Pandas Interview Questions for Freshers 1. What is Pandas in Python? Pandas is a powerful open-source data analysis and manipulation library for Python. It provides data structures like Series and DataFrame for handling structured data, making tasks like data cleaning, transformation, and visualizati...
Reindexing in pandas lets us create a new DataFrame object from the existing DataFrame with the updated row indexes and column labels. You can provide a set of new indexes to the function DataFrame.reindex() and it will create a new DataFrame object with given indexes and take values from th...
Example: DataFrame.sort_values(by='Age',ascending=True)Don’t know where to begin with Python? Join upGrad’s Free Certificate Programming with Python Course today!Intermediate Pandas Interview QuestionsWith the basics out of the way, it’s time to raise the bar. This section covers python ...
10. Define pandas dataframe. A dataframe is a 2D mutable and tabular structure for representing data labelled with axes - rows and columns.The syntax for creating dataframe: import pandas as pd dataframe = pd.DataFrame( data, index, columns, dtype) where: data - Represents various forms like...
Pandas, a popular data manipulation and analysis library, primarily operates on two data structures:Series, for one-dimensional data, andDataFrame, for two-dimensional data. Series Structure Data Model: Each Series consists of a one-dimensional array and an associated array of labels, known as the...
importpandasaspdfrompyspark.sqlimportSparkSession# Initialize SparkSessionspark=SparkSession.builder.appName("Example").getOrCreate()# Create Pandas DataFramepdf=pd.DataFrame({'id':[1,2,3],'value':[10,20,30]})# Convert to PySpark DataFramedf_spark=spark.createDataFrame(pdf)# Convert back to...
A step-by-step Python code example that shows how to select rows from a Pandas DataFrame based on a column's values. Provided by Data Interview Questions, a mailing list for coding and data interview problems.
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Data Analyst Interview Questions On Python 77. You have a dataframe (df) with columns 'Age' and 'Salary', How would you calculate the average salary for each age group? average_salary_by_age = df.groupby('Age')['Salary'].mean() print(average_salary_by_age) Here we are grouping...
Python Interview Questions for Beginners The following questions test the basic knowledge of Python keywords, syntax and functions. 1. What is a dynamically typed language? A dynamically typed language is a programming language in whichvariable types are determined at runtime, rather than being explic...