Watch Basics - How to read a CSV file in python (and plot it) Video Tutorial


Tutorial Details & Info

Tutorial Title: Basics - How to read a CSV file in python (and plot it)
Instructor / Channel: PeanutLearning
Lesson Runtime: 02:45 Minutes
Publish Date: January 12, 2020
Total Students / Views: 42,347 views

Follow step-by-step with Basics - How to read a CSV file in python (and plot it) created by PeanutLearning. This full video course has a total duration of 02:45 minutes with detailed practical demonstrations. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

The CSV file is read with the 'pandas' library. You can install it by following this link: https://pandas.pydata.org/pandas-docs/stable/install.html. ------------ Code ---------- import pandas as pd df = pd.read_csv('velocity_measurements.csv',header=None) print(df.head()) t = df[0] v = df[1] # make a plot from matplotlib import pyplot as plt fig, ax = plt.subplots(figsize=(10,7)) ax.plot(t,v,lw=4) ax.set_xlabel('Time [s]',fontsize=14) ax.set_ylabel('Velocity [$m/s$]',fontsize=14) ax.set_title('Experiment 1',fontsize=14) ----------------------- Keywords: text file , csv file , pandas , python , jupyter notebook , read file , plot , graphic , matplotlib , pyplot , scientific , data , science

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

Discover how to master Basics - How To Read A CSV File In Python (and Plot It) with this in-depth video tutorial guide. Throughout this course, you will discover practical tips for Basics - How To Read A CSV File In Python (and Plot It).

Mastering Basics - How To Read A CSV File In Python (and Plot It) requires clear step-by-step guidance and practical hands-on visual demonstrations. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on TutorTube.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Basics - How to read a CSV file in python (and plot it) taught by PeanutLearning. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Basics - How to read a CSV file in python (and plot it).
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by PeanutLearning with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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