text_plain_output_1.png
from sklearn.model_selection import train_test_split

import pandas as pd

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import pandas as pd
df = pd.read_csv('../input/cassava-leaf-disease-classification/train.csv')

from sklearn.model_selection import train_test_split
train, test = train_test_split(df, test_size=0.9, stratify=df['label'], random_state=2020)
train = train.reset_index(drop=True)
test = test.reset_index(drop=True)
print(train['label'].value_counts())
print(test['label'].value_counts())