Python

>>> index = pd.Index([3, 1, 2, 3, 4, np.nan])
>>> index.value_counts()
3.0    2
4.0    1
2.0    1
1.0    1
dtype: int64

In [37]:
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()

Out[37]:

   a
a   
a  2
b  3
s  2

[3 rows x 1 columns]

df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()

# 9. Getting value counts from the columns
df['Airline'].value_counts(ascending=True)

# 9. Getting value counts from the columns
df['Airline'].value_counts(ascending=True)

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