(TIL) Pandas: Iterating through groups
```python df = pd.DataFrame(np.random.randn(10,3),columns=list(‘ABC’))
```python df = pd.DataFrame(np.random.randn(10,3),columns=list(‘ABC’))
df.groupby('Sp').apply(lambda t: t[t.Count==t.Count.max()])
pandas’ DateOffset represents a regular frequency increment:
The count() method returns the number of non-NaN values in each column. Similarly, count(axis=1) returns the number of non-NaN values in each row.
```python df = pd.DataFrame(np.random.randn(10,3),columns=list(‘ABC’))