WebMar 31, 2024 · Code #1: Creating Series import pandas as pd a = pd.Series (Data, index = Index) Here, Data can be: A Scalar value which can be integerValue, string A Python Dictionary which can be Key, Value pair A Ndarray Note: Index by default is from 0, 1, 2, … (n-1) where n is length of data. Code #2: When Data contains scalar values WebAnswering Data Engineer Interview Questions. Questions on Relational Databases. Q1: Relational vs Non-Relational Databases. A SQLite Example. Q2: SQL Aggregation Functions. Q3: Speeding Up SQL Queries. Q4: Debugging SQL Queries. Questions on Non-Relational Databases. A MongoDB Example.
Pandas – Practice Exercises, Questions and Solutions
WebPandas Practical Challenges Q1: How do you count unique values per group with Pandas? Add to PDF Entry Q2: If we have a date column in our dataset, then how will you perform Feature Engineering using Python? Related To: Dimensionality Reduction, Feature Engineering Add to PDF Junior Q3: Web2 days ago · 1) Copy.copy () for shallow copy. 2) Copy.deepcopy () for deep copy. However, it is not possible to copy all objects in Python using these functions. For instance, dictionaries have a separate copy method whereas sequences in … cheo brewer assessment
101 Pandas Exercises for Data Analysis - Machine …
WebMar 22, 2024 · Technical Concepts tested in Python Pandas Interview Questions The problems involving Pandas can be broadly grouped into the following categories. Sorting … WebOct 13, 2024 · Using numpy.ndarray.tolist() to get a list of a specified column. With the help of numpy.ndarray.tolist(), dataframe we select the column “Name” using a [] operator that returns a Series object and uses Series.Values to get a NumPy array from the series object.Next, we will use the function tolist() provided by NumPy array to convert it to a list. WebAug 19, 2024 · pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relationa' or 'labeled' data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. List of Pandas Exercises: cheo bristol stool chart