pandas remove nan rows code example

Example 1: drop if nan in column pandas

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

Example 2: pandas filter non nan

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

Example 3: dropping nan in pandas dataframe

df.dropna(subset=['name', 'born'])

Example 4: delete nans in df python

df[~np.isnan(df)]

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