How to get the number of the most frequent value in a column?

Question

I have a data frame and I would like to know how many times a given column has the most frequent value.

I try to do it in the following way:

items_co         


        

Answer 1

The NaN values are omitted for calculating frequencies. Please check your code functionality here But you can use the below code for same functionality.

**>> Code:**
    # Importing required module
    from collections import Counter

    # Creating a dataframe
    df = pd.DataFrame({ 'A':["jan","jan","jan","mar","mar","feb","jan","dec",
                             "mar","jan","dec"]  }) 
    # Creating a counter object
    count = Counter(df['A'])
    # Calling a method of Counter object(count)
    count.most_common(3)

**>> Output:**

    [('jan', 5), ('mar', 3), ('dec', 2)]