tommy.carstensen - 4 months ago 64

Python Question

I am new to Pandas. How do I filter based on either a strict inequality or missing data? In the code below I want

`one`

`import pandas as pd`

import numpy as np

d = {

'one' : [1.1, np.nan, 3.1],

'two' : [3.2, 2.2, 1.2],

}

df = pd.DataFrame(d)

for one in np.arange(0, 6, 1.):

df1 = df[(df['one']>one) | (df['one']==np.nan)]

if len(df1) == 0:

continue

for two in np.arange(0, 6, 1.):

df2 = df1[(df1['two']>two)]

if len(df2) == 0:

continue

print(one, two, len(df2))

Answer

Use the isnull() function to identify missing values.

```
df.loc[(df['one'] > 2) | (df['one'].isnull())]
# one two
# 1 NaN 2.2
# 2 3.1 1.2
```