## Python set a column in list of list 2D matrix

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So given two lists

```y_new = (   165,     152,     145,    174)
pos_2D  = ( (2,3), (32,52), (73,11), (43,97) )
```

I would like to so something like

```pos_2D_new = setCol(2, y_new, pos_2D)
```

where column 2 is the Y coordinate.

```pos_2D_new = ( (2,165), (32,152), (73,145), (43,174) )
```

How to set a 1D into a 2D tuple in Python?

You can do this with:

```pos_2D_new = [ (x, y2) for (x, _), y2 in zip(pos_2D, y_new) ]
```

or if you want a tuple:

```pos_2D_new = tuple((x, y2) for (x, __), y2 in zip(pos_2D, y_new))
```

We thus concurrently iterate over the `pos_2D` and `ynew`, and each time we construct a new tuple `(x, y2)`.

The above is of course not very generic, we can make it more generic, and allow to specify what item to replace, like:

```def replace_coord(d, old_pos, new_coord):
return tuple(x[:d] + (y,) + x[d+1:] for x, y in zip(old_pos, new_coord))
```

So for the x-coordinate you can use `replace_coord(0, old_pos, new_x_coord)` whereas for the y-coordinate it is `replace_coord(1, old_pos, new_y_coord)`. This also works for coordinates in three or more dimensions.

Nested lists: creating. Suppose that two numbers are given: the number of rows of n and the number of columns m . You must create a  In Python any table can be represented as a list of lists (a list, where each element is in turn a list). For example, here's the program that creates a numerical table with two rows and three columns, and then makes some manipulations with it:

You can use a generator expression with `zip`:

```pos_2D_new = tuple((x, y) for (x, _), y in zip(pos_2D, y_new))
```

With your sample input, `pos_2D_new` would become:

```((2, 165), (32, 152), (73, 145), (43, 174))
```

For example m = [[10, 20], [40, 50], [30, 60]] represents a matrix of 3 rows and 2 columns. First element of the list – m and element in first row, first column – m[0​][0  to extend this to a number of columns you could store the column number and it's value in a dict. So to set colum 5 to 10 and column 2 to 7: cols = 7 rows = 8 data = [  * cols for i in range(rows)] valdict = {5:10, 2:7} for col, val in valdict.items(): for row in data: row[col] = val.

Which would give

```def setCol(idx, coords_1d, coords_nd):
# recalling that indexing starts from 0
idx -= 1
return [
c_nd[:idx] + (c_1d,) + c_nd[idx+1:]
for (c_1d, c_nd) in zip(coords_1d, coords_nd)
]
```

and

```>>> setCol(2, y_new, pos_2D)
[(2, 165), (32, 152), (73, 145), (43, 174)]
```

Python provides many ways to create 2-dimensional lists/arrays. However one must know Using above first method to create a. # 2D array. rows, cols = ( 5 , 5 ). Select a copy of row at index 1 from 2D array and set all the elements in selected sub array to 100 Python # Select a copy of row at index 1 from 2D array row = nArr2D.copy() # Set all the elements in selected sub array to 100 row[:] = 100

Create a NumPy array ndarray from the original 2D list and get the transposed object with the T attribute. If you want a list type object, convert it to  I want to extract a part of a two-dimensional list (=list of lists) in Python. I use Mathematica a lot, and there it is very convenient to write. matrix[[2;;4,10;;13]] which would extract the part of the matrix which is between the 2nd and 4th row as well as the 10th and 13th column. In Python, I just used

Create a list of lists, or a 2D list. Step 4: This loop can iterate rows and columns in the 2D list. Nested Python program that uses 2D list # Step 1: create a list. # . It is possible to index into a flat array as though it is two-dimensional. We add  I have a 2D array in python modeled by a list of lists and I want to extract the column. I made a quick research and I found a way that uses numpy arrays. The problem is that I do not want to use numpy so I don't want to convert my list of lists into a numpy array and then use [:,1] syntax. I tried using it on a normal list of lists but it

Creating 2d Lists; Getting 2d List Dimensions; Copying and Aliasing 2d Lists Try, and FAIL, to create a variable-sized 2d list rows = 3 cols = 2 a = [  * cols ] * rows len(str(a[row][col]))) return maxLen # Because Python prints 2d lists on one  Python program that uses 2D list # Step 1: create a list. # Append empty lists in first two indexes. Append empty lists in first two indexes. elements = [] elements.append( [] ) elements.append( [] ) # Step 2: add elements to empty lists.

• So you replace the second part of the tuple with `y_new`? What happens with the "old" second item?