0.929014501271, -0.370043316963),
487 (-0.998954917098, -0.0457063847386),
488 (-0.958924274663, 0.283662185463),
489 (-0.813329391568, 0.581803489859),
490 (-0.578198241744, 0.815896312802),
491 (-0.279415498199, 0.96017028665),
492 (0.0501270098822, 0.998742851229)]
493
494 In [5]: values[5]
495 Out[5]: (0.995407957752, -0.0957235480144)
496
497 In [6]: for v in values: print v
498 (0.0, 1.0)
499 (0.327194696796, 0.944956946315)
500 (0.61836980307, 0.785887260777)
501 (0.841470984808, 0.540302305868)
502 (0.971937901363, 0.235237573303)
503 (0.995407957752, -0.0957235480144)
504 (0.909297426826, -0.416146836547)
505 (0.723085881738, -0.69075813975)
506 (0.457272626636, -0.889326568213)
507 (0.14112000806, -0.9899924966)
508 (-0.190567962875, -0.981674004711)
509 (-0.501277048588, -0.865286842936)
510 (-0.756802495308, -0.653643620864)
511 (-0.929014501271, -0.370043316963)
512 (-0.998954917098, -0.0457063847386)
513 (-0.958924274663, 0.283662185463)
514 (-0.813329391568, 0.581803489859)
515 (-0.578198241744, 0.815896312802)
516 (-0.279415498199, 0.96017028665)
517 (0.0501270098822, 0.998742851229)
518
519 In [7]: for x,y in values: print x
520 0.0
521 0.327194696796
522 0.61836980307
523 0.841470984808
524 0.971937901363
525 0.995407957752
526 0.909297426826
527 0.723085881738
528 0.457272626636
529 0.14112000806
530 -0.190567962875
531 -0.501277048588
532 -0.756802495308
533 -0.929014501271
534 -0.998954917098
535 -0.958924274663
536 -0.813329391568
537 -0.578198241744
538 -0.279415498199
539 0.0501270098822
540
541 In [8]: for x,y in values: print y
542 1.0
543 0.944956946315
544 0.785887260777
545 0.540302305868
546 0.235237573303
547 -0.0957235480144
548 -0.416146836547
549 -0.69075813975
550 -0.889326568213
551 -0.9899924966
552 -0.981674004711
553 -0.865286842936
554 -0.653643620864
555 -0.370043316963
556 -0.0457063847386
557 0.283662185463
558 0.581803489859
559 0.815896312802
560 0.96017028665
561 0.998742851229
562
563 In [9]: for x,y,z in values: print y
564 ---------------------------------------------------------------------------
565 ValueError Traceback (most recent call last)
566 <ipython-input-9-51a65087b71e> in <module>()
567 ----> 1 for x,y,z in values: print y
568
569 ValueError: need more than 2 values to unpack
570
571 In [10]: q=[(1,2),(1,3),(1,4)]
572
573 In [11]: q
574 Out[11]: [(1, 2), (1, 3), (1, 4)]
575
576 In [12]: zip(*q)
577 Out[12]: [(1, 1, 1), (2, 3, 4)]
578
579 In [13]: zip([(1,2,3),(1,3,5),(1,4,7),(2,5,8)])
580 Out[13]: [((1, 2, 3),), ((1, 3, 5),), ((1, 4, 7),), ((2, 5, 8),)]
581
582 In [14]: zip((1,2,3),(1,3,5),(1,4,7),(2,5,8))
583 Out[14]: [(1, 1, 1, 2), (2, 3, 4, 5), (3, 5, 7, 8)]
584
585 In [15]: a=10000.0
586
587 In [16]: b=0
588
589 In [17]: for i in xrange(10000): b+=1
590
591 In [18]: a==b
592 Out[18]: True
593
594 In [19]: b
595 Out[19]: 10000
596
597 In [20]: a=10000.0
598
599 In [21]: b=0
600
601 In [22]: for i in xrange(80000): b+=0.125
602
603 In [23]: a==b
604 Out[23]: True
605
606 In [24]: b
607 Out[24]: 10000.0
608
609 In [25]: a=10000.0
610
611 In [26]: b=0
612
613 In [27]: for i in xrange(100000): b+=0.1
614
615 In [28]: a==b
616 Out[28]: False
617
618 In [29]: a
619 Out[29]: 10000.0
620
621 In [30]: b
622 Out[30]: 10000.000000018848
623
624 In [31]: from decimal import Decimal
625
626 In [32]: Decimal(10.1)
627 Out[32]: Decimal('10.0999999999999996447286321199499070644378662109375')
628
629 In [33]: Decimal("10.1")
630 Out[33]: Decimal('10.1')
631
632 In [34]: from fractions import Fraction
633
634 In [35]: Fraction(3,5)
635 Out[35]: Fraction(3, 5)
636
637 In [36]: Fraction(3,5)*Fraction(10,2)
638 Out[36]: Fraction(3, 1)
639
640 In [37]: Fraction(Decimal("10.1"))
641 Out[37]: Fraction(101, 10)
642
643 In [38]: Fraction(10.1)
644 Out[38]: Fraction(5685794529555251, 562949953421312)
645
646 In [39]: help(Fraction)
647
648
649 In [40]: from math import *
650
651 In [41]:
652
653 In [41]: x=[i/1000000.0 for i in xrange(10000000)]
654
655 In [42]: y=[sin(i) for i in x]
656
657 In [43]: len(x)
658 Out[43]: 10000000
659
660 In [44]: from numpy import *
661
662 In [45]:
663
664 In [45]: x=arange(0,10.0,0.000001)
665
666 In [46]: y=sin(x)
667
668 In [47]: len(x)
669 Out[47]: 10000000
670
671 In [48]: type(x_
672 ....:
673 KeyboardInterrupt
674
675 In [48]: type(x)
676 Out[48]: numpy.ndarray
677
678 In [49]: array
679 Out[49]: <function numpy.core.multiarray.array>
680
681 In [50]: a=arange(60)
682
683 In [51]: a
684 Out[51]:
685 array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
686 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
687 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
688 51, 52, 53, 54, 55, 56, 57, 58, 59])
689
690 In [52]: arange(0,1,.1)
691 Out[52]: array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
692
693 In [53]: a=arange(60)
694
695 In [54]: a
696 Out[54]:
697 array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
698 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
699 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
700 51, 52, 53, 54, 55, 56, 57, 58, 59])
701
702 In [55]: a.reshape(6,10)
703 Out[55]:
704 array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
705 [10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
706 [20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
707 [30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
708 [40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
709 [50, 51, 52, 53, 54, 55, 56, 57, 58, 59]])
710
711 In [56]: a.reshape(10,6)
712 Out[56]:
713 array([[ 0, 1, 2, 3, 4, 5],
714 [ 6, 7, 8, 9, 10, 11],
715 [12, 13, 14, 15, 16, 17],
716 [18, 19, 20, 21, 22, 23],
717 [24, 25, 26, 27, 28, 29],
718 [30, 31, 32, 33, 34, 35],
719 [36, 37, 38, 39, 40, 41],
720 [42, 43, 44, 45, 46, 47],
721 [48, 49, 50, 51, 52, 53],
722 [54, 55, 56, 57, 58, 59]])
723
724 In [57]: a.reshape(10,8)
725 ---------------------------------------------------------------------------
726 ValueError Traceback (most recent call last)
727 <ipython-input-57-1c32909cbd3f> in <module>()
728 ----> 1 a.reshape(10,8)
729
730 ValueError: total size of new array must be unchanged
731
732 In [58]: a
733 Out[58]:
734 array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
735 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
736 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
737 51, 52, 53, 54, 55, 56, 57, 58, 59])
738
739 In [59]: b=a.reshape(6,10)
740
741 In [60]: b
742 Out[60]:
743 array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
744 [10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
745 [20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
746 [30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
747 [40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
748 [50, 51, 52, 53, 54, 55, 56, 57, 58, 59]])
749
750 In [61]: b.shape
751 Out[61]: (6, 10)
752
753 In [62]: c=a.reshape(6,5,2)
754
755 In [63]: c
756 Out[63]:
757 array([[[ 0, 1],
758 [ 2, 3],
759 [ 4, 5],
760 [ 6, 7],
761 [ 8, 9]],
762
763 [[10, 11],
764 [12, 13],
765 [14, 15],
766 [16, 17],
767 [18, 19]],
768
769 [[20, 21],
770 [22, 23],
771 [24, 25],
772 [26, 27],
773 [28, 29]],
774
775 [[30, 31],
776 [32, 33],
777 [34, 35],
778 [36, 37],
779 [38, 39]],
780
781 [[40, 41],
782 [42, 43],
783 [44, 45],
784 [46, 47],
785 [48, 49]],
786
787 [[50, 51],
788 [52, 53],
789 [54, 55],
790 [56, 57],
791 [58, 59]]])
792
793 In [64]: a.size
794 Out[64]: 60
795
796 In [65]: b.size
797 Out[65]: 60
798
799 In [66]: b.shape
800 Out[66]: (6, 10)
801
802 In [67]: c.shape
803 Out[67]: (6, 5, 2)
804
805 In [68]: c.ndim
806 Out[68]: 3
807
808 In [69]: c.dtype
809 Out[69]: dtype('int64')
810
811 In [70]: a=arange(0,6.4,.1)
812
813 In [71]: a
814 Out[71]:
815 array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ,
816 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1,
817 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3. , 3.1, 3.2,
818 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. , 4.1, 4.2, 4.3,
819 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4,
820 5.5, 5.6, 5.7, 5.8, 5.9, 6. , 6.1, 6.2, 6.3])
821
822 In [72]: a.dtype
823 Out[72]: dtype('float64')
824
825 In [73]: a
826 Out[73]:
827 array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ,
828 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1,
829 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3. , 3.1, 3.2,
830 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. , 4.1, 4.2, 4.3,
831 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4,
832 5.5, 5.6, 5.7, 5.8, 5.9, 6. , 6.1, 6.2, 6.3])
833
834 In [74]: a.dtype
835 Out[74]: dtype('float64')
836
837 In [75]: b=a.astype("float32")
838
839 In [76]: b
840 Out[76]:
841 array([ 0. , 0.1 , 0.2 , 0.30000001, 0.40000001,
842 0.5 , 0.60000002, 0.69999999, 0.80000001, 0.89999998,
843 1. , 1.10000002, 1.20000005, 1.29999995, 1.39999998,
844 1.5 , 1.60000002, 1.70000005, 1.79999995, 1.89999998,
845 2. , 2.0999999 , 2.20000005, 2.29999995, 2.4000001 ,
846 2.5 , 2.5999999 , 2.70000005, 2.79999995, 2.9000001 ,
847 3. , 3.0999999 , 3.20000005, 3.29999995, 3.4000001 ,
848 3.5 , 3.5999999 , 3.70000005, 3.79999995, 3.9000001 ,
849 4. , 4.0999999 , 4.19999981, 4.30000019, 4.4000001 ,
850 4.5 , 4.5999999 , 4.69999981, 4.80000019, 4.9000001 ,
851 5. , 5.0999999 , 5.19999981, 5.30000019, 5.4000001 ,
852 5.5 , 5.5999999 , 5.69999981, 5.80000019, 5.9000001 ,
853 6. , 6.0999999 , 6.19999981, 6.30000019], dtype=float32)
854
855 In [77]: b.dtype
856 Out[77]: dtype('float32')
857
858 In [78]:
859 Do you really want to exit ([y]/n)?
860 odd%
Attached Files
To refer to attachments on a page, use attachment:filename, as shown below in the list of files. Do NOT use the URL of the [get] link, since this is subject to change and can break easily.- [get | view] (2015-01-12 14:34:20, 48.0 KB) [[attachment:Lab1.pdf]]
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- [get | view] (2015-02-02 14:23:48, 29.5 KB) [[attachment:lab3_hw4.pdf]]
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- [get | view] (2015-01-05 14:50:47, 137.5 KB) [[attachment:lecture_1.pdf]]
- [get | view] (2015-02-09 14:55:50, 56.8 KB) [[attachment:lecture_10.pdf]]
- [get | view] (2015-02-13 14:41:55, 94.8 KB) [[attachment:lecture_11.pdf]]
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- [get | view] (2015-02-02 05:13:00, 0.2 KB) [[attachment:plot.py]]
- [get | view] (2015-01-09 19:50:25, 23.7 KB) [[attachment:practice_soln_1.pdf]]
- [get | view] (2015-01-26 14:15:21, 0.8 KB) [[attachment:pubmed.py]]
- [get | view] (2015-02-02 05:13:16, 20.7 KB) [[attachment:sample1.txt]]
- [get | view] (2015-02-02 05:13:29, 19.7 KB) [[attachment:sample2.txt]]
- [get | view] (2015-02-09 14:23:14, 0.5 KB) [[attachment:tcp_receive.py]]
- [get | view] (2015-02-09 14:22:59, 0.2 KB) [[attachment:tcp_send.py]]
- [get | view] (2015-02-09 16:28:39, 0.4 KB) [[attachment:tcp_send_file.py]]
- [get | view] (2015-01-05 17:15:58, 11.8 KB) [[attachment:terminal_1.txt]]
- [get | view] (2015-01-12 13:12:40, 4157.4 KB) [[attachment:terminal_2.txt]]
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- [get | view] (2015-01-12 14:35:16, 1.0 KB) [[attachment:translate_orig.py]]
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