Recall & Review
beginner
What is the purpose of the
plot() function in pandas?The
plot() function in pandas is used to create visual graphs, such as line plots, from data stored in DataFrames or Series. It helps to see trends and patterns easily.Click to reveal answer
beginner
How do you create a simple line plot from a pandas DataFrame?
Call
df.plot() where df is your DataFrame. By default, it creates a line plot using the DataFrame's index for the x-axis and columns for the y-axis.Click to reveal answer
beginner
What does the
kind parameter in plot() do?The
kind parameter tells pandas what type of plot to draw. For example, kind='line' makes a line plot. This is the default for plot().Click to reveal answer
intermediate
How can you add a title and labels to a line plot in pandas?
After creating the plot, use matplotlib functions like
plt.title(), plt.xlabel(), and plt.ylabel() to add a title and axis labels.Click to reveal answer
beginner
What happens if your DataFrame has multiple columns and you call
df.plot()?Pandas will plot each column as a separate line on the same graph, using the DataFrame index as the x-axis.
Click to reveal answer
What type of plot does
df.plot() create by default?✗ Incorrect
The default plot type for df.plot() is a line plot, which connects data points with lines.
Which library does pandas use under the hood to create plots?
✗ Incorrect
Pandas uses Matplotlib internally to generate plots.
How do you specify a line plot explicitly using
plot()?✗ Incorrect
The correct parameter is kind='line' to specify a line plot.
If you want to plot only one column from a DataFrame, what should you do?
✗ Incorrect
Plotting a single column is done by selecting it first, then calling plot().
What does the x-axis represent in a pandas line plot by default?
✗ Incorrect
By default, the x-axis uses the DataFrame's index values.
Explain how to create a basic line plot from a pandas DataFrame and customize its title and axis labels.
Think about combining pandas plotting with matplotlib labeling.
You got /2 concepts.
Describe what happens when you call plot() on a DataFrame with multiple columns.
Consider how pandas handles multiple data series in one plot.
You got /2 concepts.