In Python which function of matplotlib library is used to save a plot? (A) save() (B) saveplot() (C) export()

Question

Q. In Python which function of matplotlib library is used to save a plot? (A) save() (B) saveplot() (C) export() (D) savefig()

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Concept understanding — Save Plot Function

The Save Plot Function: A First Look

Imagine you are writing an essay on a sheet of paper. You have carefully arranged your arguments, chosen your words, and built a conclusion. Now, if you close the notebook without putting that sheet into a folder, your work is lost the moment someone shuffles the pages. The Save Plot function is that folder — it is the command that tells the computer, "Keep this picture I have just created, so I can use it later."

In data analysis and statistics — subjects you will meet in Economics or Geography — you often create graphs: bar charts showing crop production, line graphs of population growth, pie charts of budget allocation. These graphs are not permanent by themselves. They appear on your screen, but if you close the software or run the code again, they vanish. The Save Plot function is the instruction that writes that graph as a file (like a JPEG or PNG image) onto your computer's storage, so you can paste it into a report, print it, or share it.

Why does it matter?

In your NCERT textbooks for Economics (Class XI or XII), you are often asked to "draw a diagram" or "represent the data graphically." In the old days, you drew it by hand. Today, when you use software like Excel, R, or Python's matplotlib, the computer draws it for you. But the computer only shows it on the screen unless you explicitly save it. Without saving, your graph exists only in the computer's temporary memory — like a thought you had but never wrote down.

The Save Plot function is therefore the bridge between the temporary screen display and a permanent, reusable file. It matters because:

You can insert the saved graph into a Word document or a PowerPoint presentation for your project.
You can print it for a practical file or viva.
You can share it with classmates or teachers without them needing to run the same software.
You can keep a record of your analysis for revision or future reference.

How it works in practice (without any code)

Think of the process in three steps:

Create the plot — You give the computer the data and tell it what kind of graph to draw (bar, line, pie, etc.). The computer displays it on the screen.
Call the save function — You give a command that says, "Take this graph and write it as a file." You also specify a name for the file (e.g., population_growth.png) and sometimes the format (PNG, JPEG, PDF).
The file is stored — The graph is now saved in a folder on your computer. You can open it later, email it, or print it.

Note

The Save Plot function does not change the graph itself. It simply takes a snapshot of whatever is currently displayed. If you want a different graph, you must modify the data or settings first, then save again.

A common confusion …

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When you create a plot using matplotlib in Python, the library provides a dedicated function to write that figure to a file on disk. The function belongs to the pyplot module and is called savefig().

You use it after constructing your plot with commands like plot(), scatter(), bar(), and so on. A typical workflow looks like this:

Import matplotlib.pyplot (usually as plt)
Build your plot with the various plotting functions
Call plt.savefig('filename.png') to write the figure to a file …

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The savefig() function in matplotlib saves a plot to a file; it's the standard method for exporting visualizations.

When you've spent time crafting a beautiful plot in Python—whether it's a line graph tracking temperature changes, a bar chart comparing sales figures, or a scatter plot revealing correlations—you naturally want to preserve that work. Matplotlib, the foundational plotting library in Python, provides a dedicated function for exactly this purpose: saving your figure to disk.

The function you need is savefig(). This method belongs to the pyplot module (commonly imported as plt) and writes the current figure to a file. The name itself is intuitive: "save figure." You call it after you've created your plot but before you close the figure or move on to other work.

Here's how it fits into a typical workflow. You build your plot with commands like plt.plot(), plt.bar(), or plt.scatter(), add labels and titles, adjust formatting, and then—when everything looks right—you invoke plt.savefig('filename.png'). The function handles the rest, writing your visualization to the specified file. It supports multiple formats: PNG for web use, PDF for documents, SVG for scalable graphics, and JPEG among others. You simply change the file extension, and matplotlib adapts.

Note

The savefig() function must be called before plt.show() in your script. Once show() displays the plot interactively, the figure may be cleared, and saving afterward can produce a blank image. …

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CBSE 2025Set 90/1/11 markMCQ
$Q. In Python which function of matplotlib library is used to save a plot? (A) save() (B) saveplot() (C) export() (D) savefig()$
›Reveal solutionSolution

The savefig() function in matplotlib saves a plot to a file; it's the standard method for exporting visualizations.

When you've spent time crafting a beautiful plot in Python—whether it's a line graph tracking temperature changes, a bar chart comparing sales figures, or a scatter plot revealing correlations—you naturally want to preserve that work. Matplotlib, the foundational plotting library in Python, provides a dedicated function for exactly this purpose: saving your figure to disk.

The function you need is savefig(). This method belongs to the pyplot module (commonly imported as plt) and writes the current figure to a file. The name itself is intuitive: "save figure." You call it after you've created your plot but before you close the figure or move on to other work.

Here's how it fits into a typical workflow. You build your plot with commands like plt.plot(), plt.bar(), or plt.scatter(), add labels and titles, adjust formatting, and then—when everything looks right—you invoke plt.savefig('filename.png'). The function handles the rest, writing your visualization to the specified file. It supports multiple formats: PNG for web use, PDF for documents, SVG for scalable graphics, and JPEG among others. You simply change the file extension, and matplotlib adapts.

Note

The savefig() function must be called before plt.show() in your script. Once show() displays the plot interactively, the figure may be cleared, and saving afterward can produce a blank image. …

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Q.In Python which function of matplotlib library is used to save a plot? (A) save() (B) saveplot() (C) export() (D) savefig()

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