Gireesha Devara has Published 150 Answers

How to unnest (explode) a row in a pandas series?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 07:10:17

If some of the elements in the series object have lists, then we can unnest those list elements into multiple rows of the series object. Unnesting is nothing but exploding the lists into rows.So this transformation can be done easily with the help of the pandas series.explode() method. This method ... Read More

How does the pandas series.equals() method handle the null values?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 07:03:26

It is very common to have missing values in a series object, and if you want to compare that type of series objects then the ordinary comparison does not work because nan != nan, In that case, we can use the equals() method. The equals() method considers Nan’s in the ... Read More

What is the basic operation of the series.equals() method in pandas?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 07:00:08

The basic operation of the series.equals() method in the pandas constructor is used to test whether the elements in two series objects are the same or not, and it also compares the shape of the two series object.The equals() method is very similar to the pandas series.eq() method but the ... Read More

How to handle the null values while comparing the two series objects using series.eq() method?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 06:54:36

The Pandas series.eq() method is used to compare every element of a given series with a passed parameter (other series object or a scalar value). It will return True for every element which is equal to the element in the other series object (passed series object).The output of the eq() ... Read More

What is the basic operation of the series.eq() method in pandas?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 06:46:48

The series.eq() method in the pandas constructor is used to compare elements of the given series with others (maybe another series or a scalar value). As a result, It will return a new series object with boolean values.The element-wise equal operation is done by using this eq() method. The boolean ... Read More

How to remove rows in a Pandas series with duplicate indices?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 06:20:05

By using the duplicated() method in the pandas series constructor we can easily identify the duplicate values in the index of a series object. The method duplicated() is used to identify the duplicate values in a series object.The duplicated() method will return a series with boolean values. Boolean value False ... Read More

What is the use of the series.duplicated() method in pandas?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 06:15:48

Finding the duplicate values in an object is a very common task in the data analysis process. In pandas, we have a function called duplicated() which is used to identify the duplicate values.For a pandas series object, the duplicated() method will return a series with boolean values. True indicates duplicate ... Read More

What are the ways to extract features from a DateTime variable using pandas?

Gireesha Devara

Gireesha Devara

Updated on 07-Mar-2022 06:11:34

Reading and extracting valid information from a DateTime object is a very important task in data analysis. The pandas package provides some useful tools to perform feature extracting from a DateTime object.In pandas, the series.dt() method is used to access the components like years, months, days, etc., from a given ... Read More

How does the keep parameter work in the pandas series.drop_duplicates() method?

Gireesha Devara

Gireesha Devara

Updated on 04-Mar-2022 08:03:29

The drop_duplicate() method in the pandas series constructor is used to remove the duplicate values from a series object. This method cleans the duplicate values and returns a series with modified rows, and it won’t alter the original series object. Instead, it will return a new one.One of the important ... Read More

How to drop duplicate rows in pandas series?

Gireesha Devara

Gireesha Devara

Updated on 04-Mar-2022 07:52:04

The main advantage of using the pandas package is analysing the data for Data Science and Machine Learning applications. In the process of analysing the data, deleting duplicate values is a commonly used data cleaning task.To remove duplicate values from a pandas series object, we can use the drop_duplicate() method. ... Read More

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