drop na based on one 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: delete nans in df python

df[~np.isnan(df)]

Example 3: 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
       name        toy       born
0    Alfred        NaN        NaT
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT

##Drop the rows where at least one element is missing.
>>> df.dropna()
     name        toy       born
1  Batman  Batmobile 1940-04-25

Example 4: drop na in pandas

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25