Python Pandas Interview Questions 1. Can you get items of series A that are not available in another series B? This can be achieved by using the ~ (not/negation symbol) and isin() method as shown below. import pandas as pd df1 = pd.Series([2, 4, 8, 10, 12]) df2 = pd.Series...
问题: 编写一个 Python 函数来计算数据集的平均值、中位数、模式和标准差。答案: import pandas as pd def calculate_descriptive_stats(data): stats_dict = {} # Calculate mean stats_dict['mean'] = data.mean() # Calculate median stats_dict['median'] = data.median() # Calculate mode if data...
import pandas as pd import numpy as np box_scores['total_score'] = box_scores['assignment1']...
Libraries are essentially a collection of packages. Some popular Python libraries are Pandas, Matplotlib, Numpy, and Scikit-learn. Q31. What do you understand about polymorphism in Python? Polymorphism is a feature that allows methods to have multiple functionalities with the same name. For instance...
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Python has a large and active community of developers who have created a wide range of modules and packages that extend the capabilities of Python. Some popular examples include NumPy for numerical computing, Pandas for data analysis, and Flask for web development. ...
2. How do you handle missing data in a dataset using Pandas? Answer: Handling missing data is crucial for accurate data analysis. In Pandas, you can handle missing data using several methods: Drop Missing Values:Use thedropna()method to remove rows or columns with missing values.pythonCopy ...
A list of Python packages is referred to as a Python library. Numpy, Pandas, Matplotlib, Scikit-learn, and many other Python libraries are widely used. Q. What is split used for? In Python, thesplit()method is used to split a string. ...
Python Pandas is one of the most widely-used libraries in data science and analytics. It offers high-performance, user-friendly data structures and tools for data analysis. In Pandas, two-dimensional table objects are called DataFrames, while one-dimensional labeled arrays are known as Series. ...
pandas Basic Interview Fragen Schauen wir uns nun einige grundlegende Interviewfragen zu Pandas an. Freundliche Interviewer beginnen vielleicht mit diesen einfachen Fragen, um dich am Anfang zu beruhigen, während andere diese Fragen stellen, um dein grundlegendes Verständnis der Bibliothek zu beur...