## 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)

Watch more videos on Python Training: https://www.youtube.com/watch?v=syH5OneJb-U&index=2&list=PLEiEAq2VkUUKoW1o-A-VEmkoGKSC26i_I

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### Comment List

• Simplilearn
November 16, 2020

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!

• Simplilearn
November 16, 2020

Thank youuu

• Simplilearn
November 16, 2020

• Simplilearn
November 16, 2020

Love how you pronounce numpy as numpee <33333

• Simplilearn
November 16, 2020

Thanks

• Simplilearn
November 16, 2020

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?

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

So nice

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

Awesome tutorial on matplotlib! Can't find a better oneđź™‚

• Simplilearn
November 16, 2020

Thank you for this detailed information on matplotlib

• Simplilearn
November 16, 2020

Wonderful tutorial! Will you please send the notebook code for this tutorial to wxwolff@me.com?

• Simplilearn
November 16, 2020

u will cross 1m subscribers soon

• Simplilearn
November 16, 2020

Nyco u rocked it………….. Keep it up

• Simplilearn
November 16, 2020

the audio is pretty bad and feel like some robot speaking

• Simplilearn
November 16, 2020

Can u guys provide me the dataset that u use to teach please?
my email address is given below
akashkishore068@gmail.com

• Simplilearn
November 16, 2020

i am using spyder and i am getting the genre website

my pip version is 19.2.3

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

Great tutorial ! Could you please share that Jupyter document ?

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

• Simplilearn
November 16, 2020

How can I get dataset? anele.mbabela@gmail.com

• Simplilearn
November 16, 2020

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 !

• Simplilearn
November 16, 2020

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

• Simplilearn
November 16, 2020

Really useful

• Simplilearn
November 16, 2020

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