Pandas Interview Questions And Answers

Pandas Interview Questions list for experienced

  1. Define the Pandas/Python pandas?
  2. Mention the different types of Data Structures in Pandas?
  3. Define Series in Pandas?
  4. How can we calculate the standard deviation from the Series?
  5. Define DataFrame in Pandas?
  6. What are the significant features of the pandas Library?
  7. Explain Reindexing in pandas?
  8. Explain Categorical data in Pandas?
  9. How will you create a series from dict in Pandas?
  10. How will you create an empty DataFrame in Pandas?
  11. How can we convert DataFrame into an excel file?
  12. What is Time Series in Pandas?
  13. What is Data Aggregation?
  14. What is Pandas Index?
  15. Describe Data Operations in Pandas?
  16. Define GroupBy in Pandas?

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Top Pandas interview questions and answers for freshers and experienced

What is Pandas ?

Answer : pandas is a library for PANel DAta analysis, i.e. multidimensional time series and cross-sectional data sets commonly found in statistics, experimental science results, econometrics, or finance.

Questions : 1 :: Define the Pandas/Python pandas?

Pandas is defined as an open-source library that provides high-performance data manipulation in Python. The name of Pandas is derived from the word Panel Data, which means an Econometrics from...View answers

Questions : 2 :: Mention the different types of Data Structures in Pandas?

Pandas provide two data structures, which are supported by the pandas library, Series, and DataFrames. Both of these data structures are built on top of the...View answers

Questions : 3 :: Define Series in Pandas?


A Series is defined as a one-dimensional array that is capable of storing various data types. The row labels of series are called the index. By using a 'series' method, we can easily convert the...View answers

Questions : 4 :: How can we calculate the standard deviation from the Series?

The Pandas std() is defined as a function for calculating the standard deviation of the given set of numbers, DataFrame, column, and rows.     Series.std(axis=None,...View answers

Questions : 5 :: Define DataFrame in Pandas?

A DataFrame is a widely used data structure of pandas and works with a two-dimensional array with labeled axes (rows and columns) DataFrame is defined as a standard way to store data and has two...View answers

Questions : 6 :: What are the significant features of the pandas Library?


The key features of the panda's library are as follows: Memory Efficient Data Alignment Reshaping Merge and join Time...View answers

Questions : 7 :: Explain Reindexing in pandas?

Reindexing is used to conform DataFrame to a new index with optional filling logic. It places NA/NaN in that location where the values are not present in the previous index. It returns a new object...View answers

Questions : 8 :: Explain Categorical data in Pandas?

A Categorical data is defined as a Pandas data type that corresponds to a categorical variable in statistics. A categorical variable is generally used to take a limited and usually fixed number of...View answers

Questions : 9 :: How will you create a series from dict in Pandas?


A Series is defined as a one-dimensional array that is capable of storing various data types. We can create a Pandas Series from Dictionary:     Create a Series from dict: We...View answers

Questions : 10 :: How will you create an empty DataFrame in Pandas?

A DataFrame is a widely used data structure of pandas and works with a two-dimensional array with labeled axes (rows and columns) It is defined as a standard way to store data and has two different...View answers

Questions : 11 :: How can we convert DataFrame into an excel file?

We can export the DataFrame to the excel file by using the to_excel() function. To write a single object to the excel file, we have to specify the target file name. If we want to write to...View answers

Questions : 12 :: What is Time Series in Pandas?

The Time series data is defined as an essential source for information that provides a strategy that is used in various businesses. From a conventional finance industry to the education industry, it...View answers

Questions : 13 :: What is Data Aggregation?

The main task of Data Aggregation is to apply some aggregation to one or more columns. It uses the following: sum: It is used to return the sum of the values for the requested...View answers

Questions : 14 :: What is Pandas Index?

Pandas Index is defined as a vital tool that selects particular rows and columns of data from a DataFrame. Its task is to organize the data and to provide fast accessing of data. It can also be...View answers

Questions : 15 :: Describe Data Operations in Pandas?

In Pandas, there are different useful data operations for DataFrame, which are as follows: Row and column selection We can select any row and column of the DataFrame by passing the name of the...View answers

Questions : 16 :: Define GroupBy in Pandas?

In Pandas, groupby() function allows us to rearrange the data by utilizing them on real-world data sets. Its primary task is to split the data into various groups. These groups are...View answers
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