I have a few entries in a panda dataframe that are NaN. How would I remove any row with a NaN?
Just use x.dropna():
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]:
In [3]: df = pd.DataFrame(np.random.randn(5, 2))
In [4]: df.iloc[0, 1] = np.nan
In [5]: df.iloc[4, 0] = np.nan
In [6]: print(df)
0 1
0 2.264727 NaN
1 0.229321 1.615272
2 -0.901608 -1.407787
3 -0.198323 0.521726
4 NaN 0.692340
In [7]: df2 = df.dropna()
In [8]: print(df2)
0 1
1 0.229321 1.615272
2 -0.901608 -1.407787
3 -0.198323 0.521726
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