remove all rows with nan pandas code example
Example 1: drop if nan in column pandas
df = df[df['EPS'].notna()]
Example 2: dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
Example 3: pandas drop rows with nan in a particular column
In [30]: df.dropna(subset=[1])
Out[30]:
0 1 2
1 2.677677 -1.466923 -0.750366
2 NaN 0.798002 -0.906038
3 0.672201 0.964789 NaN
5 -1.250970 0.030561 -2.678622
6 NaN 1.036043 NaN
7 0.049896 -0.308003 0.823295
9 -0.310130 0.078891 NaN
Example 4: drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
Example 5: delete nans in df python
df[~np.isnan(df)]
Example 6: when converting from dataframe to list delete nan values
a = [[y for y in x if pd.notna(y)] for x in df.values.tolist()]
print (a)
[['str', 'aad', 'asd'], ['ddd'], ['xyz', 'abc'], ['btc', 'trz', 'abd']]