# [SOLVED] How to group consecutive data in 2d array in python

## Issue

I have a 2d NumPy array that looks like this:

``````array([[1, 1],
[1, 2],
[2, 1],
[2, 2],
[3, 1],
[5, 1],
[5, 2]])
``````

and I want to group it and have an output that looks something like this:

``````         Col1 Col2
group 1: 1-2, 1-2
group 2: 3-3, 1-1
group 3: 5-5, 1-2
``````

I want to group the columns based on if they are consecutive.

So, for a unique value In column 1, group data in the second column if they are consecutive between rows. Now for a unique grouping of column 2, group column 1 if it is consecutive between rows.

The result can be thought of as corner points of a grid. In the above example, group 1 is a square grid, group 2 is a a point, and group 3 is a flat line.

My system won’t allow me to use pandas so I cannot use group_by in that library but I can use other standard libraries.

Any help is appreciated. Thank you

## Solution

Here you go …

Steps are:

• Get a list `xUnique` of unique column 1 values with sort order preserved.
• Build a list `xRanges` of items of the form `[col1_value, [col2_min, col2_max]]` holding the column 2 ranges for each column 1 value.
• Build a list `xGroups` of items of the form `[[col1_min, col1_max], [col2_min, col2_max]]` where the `[col1_min, col1_max]` part is created by merging the `col1_value` part of consecutive items in `xRanges` if they differ by 1 and have identical `[col2_min, col2_max]` value ranges for column 2.
• Turn the ranges in each item of `xGroups` into strings and print with the required row and column headings.
• Also package and print as a `numpy.array` to match the form of the input.
``````import numpy as np
data = np.array([
[1, 1],
[1, 2],
[2, 1],
[2, 2],
[3, 1],
[5, 1],
[5, 2]])
xUnique = list({pair for pair in data})
xRanges = list(zip(xUnique, [[0, 0] for _ in range(len(xUnique))]))
rows, cols = data.shape
iRange = -1
for i in range(rows):
if i == 0 or data[i, 0] > data[i - 1, 0]:
iRange += 1
xRanges[iRange] = data[i, 1]
xRanges[iRange] = data[i, 1]
xGroups = []
for i in range(len(xRanges)):
if i and xRanges[i] - xRanges[i - 1] == 1 and xRanges[i] == xRanges[i - 1]:
xGroups[-1] = xRanges[i]
else:
xGroups += [[[xRanges[i], xRanges[i]], xRanges[i]]]

xGroupStrs = [ [f'{a}-{b}' for a, b in row] for row in xGroups]

groupArray = np.array(xGroupStrs)
print(groupArray)

print()
print(f'{"":<10}{"Col1":<8}{"Col2":<8}')
[print(f'{"group " + str(i) + ":":<10}{col1:<8}{col2:<8}') for i, (col1, col2) in enumerate(xGroupStrs)]
``````

Output:

``````[['1-2' '1-2']
['3-3' '1-1']
['5-5' '1-2']]

Col1    Col2
group 0:  1-2     1-2
group 1:  3-3     1-1
group 2:  5-5     1-2
``````