Matplotlib Tutorial (Part 8): Plotting Time Series Data

In this video, we will be learning how to plot time series data in Matplotlib.

In this Python Programming video, we will be learning how to plot time series data in Matplotlib. Time series data consists of data that contains dates. For example, in this video, we will be plotting BitCoin prices over the last few weeks. We will learn how to format dates in different ways so that they work better with our graphs. Let's get started...

The code from this video (with added logging) can be found at:

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[coreyms]

I hope everyone finds this video helpful. The next video of the series will be posted tomorrow at the same time. The next video will cover how to plot live data in real-time. We will learn how to monitor a CSV file for changes and add that data to our plot as it's being generated, so be sure to check that out.

I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription:

[francist]

Amazing work Corey! I enjoy your videos and will be watching as many as possible! love the work!

[kalyanalladi]

Corey, your videos are awesome. Learning lot from these. Would like to see more videos on machine learning, neural networks as well

[youngzproduction]

The whole matplotlip is awesome. I keep watching them on and on.

[anibalguerrerohernandez]

Had been stuck for several days on a big data structure, but your video has helped me out. Thank you so much!

[danielalegriasallo]

I'm binge watching this series, it's been so interesting to learn MatplotLib.

[suchetapathalam]

Absolutely love how you explain evrything so clearly!!

[gustavoteixeira]

'Amazing' is not enough to describe the video quality. Thank you very much.

[muzzamilnadeem]

This is such an informative video. Really appreciate how u explained each and every thing !

[coreyms]

I just realized that I'm missing a date in my CSV data. I fixed that in the snippets, so if you're following then there will no longer be a missing date in the downloaded snippets. But we can see that even with the missing date in the video, it interpolates the values for that missing date in the plot.

[anurasenarathna]

As usual, great series. Thank you very much.

[abdelrahmanali]

Thanks Corey for making it look so easy.

[johangodinho]

Thank you for this amazing series. Being a fellow python creator aswell, I really appreciate the amount of effort you put into creating this amazing tutorials, and all the best for the future :))

[juanventrone]

I feel that I love you!, Thanks for share all this videos bro!!

[shikharsaxena]

the best lecture i have found on youtube. DO share some more resources

[danielflorea]

Exremely useful and great explanations

[ashikka]

Hey Corey! Thanks a lot for the videos. Could you create some more videos that cover Time Series in detail please? I have gone through the one on your channel and its great, but I guess it would be really helpful if you create more on it with examples. There's very less content that I found good related to Time-series and I'm sure your videos would solve that issue.

[ulfgj]

- video liked
- beer opened
- watching video

[harvey]

at 12:31, a faster method to define the datetime column
data = pd.read_csv(."....", parse_dates=[0])
0 refer to the column index where the date column lies.

[ThomasHaberkorn]

great series of videos! One more to round it up: Is it possible to create a 'data cursor' to display the CSV values near the mouse location? would be a very useful add-on in my opinion. thanks