remove nan pandas code example

Example 1: remove nan from list python

cleanedList = [x for x in countries if str(x) != 'nan']

Example 2: drop if nan in column pandas

df = df[df['EPS'].notna()]

Example 3: pandas filter non nan

filtered_df = df[df['name'].notnull()]

Example 4: how to delete nan values in python

x = x[~numpy.isnan(x)]

Example 5: how to filter out all NaN values in pandas df

#return a subset of the dataframe where the column name value != NaN 
df.loc[df['column name'].isnull() == False]

Example 6: remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')