Difference between revisions of "Python-3.4.3/C2/Using-plot-command-interactively/English"
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− | Type '''plot brackets t | + | Type '''plot brackets t comma cos(t) '''and press '''Enter.''' |
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− | And then '''plot''' | + | And then '''plot''' by typing '''plot(t comma cosine) '''and press enter |
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Thank You | Thank You | ||
| style="border-top:none;border-bottom:0.5pt solid #000000;border-left:0.5pt solid #000000;border-right:0.5pt solid #000000;padding:0.0417in;"| This is '''__________''' from IIT Bombay signing off. Thanks for watching | | style="border-top:none;border-bottom:0.5pt solid #000000;border-left:0.5pt solid #000000;border-right:0.5pt solid #000000;padding:0.0417in;"| This is '''__________''' from IIT Bombay signing off. Thanks for watching | ||
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Revision as of 12:50, 20 February 2017
Python/C2/Creating-simple-plots-using-IPython/English
Title of script: Using plot command interactively in IPython.
Author: Thirumalesh H S
Keywords: Python, IPython, plot , pylab, matplotlib
Visual Cue | Narration |
Show slide
[Slide with MHRD logo] |
Hello friends. Welcome to the tutorial on using plot command interactively in IPython |
Show slide
Objectives
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At the end of this tutorial, you will be able to,
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Show slide
System Specifications |
To record this tutorial, I am using
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Show slide
Pre-requisites |
Pre-requisites to practise this tutorial are -
You should know how to run basic Python commands on the ipython console.
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[Terminal]
ipython3
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Let us first open the Terminal by pressing Ctrl+Alt+T keys simultaneously.
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[IPython console]
%pylab and press Enter. |
Let us initialise the pylab package
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Let's first understand what is Pylab | |
Show Slide
Pylab |
Pylab is a convenient Python module -
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[iPython console]
Highlight “Using matplotlib backend: TkAgg ” |
After running %pylab in the iPython console you will see a message
“Using matplotlib backend: TkAgg ”.
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Show Slide
Error if matplotlib is not installed |
But sometimes you may get an error that says
“ImportError: No module named matplotlib”.
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[iPython console]
linspace? |
Let's come back to the ipython console.
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Type q | The displayed information says that
Press q to exit the documentation and return to the console. |
[iPython console]
linspace(1, 100, 100) >> press Enter. |
Let's try to generate 100 points from 1 to 100.Type linspace brackets 1 comma 100 comma 100
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[iPython console]
linspace(0, 1, 200) >> press Enter. |
Now let's try to generate 200 points between 0 and 1.
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In linspace, the start and stop points can be integers, decimals, or constants. | |
[iPython console]
linspace(-pi, pi, 100)
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Let us now learn about the len function.
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[iPython console]
t = linspace(-pi, pi, 100) |
Now, let us save this to a variable, say t. Press enter |
[iPython console]
len(t) |
If we now type len bracket t and press Enter, we will get the number of points between minus pi and pi.len function gives the no. of elements present in a given sequence. |
[iPython console]
plot(t, cos(t)) |
Next, let's try and plot a cosine curve between minus pi and pi.For this, we use the plot command.
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As you can see from the cosine plot, cos(t) gets the cosine value at every point corresponding to point t. | |
[iPython console]
cosine = cos(t)plot(t, cosine) |
We can also assign the value of cos(t) to a variable cosine by typing cosine equals to cos(t). Press Enter
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Show slide
clf function() |
To clear the plot, we have to use the clf() function.
This avoids overlapping of new plots over older plots. |
[iPython console]
clf() |
In the console, type clf() and press Enter.
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[iPython console]
plot(t, sin(t)) |
Now, let's try to plot a sine plot.
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[Plot window]
Show plotted sine curve |
To study the plot better on the plot window, we can use various options that are available on it. Let us have a look at these options. |
[Plot window]
Move the mouse along the plot |
Moving the mouse pointer along the plot gives us the location of each point on the plot. |
Point to the buttons on the bottom left of the window. | Notice here.
At the bottom left of the window, there are a few buttons. |
[Plot window]
Save the plot as sin_curve.pdf |
The right-most among them is for saving the file. Just click on it and type the file name. Let us save the plot by the name sin_curve in pdf format. |
Click on the drop-down to show the available formats | Click on the dropdown here.
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[Plot window]
Point the mouse on the slider button |
To the left of the save button, is the slider button.
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[Plot window]
Show how to zoom.
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To the left of the slider button is the zoom button. It is used to zoom into the plot.
Just specify the region to zoom into. |
[Plot window]
Press Move button and move the axes. |
The button to the left of zoom can be used to move the axes of the plot. |
[Plot window]
Press Back and Forward Button |
The next two buttons with left and right arrow icons change the state of the plot. It takes us to the previous or next state of the plot. It acts like the back and forward button in a browser. |
[Plot window]
Press home button |
The last one is 'home' referring to the initial plot. |
Show Slide
Exercise 1
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Pause the video here, try out the following exercise and then resume the video.
Plot (sin(x)*sin(x)) / x.
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Show Slide
Summary
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This brings us to the end of this tutorial. In this tutorial, we have learnt to,
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Show Slide
Assignment
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Here are some self assessment questions for you to solve -
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Show Slide
Solutions
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And the answers,
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Show Slide
About the Spoken Tutorial Project
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The video at the following link summarises the Spoken Tutorial project.
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Show Slide
Spoken tutorial workshops |
We conduct workshops using Spoken Tutorials and give Certificates.
Please contact us. |
Show Slide
Forum to answer questions |
Do you have questions in THIS Spoken Tutorial?
Choose the minute and second where you have the question. Explain your question briefly. Someone from the FOSSEE team will answer them. Please visit this site. |
Show Slide
Forum to answer questions |
Do you have any general / technical questions?
Please visit the forum given in the link. |
Show Slide
Textbook Companion |
The FOSSEE team coordinates coding of solved examples of popular books.
We give honorarium and certificates for those who do this. For more details, please visit this site. |
Show Slide
Acknowledgement |
The Spoken Tutorial project is funded by NMEICT, MHRD, Govt. of India |
Show Slide
Thank You |
This is __________ from IIT Bombay signing off. Thanks for watching |