remove if na in column pandas code example

Example 1: how to delete na values in a dataframe

# if you want to delete rows containing NA values
df.dropna(inplace=True)

Example 2: drop if nan in column pandas

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

Example 3: remove rows or columns with NaN value

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

Example 4: drop null rows pandas

df.dropna()

Example 5: threshold meaning in pandas dropna

>>>df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
                   "toy": [np.nan, 'Batmobile', 'Bullwhip'],
                   "born": [pd.NaT, pd.Timestamp("1940-04-25"),
                            pd.NaT]}) 
df.dropna(thresh=2)
       name        toy       born
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT