Filter out rows based on multiple conditions in pandas

Question

I can identify the rows I want to remove from a dataframe using the following code:

df[(df.Year.isin(range(200,205))) & (df.id== 'string')]

How do I remove these rows from the dataframe?

I tried the following solution but it didn't work:

df.drop[(df.Year.isin(range(200,205))) & (df.id== 'string'), axis = 0]

Answer 1

You can drop the rows by index as well

df.drop(df[(df.Year.isin(range(200,205))) & (df.id== 'string')].index, inplace=True)

Another way suggested by @JoshFriedlander

df = df[~((df.Year.isin(range(200,205))) & (df.id== 'string'))]

Answer 2

my go to solution would be:

df = df[(df['year'] >= 200) & (df['year'] <= 205) & (df['id'] == 'string')]