Examples

from hexea import Yboard, Hexboard

yb = Yboard(5)
print(yb)

.
   .
.     .
   .     .
.     .     .
   .     .
.     .
   .
.

# method chaining
print (
    yb
    .move(2, 1)
    .move(1, 1)
)

.
   .
.     .
   O     .
.     X     .
   .     .
.     .
   .
.

# move modifies in-place
print(yb)

.
   .
.     .
   O     .
.     X     .
   .     .
.     .
   .
.

from copy import copy

yb2 = copy(yb)
print(yb.random_playout())

O
   O
O     X
   O     X
X     X     X
   X     O
O     X
   X
O

print(yb2)

.
   .
.     .
   O     .
.     X     .
   .     .
.     .
   .
.

hb = Hexboard(5)

print(hb)

 xxxxxxxxxxxxxxxxxxx
o .   .   .   .   . o
 o                   o
  o .   .   .   .   . o
   o                   o
    o .   .   .   .   . o
     o                   o
      o .   .   .   .   . o
       o                   o
        o .   .   .   .   . o
         xxxxxxxxxxxxxxxxxxx

print(hb.random_playout(quick=False))

 xxxxxxxxxxxxxxxxxxx
o X   .   O   .   O o
 o                   o
  o X   X   X   O   X o
   o                   o
    o X   O   .   X   O o
     o                   o
      o X   O   O   O   X o
       o                   o
        o O   .   X   O   . o
         xxxxxxxxxxxxxxxxxxx

print(hb.get_winner())

O

hb2 = Hexboard(3)
l = hb2.get_list_of_dicts(5)
print(l)

[{'cell0_0': <Marker.red: 1>, 'cell1_0': <Marker.red: 1>, 'cell0_1': <Marker.red: 1>, 'cell2_0': <Marker.blue: -1>, 'cell1_1': <Marker.red: 1>, 'cell0_2': <Marker.blue: -1>, 'cell2_1': <Marker.blue: -1>, 'cell1_2': <Marker.blue: -1>, 'cell2_2': <Marker.red: 1>, 'winner': <Marker.blue: -1>}, {'cell0_0': <Marker.red: 1>, 'cell1_0': <Marker.red: 1>, 'cell0_1': <Marker.blue: -1>, 'cell2_0': <Marker.blue: -1>, 'cell1_1': <Marker.blue: -1>, 'cell0_2': <Marker.red: 1>, 'cell2_1': <Marker.red: 1>, 'cell1_2': <Marker.red: 1>, 'cell2_2': <Marker.blue: -1>, 'winner': <Marker.blue: -1>}, {'cell0_0': <Marker.red: 1>, 'cell1_0': <Marker.blue: -1>, 'cell0_1': <Marker.blue: -1>, 'cell2_0': <Marker.red: 1>, 'cell1_1': <Marker.red: 1>, 'cell0_2': <Marker.blue: -1>, 'cell2_1': <Marker.red: 1>, 'cell1_2': <Marker.blue: -1>, 'cell2_2': <Marker.red: 1>, 'winner': <Marker.red: 1>}, {'cell0_0': <Marker.blue: -1>, 'cell1_0': <Marker.red: 1>, 'cell0_1': <Marker.red: 1>, 'cell2_0': <Marker.red: 1>, 'cell1_1': <Marker.blue: -1>, 'cell0_2': <Marker.red: 1>, 'cell2_1': <Marker.blue: -1>, 'cell1_2': <Marker.red: 1>, 'cell2_2': <Marker.blue: -1>, 'winner': <Marker.red: 1>}, {'cell0_0': <Marker.blue: -1>, 'cell1_0': <Marker.blue: -1>, 'cell0_1': <Marker.blue: -1>, 'cell2_0': <Marker.red: 1>, 'cell1_1': <Marker.red: 1>, 'cell0_2': <Marker.red: 1>, 'cell2_1': <Marker.red: 1>, 'cell1_2': <Marker.red: 1>, 'cell2_2': <Marker.blue: -1>, 'winner': <Marker.red: 1>}]

import pandas as pd
df = pd.DataFrame.from_records(l)
df

	cell0_0	cell1_0	cell0_1	cell2_0	cell1_1	cell0_2	cell2_1	cell1_2	cell2_2	winner
0	X	X	X	O	X	O	O	O	X	O
1	X	X	O	O	O	X	X	X	O	O
2	X	O	O	X	X	O	X	O	X	X
3	O	X	X	X	O	X	O	X	O	X
4	O	O	O	X	X	X	X	X	O	X

# For ML training we probably want integer values instead of Marker
df.astype(int)

	cell0_0	cell1_0	cell0_1	cell2_0	cell1_1	cell0_2	cell2_1	cell1_2	cell2_2	winner
0	1	1	1	-1	1	-1	-1	-1	1	-1
1	1	1	-1	-1	-1	1	1	1	-1	-1
2	1	-1	-1	1	1	-1	1	-1	1	1
3	-1	1	1	1	-1	1	-1	1	-1	1
4	-1	-1	-1	1	1	1	1	1	-1	1