df.isna().sum()
df.isna().any()
dfObj.isnull().sum()
df.isna()
dataframe.isnull()
dataframe.any()
dfObj.isnull().sum().sum()
# Count the number of Missing Values in the DataFrame
df.isna().sum()
# Count the number of Non-Missing Values in the DataFrame
df.count()
cols_to_delete = df.columns[df.isnull().sum()/len(df) > .90]
df.drop(cols_to_delete, axis = 1, inplace = True)