import pandas as pd
import numpy as np
np.random.seed(0)
from IPython.display import *
for i in range(5):
display(Markdown(f'# Markdown Loop {i}'))
display(pd.DataFrame(pd.np.random.random((5,5))))
0 | 1 | 2 | 3 | 4 | |
---|---|---|---|---|---|
0 | 0.548814 | 0.715189 | 0.602763 | 0.544883 | 0.423655 |
1 | 0.645894 | 0.437587 | 0.891773 | 0.963663 | 0.383442 |
2 | 0.791725 | 0.528895 | 0.568045 | 0.925597 | 0.071036 |
3 | 0.087129 | 0.020218 | 0.832620 | 0.778157 | 0.870012 |
4 | 0.978618 | 0.799159 | 0.461479 | 0.780529 | 0.118274 |
0 | 1 | 2 | 3 | 4 | |
---|---|---|---|---|---|
0 | 0.639921 | 0.143353 | 0.944669 | 0.521848 | 0.414662 |
1 | 0.264556 | 0.774234 | 0.456150 | 0.568434 | 0.018790 |
2 | 0.617635 | 0.612096 | 0.616934 | 0.943748 | 0.681820 |
3 | 0.359508 | 0.437032 | 0.697631 | 0.060225 | 0.666767 |
4 | 0.670638 | 0.210383 | 0.128926 | 0.315428 | 0.363711 |
0 | 1 | 2 | 3 | 4 | |
---|---|---|---|---|---|
0 | 0.570197 | 0.438602 | 0.988374 | 0.102045 | 0.208877 |
1 | 0.161310 | 0.653108 | 0.253292 | 0.466311 | 0.244426 |
2 | 0.158970 | 0.110375 | 0.656330 | 0.138183 | 0.196582 |
3 | 0.368725 | 0.820993 | 0.097101 | 0.837945 | 0.096098 |
4 | 0.976459 | 0.468651 | 0.976761 | 0.604846 | 0.739264 |
0 | 1 | 2 | 3 | 4 | |
---|---|---|---|---|---|
0 | 0.039188 | 0.282807 | 0.120197 | 0.296140 | 0.118728 |
1 | 0.317983 | 0.414263 | 0.064147 | 0.692472 | 0.566601 |
2 | 0.265389 | 0.523248 | 0.093941 | 0.575946 | 0.929296 |
3 | 0.318569 | 0.667410 | 0.131798 | 0.716327 | 0.289406 |
4 | 0.183191 | 0.586513 | 0.020108 | 0.828940 | 0.004695 |
0 | 1 | 2 | 3 | 4 | |
---|---|---|---|---|---|
0 | 0.677817 | 0.270008 | 0.735194 | 0.962189 | 0.248753 |
1 | 0.576157 | 0.592042 | 0.572252 | 0.223082 | 0.952749 |
2 | 0.447125 | 0.846409 | 0.699479 | 0.297437 | 0.813798 |
3 | 0.396506 | 0.881103 | 0.581273 | 0.881735 | 0.692532 |
4 | 0.725254 | 0.501324 | 0.956084 | 0.643990 | 0.423855 |