PYTHON

how to remove rows with nan in pandas

df.dropna(subset=[columns],inplace=True)

numpy remove rows containing nan

a = a[~(np.isnan(a).any(axis=1))] # removes rows containing at least one nan
a = a[~(np.isnan(a).all(axis=1))] # removes rows containing all nan

pandas remove rows with nan

df = df.dropna(axis = 0)

remove nan index pandas

df = df[df.index.notnull()]

python remove nan rows

df = df[df['my_var'].notna()]

numpy remove columns containing nan

a = a[~(np.isnan(a).any(axis=0))] # removes columns containing at least one nan
a = a[~(np.isnan(a).all(axis=0))] # removes columns containing all nan

numpy remove nan rows

a[ ~np.isnan(a).any(axis=1),:]