import warnings
warnings.filterwarnings("ignore")
df = pd.DataFrame.from_csv('data/data_cleaned.tsv', encoding = 'utf8', sep='\t', index_col=False)
df[df.isnull().any(axis=1)].count()
asci = lambda s: s.encode('ascii',errors='ignore') if isinstance(s, basestring) else s
lowe = lambda s: s.lower() if isinstance(s, basestring) else s
df['lower_case'] = df_train['name'].apply(lowe)
df.sample()