application_vnd.jupyter.stderr_output_1.png
import numpy as np

import pandas as pd

train_csv = pd.read_csv('../input/recursion-cellular-image-classification/train.csv')
test_csv = pd.read_csv('../input/recursion-cellular-image-classification/test.csv')
sub = pd.read_csv('../input/recursion-cellular-keras-densenet/submission.csv')

np.stack([train_csv.plate.values[train_csv.sirna == i] for i in range(10)]).transpose()