In Python How can I declare a Dynamic Array

I want to declare an Array and all items present in the ListBox Should Be deleted irrespective of the Group name present in the ListBox. can any 开发者_Go百科body help me coding in Python. I am using WINXP OS & Python 2.6.

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In Python, a list is a dynamic array. You can create one like this:

lst = [] # Declares an empty list named lst

Or you can fill it with items:

lst = [1,2,3]

You can add items using "append":

lst.append('a')

You can iterate over elements of the list using the for loop:

for item in lst:
    # Do something with item

Or, if you'd like to keep track of the current index:

for idx, item in enumerate(lst):
    # idx is the current idx, while item is lst[idx]

To remove elements, you can use the del command or the remove function as in:

del lst[0] # Deletes the first item
lst.remove(x) # Removes the first occurence of x in the list

Note, though, that one cannot iterate over the list and modify it at the same time; to do that, you should instead iterate over a slice of the list (which is basically a copy of the list). As in:

 for item in lst[:]: # Notice the [:] which makes a slice
       # Now we can modify lst, since we are iterating over a copy of it

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In python, A dynamic array is an 'array' from the array module. E.g.

from array import array
x = array('d')          #'d' denotes an array of type double
x.append(1.1)
x.append(2.2)
x.pop()                 # returns 2.2

This datatype is essentially a cross between the built-in 'list' type and the numpy 'ndarray' type. Like an ndarray, elements in arrays are C types, specified at initialization. They are not pointers to python objects; this may help avoid some misuse and semantic errors, and modestly improves performance.

However, this datatype has essentially the same methods as a python list, barring a few string & file conversion methods. It lacks all the extra numerical functionality of an ndarray.

See https://docs.python.org/2/library/array.html for details.

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Here's a great method I recently found on a different stack overflow post regarding multi-dimensional arrays, but the answer works beautifully for single dimensional arrays as well:

# Create an 8 x 5 matrix of 0's:
w, h = 8, 5;
MyMatrix = [ [0 for x in range( w )] for y in range( h ) ]  

# Create an array of objects:
MyList = [ {} for x in range( n ) ]

I love this because you can specify the contents and size dynamically, in one line!

One more for the road:

# Dynamic content initialization:
MyFunkyArray = [ x * a + b for x in range ( n ) ]

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you can declare a Numpy array dynamically for 1 dimension as shown below:

import numpy as np

n = 2
new_table = np.empty(shape=[n,1])

new_table[0,0] = 2
new_table[1,0] = 3
print(new_table)

The above example assumes we know we need to have 1 column but we want to allocate the number of rows dynamically (in this case the number or rows required is equal to 2)

output is shown below:

[[2.] [3.]]