Pandas Interview Questions for Data Scientists
Make sure to go through all the questions listed below! 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, ...
'IT'])]sorted_df=df.sort_values(by='Age',ascending=False)# Handle missing datadf.at[2,'Age']=None# Simulate missing age for 'Charlie'df.dropna(inplace=True)# Drop rows with any missing data# Group, aggregate
Prepare for Pandas interview questions for freshers with this guide, covering everything from beginner to expert topics in Python, data analysis, and machine learning.
import pandas as pd url ="https://raw.githubusercontent.com/Opensourcefordatascience/Data-sets/master/blood_pressure.csv" # Read a CSV file into a DataFrame df = pd.read_csv(url) # Display the first few rows print("Loaded CSV Tabular Data:") print(df.head()) ...
This simple yet valuable technique is used widely in data science. df.groupby(column) –Returns a groupby object for values from one column df.groupby([column1,column2]) –Returns a groupby object values from multiple columns df.groupby(column1)[column2].mean() –Returns the mean of the ...
DS Interview QuestionsModuleNotFoundError: No module named 'pandas' By: Rajesh P.S.The ModuleNotFoundError occurs when you try to import a module in Python, but the specified module is not found in the current Python environment. This error typically happens when the module is not installed ...
It comes as no surprise to many developers, Python has grown to become the preferred language of choice for data science. One of the reasons for its staggering adoption in the data science community is the rich suite of libraries for effective data analysis and visualization - allowing you to...
Generate Coding Logic HR Interview Questions Computer Glossary Who is WhoPython Pandas - IO ToolsPrevious Quiz Next The Pandas library offers powerful I/O tools (API) for data import and export, enabling seamless handling of various file formats like CSV, Excel, JSON, and many more. This API...
On top of that, we discuss how having a computer science education and having worked as a software engineer has been helpful in his data science career, how to squeeze more data into Pandas on a given machine, and his recommended software libraries for working with tabular data once you ...