We can use the merge() function to merge multiple DataFrames using the pandas Python library. The pandas merge operation is more like the join operation in SQL. Like SQL, we can perform inner join, left join, right join, and outer join operations on DataFrames using...

We can use the value_counts() function to get the count of unique records for all the unique values in a column of a DataFrame. Let’s take the example of the iris dataset. Let’s first read the dataset from a CSV file and print the first few lines of the dataset....

Let’s say we have a dataset. We want to know the total number of non-null values in each column of the dataset. We can use the count() function in the pandas Python library to find out the same. import pandas df = pandas.read_csv("iris.csv") print(df.head())...

Let’s say a column in a DataFrame has some duplicate values. We want to know how many unique values the column has and what the unique values are. We can use the nunique() and unique() functions in the pandas Python library to find out the same. Let’s take the example...

Sometimes after dropping or filtering rows and columns, we may want to reset the indexes of the rows and/or the columns. In the pandas Python library, we can use the reset_index() function for resetting the indexes of the rows and/or the columns. In this article, we...