Drop If Nan in Säulenpandas
df = df[df['EPS'].notna()]
Hambo
df = df[df['EPS'].notna()]
df.dropna(axis = 0, how = 'all', inplace = True)
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
df = df[df['my_var'].notna()]
x = x[numpy.logical_not(numpy.isnan(x))]