PyGrids 1.2.1

Dimensional Data Manipulation and Spreadsheet-like pretty grids.

PyGrids

Description

PyGrids is an module for storing and manipulating spreadsheet-like or grid-like information in python. It also uses numpy to speed up array operations.

Example

from grids import Grid

grid = Grid(5,3) # Create an empty 5x3 grid.

print(grid.get_cell(5,3)) # -> ∅ None
print(grid.get_cell(3,1)) # -> ∅ None

grid.update_cell(5,3,'Foo')
grid.update_cell(3,2,'Bar')

print()
print(grid.view())

Will output...

∅ 
∅

∅      ∅      ∅      ∅      ∅     
∅      ∅      'Bar'  ∅      ∅     
∅      ∅      ∅      ∅      'Foo' 

Installation

$ pip install pygrids

Grid Usage

Here's how you can use PyGrids.

Using cells

Getting cells

grid.get_cell(<x>, <y>)

Updating cells

grid.update_cell(<x>, <y>, <new_value>)

Overviewing cells

print(grid.view())

Iterating through cells

By Columns

for column in grid.y_by_x():
    for cell in column:
        print(x)

By Rows

for row in grid.x_by_y():
    for cell in row:
        print(y)

Saving Grids

You can save your grids by using their built-in save() method.

# Saves by default to grid1.dat or grid2.dat if that's taken or grid3.dat if grid2.dat it taken, etc.
grid.save()
# Or you can specify a specify a specific filename
grid.save(filename='mygrid.dat')

Loading Grids from file

You can also load your grids into python by using Grid's static load() method like so.

grid = Grid.load('mygrid.dat')

GridLog's

Each grid object tracks when it's methods are used and logs them to it's unique GridLog object. Let's take a look from out first example, what it's log would look like.

print(grid.log)

Looks something like

[GridLog created at [2020-10-21 20:30:11.230139]]:
-> [GET_CELL] (5, 3) at [2020-10-21 20:30:11.230171]
-> [GET_CELL] (3, 1) at [2020-10-21 20:30:11.230233]
-> [UPDATE_CELL] (5, 3, 'Foo') at [2020-10-21 20:30:11.230270]
-> [UPDATE_CELL] (3, 2, 'Bar') at [2020-10-21 20:30:11.230286]
-> [LOG_VIEW] () at [2020-10-21 20:30:11.230401]

MultiDimensionalArray's

Unlike grids, which are constrained to only 2 dimensions, MultiDimensionalArrays support arrays of any shape.

from grids import MultiDimensionalArray

myshape = [3,2,4,5]

array = MultiDimensionalArray(myshape)

Keep reading for how to use it

MultiDimensionalArray Usage

Here's a few example's on how use MultiDimensionalArray's

Updating and Getting Cells

target_coord = [1,2,3,4]

array.update_cell(target_coord, 'Foo')

print(array.get_cell(target_coord)) # Foo

License

This software is licensed by an MIT License.