Answers for "pandas count total null values for all columns"

count nan pandas

#Python, pandas
#Count missing values for each column of the dataframe df

df.isnull().sum()

df count missing values

In [5]: df = pd.DataFrame({'a':[1,2,np.nan], 'b':[np.nan,1,np.nan]})

In [6]: df.isna().sum()
Out[6]:
a    1
b    2
dtype: int64

number of columns with no missing values

null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)