Sort Dataframe according to row frequency in Pandas Last Updated : 24 Feb, 2021 Summarize Comments Improve Suggest changes Share Like Article Like Report In this article, we will discuss how to use count() and sort_values() in pandas. So the count in pandas counts the frequency of elements in the dataframe column and then sort sorts the dataframe according to element frequency. count(): This method will show you the number of values for each column in your DataFrame.sort_values(): This method helps us to sort our dataframe. In this method, we pass the column and our data frame is sorted according to this column. Example 1: Program to sort data frame in descending order according to the element frequency. Python # import pandas import pandas as pd # create dataframe df = pd.DataFrame({'Name': ['Mukul', 'Rohan', 'Mukul', 'Manoj', 'Kamal', 'Rohan', 'Robin'], 'age': [22, 22, 21, 20, 21, 24, 20]}) # print dataframe print(df) # use count() and sort() df = df.groupby(['Name'])['age'].count().reset_index( name='Count').sort_values(['Count'], ascending=False) # print dataframe print(df) Output: Example 2: Program to sort data frame in ascending order according to the element frequency. Python # import pandas import pandas as pd # create dataframe df = pd.DataFrame({'Name': ['Mukul', 'Rohan', 'Mukul', 'Manoj', 'Kamal', 'Rohan', 'Robin'], 'age': [22, 22, 21, 20, 21, 24, 20]}) # print dataframe print(df) # use count() and sort() df = df.groupby(['Name'])['age'].count().reset_index( name='Count').sort_values(['Count'], ascending=True) # print dataframe print(df) Output: Comment More infoAdvertise with us Next Article Sort Dataframe according to row frequency in Pandas S sidgautam Follow Improve Article Tags : Technical Scripter Python Technical Scripter 2020 Python-pandas Python pandas-dataFrame Python Pandas-exercise +2 More Practice Tags : python Similar Reads Count Frequency of Columns in Pandas DataFrame When working with data in Pandas counting how often each value appears in a column is one of the first steps to explore our dataset. This helps you understand distribution of data and identify patterns. Now we’ll explore various ways to calculate frequency counts for a column in a Pandas DataFrame.1 2 min read Sorting rows in pandas DataFrame Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). We often need to do certain operations on both rows and column while handling the data. Let’s see how to sort rows in pandas DataFrame. Code #1: Sorting rows by Sc 2 min read Count frequency of itemsets in Pandas DataFrame In this article, we are going to explain how we can Count the frequency of itemsets in the given DataFrame in Pandas. Using the count(), size() method, Series.value_counts(), and pandas.Index.value_counts() method we can count the number of frequency of itemsets in the given DataFrame. Here, we are 2 min read Add a row at top in pandas DataFrame Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Let's see how can we can add a row at top in pandas DataFrame.Observe this dataset first. Python3 # importing pandas module import pandas as pd # making data fram 1 min read How to Sort a Pandas DataFrame based on column names or row index? Pandas dataframe.sort_index() method sorts objects by labels along the given axis. Basically, the sorting algorithm is applied to the axis labels rather than the actual data in the Dataframe and based on that the data is rearranged. Creating Pandas Dataframe Create a DataFrame object from the Python 3 min read Like