How to print the full NumPy array without truncation

Question

When I print a numpy array  I get a truncated representation  but I want the full array    Is there any way to do this   Examples    gt  gt  gt  numpy arange 10000  array     0     1     2       9997  9998  9999     gt  gt  gt  numpy arange 10000  reshape 250 40  array      0     1     2         37    38    39             40    41    42         77    78    79             80    81    82        117   118   119                        9880  9881  9882       9917  9918  9919           9920  9921  9922       9957  9958  9959           9960  9961  9962       9997  9998  9999

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Since NumPy version 1 16  for more details see GitHub ticket 12251   from sys import maxsize from numpy import set printoptions  set printoptions threshold maxsize

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This is a slight modification  removed the option to pass additional arguments to set printoptions of neoks answer    It shows how you can use contextlib contextmanager to easily create such a contextmanager with fewer lines of code   import numpy as np from contextlib import contextmanager   contextmanager def show complete array        oldoptions   np get printoptions       np set printoptions threshold np inf      try          yield     finally          np set printoptions   oldoptions    In your code it can be used like this   a   np arange 1001   print a         shows the truncated array  with show complete array        print a     shows the complete array  print a         shows the truncated array  again

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If you re using a jupyter notebook  I found this to be the simplest solution for one off cases  Basically convert the numpy array to a list and then to a string and then print  This has the benefit of keeping the comma separators in the array  whereas using numpyp printoptions threshold np inf  does not  import numpy as np print str np arange 10000  reshape 250 40  tolist

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Using a context manager as Paul Price sugggested  import numpy as np   class fullprint       context manager for printing full numpy arrays       def   init   self    kwargs           kwargs setdefault  threshold   np inf          self opt   kwargs      def   enter   self           self  opt   np get printoptions           np set printoptions   self opt       def   exit   self  type  value  traceback           np set printoptions   self  opt    if   name         main          a   np arange 1001       with fullprint            print a       print a       with fullprint threshold None  edgeitems 10           print a

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Temporary setting If you use NumPy 1 15  released 2018-07-23  or newer  you can use the printoptions context manager  with numpy printoptions threshold numpy inf       print arr    of course  replace numpy by np if that s how you imported numpy  The use of a context manager  the with-block  ensures that after the context manager is finished  the print options will revert to whatever they were before the block started   It ensures the setting is temporary  and only applied to code within the block  See numpy printoptions documentation for details on the context manager and what other arguments it supports

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To turn it off and return to the normal mode   np set printoptions threshold False

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You can use the array2string function - docs   a   numpy arange 10000  reshape 250 40  print numpy array2string a  threshold numpy nan  max line width numpy nan      Big output

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with np printoptions edgeitems 50       print x   Change 50 to how many lines you wanna see Source  here

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Here is a one-off way to do this  which is useful if you don t want to change your default settings   def fullprint  args    kwargs     from pprint import pprint   import numpy   opt   numpy get printoptions     numpy set printoptions threshold numpy inf    pprint  args    kwargs    numpy set printoptions   opt

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import numpy as np np set printoptions threshold np inf    I suggest using np inf instead of np nan which is suggested by others  They both work for your purpose  but by setting the threshold to  infinity  it is obvious to everybody reading your code what you mean  Having a threshold of  not a number  seems a little vague to me

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If you have pandas available       numpy arange 10000  reshape 250 40      print pandas DataFrame a  to string header False  index False     avoids the side effect of requiring a reset of numpy set printoptions threshold sys maxsize  and you don t get the numpy array and brackets  I find this convenient for dumping a wide array into a log file

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The previous answers are the correct ones  but as a weaker alternative you can transform into a list    gt  gt  gt  numpy arange 100  reshape 25 4  tolist      0  1  2  3    4  5  6  7    8  9  10  11    12  13  14  15    16  17  18  19    20  21  22  23    24  25  26  27    28  29  30  31    32  33  34  35    36  37  38  39    40  41  42  43    44  45  46  47    48  49  50  51    52  53  54  55    56  57  58  59    60  61  62  63    64  65  66  67    68  69  70  71    72  73  74  75    76  77  78  79    80  81  82  83    84  85  86  87    88  89  90  91    92  93  94  95    96  97  98  99

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If you are using Jupyter  try the variable inspector extension  You can click each variable to see the entire array

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A slight modification   since you are going to print a huge list   import numpy as np np set printoptions threshold np inf  linewidth 200   x   np arange 1000  print x    This will increase the number of characters per line  default linewidth of 75   Use any value you like for the linewidth which suits your coding environment  This will save you from having to go through huge number of output lines by adding more characters per line

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If an array is too large to be printed  NumPy automatically skips the central part of the array and only prints the corners  To disable this behaviour and force NumPy to print the entire array  you can change the printing options using set printoptions    gt  gt  gt  np set printoptions threshold  nan     or   gt  gt  gt  np set printoptions edgeitems 3 infstr  inf       linewidth 75  nanstr  nan   precision 8      suppress False  threshold 1000  formatter None    You can also refer to the numpy documentation numpy documentation for  or part  for more help

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Use numpy set printoptions   import sys import numpy numpy set printoptions threshold sys maxsize

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Complementary to this answer from the maximum number of columns  fixed with numpy set printoptions threshold numpy nan    there is also a limit of characters to be displayed  In some environments like when calling python from bash  rather than the interactive session   this can be fixed by setting the parameter linewidth as following   import numpy as np np set printoptions linewidth 2000       default   75 Mat   np arange 20000 20150  reshape 2 75       150 elements  75 columns  print Mat    In this case  your window should limit the number of characters to wrap the line   For those out there using sublime text and wanting to see results within the output window  you should add the build option  word wrap   false to the sublime-build file  source

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This sounds like you re using numpy   If that s the case  you can add   import numpy as np np set printoptions threshold np nan    That will disable the corner printing   For more information  see this NumPy Tutorial

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You won t always want all items printed  especially for large arrays    A simple way to show more items   In  349   ar Out 349   array  1  1  1       0  0  0    In  350   ar  100  Out 350   array  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  1         1  1  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0         0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0         0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1         0  0  0  0  0  0  0  0  0  0  1  1     It works fine when sliced array  lt  1000 by default

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Suppose you have a numpy array   arr   numpy arange 10000  reshape 250 40    If you want to print the full array in a one-off way  without toggling np set printoptions   but want something simpler  less code  than the context manager  just do  for row in arr       print row

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numpy savetxt  numpy savetxt sys stdout  numpy arange 10000     or if you need a string   import StringIO sio   StringIO StringIO   numpy savetxt sio  numpy arange 10000   s   sio getvalue   print s   The default output format is   0 000000000000000000e 00 1 000000000000000000e 00 2 000000000000000000e 00 3 000000000000000000e 00       and it can be configured with further arguments   Note in particular how this also not shows the square brackets  and allows for a lot of customization  as mentioned at  How to print a Numpy array without brackets   Tested on Python 2 7 12  numpy 1 11 1

[python] How to print the full NumPy array, without truncation?

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