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




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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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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

    Somebody add timestamps

  • 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 one🙂

  • 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

    very helpful thnx

  • 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?

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