text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

disease_numbers = pd.read_json('../input/cassava-leaf-disease-classification/label_num_to_disease_map.json', orient='index')
sample_submission = pd.read_csv('../input/cassava-leaf-disease-classification/sample_submission.csv')
train = pd.read_csv('../input/cassava-leaf-disease-classification/train.csv')

print(train.groupby('label').count())
ax = sns.distplot(train['label'], bins=5, kde=False, norm_hist=True, hist_kws={'edgecolor': 'k', 'align': 'mid'})