Pandas Dataframe. Group By Value And Count

I have the following table: Days, Age, Sex 5, 39, F 4, 54, M 4, 26, M 5, 42, M 4, 29, M I want to count number of rows with F and M separately. The foll

Solution 1:

Just to add to Wen's answer. Alternatively, you can use value_counts while selecting the column with df.Sex.

df.Sex.value_counts()
    M    4
    F    1
Name: Sex, dtype: int64