hw4.html - ids-pdl05-hwk.ipynb: This Jupyter notebook is...

ids-pdl05-hwk.ipynb : This Jupyter notebook is provided by Joachim Vogt for the
Python Data Lab of the module Introduction to Data Science offered in Fall 2022 at
Jacobs University Bremen. Module instructors are Hilke Brockmann, Adalbert Wilhelm,
and Joachim Vogt. Jupyter notebooks and other learning resources are available from a
dedicated module platform .
Homework assignments: Matplotlib basics ¶
The homework assignments in this notebook supplement the tutorial Matplotlib basics .
• Solve the assignments according to the instructions.
• Upload the completed notebook to the module platform.
• Do not forget to enter your name in the markdown cell below.
The homework set carries a total of 20 points. Square brackets in the assignment titles
specify individual point contributions.
Name: Ammar Syed Naveed Haider Zaidi ¶
Preparation ¶
Import the NumPy module in the standard way (prefix np ). From the matplotlib library
import the package pyplot using the standard abbreviation plt .
In [1]:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
On the module platform you find data files of the form pdl05dat_SID.txt where SID is
a three-digit student ID, containing the data for the assignments below.
• Identify the file pdl05dat_SID.txt with your personal student ID SID , then
upload it to the working directory, i.e., the folder where this Jupyter notebook
resides.
• The data file pdl05dat_100.txt and its solution files pdl05num_100.txt ,
pdl05lin_100.svg , pdl05mul_100.svg , and pdl05img_100.png are provided to
demonstrate the assignment. Upload the files also to the working directory.