Pandas - Filtering None Values

Question

I\'m using Pandas to explore some datasets. I have this dataframe:

I want to exclude any row that has a city value. So I\'ve tried:

new_df =         


        

Answer 1

I hope "where" can do what you expect

new_df = new_df.where(new_df["city"], None) 

And it is better use np.nan rather than None.

For more details pandas.DataFrame.where

Answer 2

Try this to select only the None values for city column:

new_df = all_df['City'][all_df['City'] == "None"]

Try this to see all other columns which has the same rows of 'City'==None

new_df = all_df[all_df['City'] == "None"]
print(new_df.head()) # with function head() you can see the first 5 rows

Answer 3

Consider using isnull() to locate missing values

all_df[all_df['City'].isnull()]