Appending an Additional Column to a NumPy Array
Adding an extra column to a NumPy array is a straightforward task that can be accomplished using the np.c_ function. This function is specifically designed for concatenating arrays along columns, making it an ideal choice for this purpose.
To append a column of zeros, simply use the following syntax:
<code class="python">np.c_[array, np.zeros((array.shape[0], 1))]</code>
For example, given the following 2D array:
<code class="python">a = np.array([ [1, 2, 3], [2, 3, 4], ])</code>
To add a column of zeros, we can use:
<code class="python">b = np.c_[a, np.zeros((a.shape[0], 1))]</code>
This will result in the following array:
<code class="python">b = np.array([ [1, 2, 3, 0], [2, 3, 4, 0], ])</code>
Note:
- The np.zeros() function creates a new array of zeros with the specified shape.
- The np.c_ function requires square brackets ([ ]) instead of parentheses (( )), as it uses these brackets to concatenate arrays along columns.
- This method can also be used to append multiple additional columns at once, by passing a tuple or list of arrays.
- The np.r_ function (similar to np.c_) can be used to concatenate arrays horizontally, though square brackets should be used for this function as well.
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