Add a baseline to a matplotlib figure || Horizontal and vertical lines || Matplotlib Tips

Learn how to create a matplotlib baseline including a horizontal line and a vertical line with this Matplotlib Tips tutorial. I demonstrate how to use pyplot's axhline function to create a matplotlib horizontal line and the matplotlib axvline function to make a vertical line. I also show you how to use ymin and ymax to truncate the line. I explain why adding a baseline is important with a few examples, and then I walk you through several line styling properties including changing color, updating matplotlib axhline thickness, creating a dashed line, and layering multiple lines with zorder. Finally, I show you how to create a legend by setting axhline label and labeling each other line of your matplotlib figure.
0:00 Introduction
0:10 Horizontal & Vertical Lines
1:18 Baseline Explanation Figures
1:39 Line Styling
3:47 Conclusion
Github Code:
github.com/kimfetti/Videos/bl...
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#matplotlib #dataviz #matplotlibtips

[@joseantonioubeira295]

Thank you so much for this very helpful tutorial ! It was a real lifesaver, as all your other videos !

[@KimberlyFessel]

So glad to hear it was helpful - cheers!

[@giorgiozampaglione8849]

This is such a helpful video! Thank you so much! One question, could you do the same but using a datetime object instead of a scalar?

[@alexanderhall1819]

Great content. You move very fluidly through your examples. Def recommending channel to other students in my data science program

[@KimberlyFessel]

Glad you enjoyed it and thanks for the recommendation!

[@amanpatyal2187]

always useful basic bits ....✔✨👏

[@KimberlyFessel]

Thanks! 😄

[@BrunoAraujo-po2lm]

Awesoooome, give moooooore! ^^

[@KimberlyFessel]

You got it! More videos coming up 😄

[@AkshitMadan]

Good explanation ma'am 👍

[@KimberlyFessel]

Thank you! 👍

[@furqanakramsheikh8999]

You are amazing mam Kimberly Fessel.

[@MonicaAlvarez-ls6nc]

Great, this is so useful! Can you make a video of subplots and double axe graph. Thanks for your work.

[@KimberlyFessel]

Very glad to hear you enjoy it. And good suggestions! I will put of these on my list 😄

[@nicksharafeddin7347]

Thank you very much for very helpful, and informative virtual lecture.
I just would like to ask a question, if I may,
Could we plot the vertical line with at the last point of a moving curve ( such as in stock curve) ?

[@KimberlyFessel]

Glad to hear it was helpful! You're interested in plotting a vertical line that depends on a variable? Sure, you should be able to do this. If you can extract the last point of your moving curve and save it to a Python variable, you can just submit that variable to matplotlib. For example: my_var = ..... Then put that variable into the function: plt.axvline(my_var)

[@nicksharafeddin7347]

@@KimberlyFessel Thank you very much.

[@priyanshusaxena7157]

Please make more videos like this...

[@KimberlyFessel]

Will do!

[@rajatgupta7344]

Hi, @Kimberly I came across a problem where we have to count the number of male and female using a single column of dataframe and plot the graph for the same. (means using a categorical column)
1.x=titanic.Sex.value_counts()
a=x.index
b=x.values
sns.barplot(a,b)
2.plt.bar(a,b)
is there better way then this 2 in a single line code??

[@KimberlyFessel]

I might just use pandas plotting for this. titanic.Sex.value_counts.plot(kind='bar') should work. Or you could create a column of all ones and then switch your estimator to numpy's sum... sns.barplot(x = titantic.Sex, y=np.ones(len(titantic.Sex)), estimator=np.sum)