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Data Analysis Pythondata~5 mins

Figure and axes creation in Data Analysis Python - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a figure in data visualization?
A figure is the entire window or page that holds one or more plots or charts. Think of it as a blank canvas where you draw your graphs.
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beginner
What is an axes in a figure?
Axes are the parts of the figure where the actual data is plotted. It includes the x-axis, y-axis, and the area where the graph appears.
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beginner
How do you create a figure and axes using Matplotlib in Python?
Use the command fig, ax = plt.subplots(). This creates a figure and a single axes inside it, ready for plotting.
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intermediate
Why might you want to create multiple axes in one figure?
To show multiple plots side by side or in a grid, making it easier to compare data visually in one window.
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beginner
What does the figsize parameter control when creating a figure?
It sets the size of the figure in inches, controlling how big or small the whole plot area will be.
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Which command creates a figure and axes in Matplotlib?
Afig, ax = plt.subplots()
Bplt.create_figure()
Caxes = plt.figure()
Dplot.figure()
What does an axes object represent?
AThe entire plotting window
BThe area where data is plotted including axes lines
COnly the x-axis line
DThe title of the plot
How can you create multiple plots in one figure?
ABy calling plt.plot() multiple times
BBy using plt.figure() multiple times
CBy creating multiple axes using plt.subplots() with rows and columns
DBy changing the figure size
What does the figsize parameter control?
AThe size of the figure in inches
BThe number of axes
CThe font size of labels
DThe color of the plot
If you want a single plot, which is the simplest way to create figure and axes?
Aplt.axes() only
Bplt.figure() only
Cplt.plot() only
Dfig, ax = plt.subplots()
Explain the difference between a figure and axes in data visualization.
Think of a figure as a page and axes as the drawing area on that page.
You got /3 concepts.
    Describe how to create multiple plots in one figure using Python's Matplotlib.
    Consider how you might arrange photos in a photo album.
    You got /3 concepts.