Matplotlib tutorial | Python Matplotlib Tutorial | Python Tutorial | Python Programming |Simplilearn

This Python matplotlib tutorial will help you understand what is matplotlib, types of plots, plotting graphics and subgraphs, adding a graph inside a graph, graph parameters, line graphs, canvas grid & axis range, 2D plots, radar charts, histogram, 3D surface image along with a practice example. Data visualization is the technique to present the data in a pictorial or graphical format. It enables stakeholders and decision makers to analyze data visually. Many new python data visualization libraries are introduced recently, such as matplotlib, Vispy, bokeh, Seaborn, pygal, folium, and networkx. The matplotlib has emerged as the main data visualization library. The data in a graphical format allows them to identify new trends and patterns easily. Matplotlib is a python two-dimensional plotting library for data visualization and creating interactive graphics or plots. Using pythons matplotlib, data visualization of large and complex data becomes easy. Now, let us get started and understand matplolib and how it can be used.

The below topics are explained in this Matplotlib tutorial:
1. What is matplotlib? (00:55)
2. Types of plots (01:25)
3. Plotting graphics and subgraphs
4. Adding a graph inside a graph
5. Graph parameters - title, label, legend
6. Line graphs - line types, color and transparency
7. Canvas grid and axis range
8. 2D plots - scatter, step, bar, fill_between
9. Radar chart, histogram, the contour image
10. 3D surface image
11. Practice example (pie chart)

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[SimplilearnOfficial]

Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

[CMik]

Thank you for this detailed video!

I have, however, a question related to polar plots and to how I can highlight a specific gridline from the y axis (i.e. one circle among the several rgrids)

Part of my code is:

ax.grid(True)
zero_grid = plt.minorticks_on()
ax.yaxis.grid(which='minor', color="r", linestyle="--", linewidth=0.5, alpha=0.25)
ax.yaxis.grid(which='major', color="k", linestyle="-", linewidth=1)
ax.set_rgrids(range(-200, 200, 100), fontweight="bold")

--> How can I select only one minor (or major) grid and put it in a different color (or in bold, or whatever to highlight it)

I hope you can help... Thank you !

[anugantisuresh]

Thank you for this detailed information on matplotlib

[anilkumarbhagat]

Awesome tutorial on matplotlib! Can't find a better one🙂

[muddasaniupender]

So, matplot is used and supported to plot maps, graphs bars etc . And is Thier any other advantage . Something different!

[sohamjha]

i am using spyder and i am getting the genre website


my pip version is 19.2.3

[josesaldanamoreno]

Could any intelligent human tell me how can I animate vectors (arrows) in Matplotlib. I've tried many different ways and they either not move the vector or Python gives an error (something like: You can not update data from vector, plt/ax.arrow).
I'm a noob and I've been stuck for a while with this problem, so I would really appreciate ANY idea.
Thanks

[webdeveloper-vyhb]

It will be more helpful if you also provide the notebook file(.ipynb). That make us easily practice with what we know from here And again thanks for making this kind of educational video

[subhobasak]

set_dashes not working 30:02

import numpy as np
import matplotlib.pyplot as plt
x = np.linspace (0, 20, 25)
y = x*x+7
fig, axs = plt.subplots ()
l1 = axs.plot (x, y)
l1.set_dashes ([1, 2, 1, 2])

AttributeError : list object has no attribute set_dashes

[karthikangularjs]

Hi simplilearn. ..what is the main use of matplotlib? And are we using this now? And how it will give value to our resume?

[chavarinbonbyn]

Great tutorial ! Could you please share that Jupyter document ?

[ravinashokeen]

I have a question. How can we plot 2D data in 3D ? I have 2D data and I want to plot it with respect to time then How can I do it?

[shelendravashishtha]

Can matplotlib draw data woth more than two three variables x, y independent and z dependent you will help me too because you have already done a lot woth this tutorial

[sinto]

at 13:30 he commented wrong it is not left-right it is left and bottom

[malikrumi]

pylab is deprecated and its use is strongly discouraged because of namespace pollution. Use pyplot instead. Matplotlib user guide 3.1.2

[aidenwinter]

Love how you pronounce numpy as numpee

[jk]

Contents not visible enough on smartphone, so can't concentrate.

[anuj]

the audio is pretty bad and feel like some robot speaking

[pattiknuth]

This guy has no idea of what he's doing. When he goes through the coding examples he is constantly making mistakes and blowing them off by saying "well, you need to play around with these numbers". Very unprofessional.