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import pandas as pd

import warnings

import pandas as pd
import numpy as np
import plotly.express as px
from plotly.subplots import make_subplots
import gc
from tqdm import tqdm
import pickle
import os
import warnings
warnings.filterwarnings('ignore')
train_clinical_data = pd.read_csv('../input/amp-parkinsons-disease-progression-prediction/train_clinical_data.csv')
train_peptides = pd.read_csv('../input/amp-parkinsons-disease-progression-prediction/train_peptides.csv')
train_proteins = pd.read_csv('../input/amp-parkinsons-disease-progression-prediction/train_proteins.csv')
supplemental_clinical_data = pd.read_csv('../input/amp-parkinsons-disease-progression-prediction/supplemental_clinical_data.csv')

peptideIndexLabels = ['visit_id', 'patient_id', 'UniProt']
train_peptides.set_index(peptideIndexLabels, drop=True)
peptideData = train_peptides.merge(train_proteins, on=['visit_id', 'visit_month', 'patient_id', 'UniProt'], how='inner').drop_duplicates()

len(peptideData['Peptide'].unique())