loop drop columns over number of missing values

Question

I am trying to create a loop to create a loop that helps me drop any columns with a certain amount of missing values. Can someone help me?

for col in df:

"""Delete columns with over 200 missing values"""

if df[col].isnull().sum() > 200:
    pd.DataFrame.drop(col)

Answer 1

for col in df:
    if df[col].isnull().sum() > 200:
        df=df.drop(col)

Don't drop from pd.DataFrame, but instead drop from df, and also have too assign it back.

Or even better:

df=df.dropna(thresh=len(df)-200,axis=1)