image_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df_clinic = []
tmp = pd.read_csv('/kaggle/input/amp-parkinsons-disease-progression-prediction/train_clinical_data.csv')
train_clinical = pd.read_csv('/kaggle/input/amp-parkinsons-disease-progression-prediction/train_clinical_data.csv')
tmp['CSF'] = 1
df_clinic.append(tmp)
tmp = pd.read_csv('/kaggle/input/amp-parkinsons-disease-progression-prediction/supplemental_clinical_data.csv')
tmp['CSF'] = 0
df_clinic.append(tmp)
df_clinic = pd.concat(df_clinic, axis=0).reset_index(drop=True)
df_clinic = df_clinic.rename(columns={'upd23b_clinical_state_on_medication': 'medication'})

df_clinic.isna().sum()

df_clinic.nunique()