How do you change specific elements in a char array of string?

[JoeB]

Consider the following char array:

a = chararray((3, 3))
print a

which is displayed as

Output:
chararray([['', '', ''],
       ['', '', ''],
       ['', '', '']], 
      dtype='|S1')

I want to change a specific element. So far I have only figured out how to edit entire rows or the entire array. For example:

a[:] = 'b'
print a

a[1:2] = 'c'
print a

#a[1:] does nothing etc etc

Output:
Out[10]: 
chararray([['b', 'b', 'b'],
       ['b', 'b', 'b'],
       ['b', 'b', 'b']], 
      dtype='|S1')

Out[12]: 
chararray([['b', 'b', 'b'],
       ['c', 'c', 'c'],
       ['b', 'b', 'b']], 
      dtype='|S1')

I have tried things such as a[1][2]='K' to no avail. I would think that this would edit the element corresponding to the row in index 1, and the column in index 2, but it doesn't.

Some help please?

[Mekire]

Firstly, you need to make it clear you are using numpy.  chararray is not a builtin type.

Secondly,

I would think that this would edit the element corresponding to the row in index 1, and the column in index 2, but it doesn't.

It absolutely DOES work this way.

Hide/Show

>>> a = np.chararray((3,3))
>>> a[:] = "a" #set whole array to element
>>> a
chararray([['a', 'a', 'a'],
       ['a', 'a', 'a'],
       ['a', 'a', 'a']],
      dtype='|S1')
>>> a[0,:] = "b" # set whole row to element
>>> a
chararray([['b', 'b', 'b'],
       ['a', 'a', 'a'],
       ['a', 'a', 'a']],
      dtype='|S1')
>>> a[:,1] = "c" # set whole column to element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'a'],
       ['a', 'c', 'a']],
      dtype='|S1')
>>> a[1,2] = "d" # set single element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'd'],
       ['a', 'c', 'a']],
      dtype='|S1')
>>> a[2][2] = "e" # set single element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'd'],
       ['a', 'c', 'e']],
      dtype='|S1')
>>>

[JoeB]

Firstly, you need to make it clear you are using numpy.  chararray is not a builtin type.

Secondly,

I would think that this would edit the element corresponding to the row in index 1, and the column in index 2, but it doesn't.

It absolutely DOES work this way.

Hide/Show

>>> a = np.chararray((3,3))
>>> a[:] = "a" #set whole array to element
>>> a
chararray([['a', 'a', 'a'],
       ['a', 'a', 'a'],
       ['a', 'a', 'a']],
      dtype='|S1')
>>> a[0,:] = "b" # set whole row to element
>>> a
chararray([['b', 'b', 'b'],
       ['a', 'a', 'a'],
       ['a', 'a', 'a']],
      dtype='|S1')
>>> a[:,1] = "c" # set whole column to element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'a'],
       ['a', 'c', 'a']],
      dtype='|S1')
>>> a[1,2] = "d" # set single element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'd'],
       ['a', 'c', 'a']],
      dtype='|S1')
>>> a[2][2] = "e" # set single element
>>> a
chararray([['b', 'c', 'b'],
       ['a', 'c', 'd'],
       ['a', 'c', 'e']],
      dtype='|S1')
>>>

OK. So why isn't the following working:

Output:
In [33]: b = numpy.chararray((4, 4))

In [34]: b
Out[34]: 
chararray([['', '', '', ''],
       ['', '', '', ''],
       ['', '', '', ''],
       ['', '', '', '']], 
      dtype='|S1')

In [35]: b[1][2] = 'a'

In [36]: b
Out[36]: 
chararray([['', '', '', ''],
       ['', '', '', ''],
       ['', '', '', ''],
       ['', '', '', '']], 
      dtype='|S1')

[cryomick]

What IDE are you using? I tried this in IDLE and got the following result:

>>>a = np.chararray((3,3))
>>> a
chararray([['', '\x01', ''],
       ['\x01', '', ''],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[0][0]='b'
>>> a
chararray([['b', '\x01', ''],
       ['\x01', '', ''],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[1][2]='a'
>>> a
chararray([['b', '\x01', ''],
       ['\x01', '', 'a'],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[0][1]='c'
>>> a
chararray([['b', 'c', ''],
       ['\x01', '', 'a'],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')

Isn't this what you were expecting?

[JoeB]

What IDE are you using? I tried this in IDLE and got the following result:

>>>a = np.chararray((3,3))
>>> a
chararray([['', '\x01', ''],
       ['\x01', '', ''],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[0][0]='b'
>>> a
chararray([['b', '\x01', ''],
       ['\x01', '', ''],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[1][2]='a'
>>> a
chararray([['b', '\x01', ''],
       ['\x01', '', 'a'],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')
>>> a[0][1]='c'
>>> a
chararray([['b', 'c', ''],
       ['\x01', '', 'a'],
       ['\x01', '\x01', '\x01']], 
      dtype='|S1')

Isn't this what you were expecting?

Interesting. I'm just using pylab on terminal.