Plotting and Visualization

What is the primary purpose of the `%matplotlib inline` command when used in a Jupyter notebook?

Which method is used to add a subplot to an existing Figure object in matplotlib?

In the command `fig.add_subplot(2, 2, 1)`, what does the argument `1` represent?

What is the more convenient alternative to `fig.add_subplot` for creating a figure and a grid of subplots simultaneously, which also returns a NumPy array of the subplot objects?

What do the `sharex` and `sharey` arguments in `plt.subplots()` achieve when set to True?

In `fig.subplots_adjust(wspace=0, hspace=0)`, what is the effect on the plot layout?

Which argument is used in plotting functions like `ax.plot` to specify the style of the line, for example, to make it dashed?

In a line plot, what is the purpose of the `marker` argument?

How can you alter the default linear interpolation between points in a line plot to a step-like pattern?

Which method is used to explicitly set the tick locations on the x-axis of a matplotlib subplot?

What is the easiest way to add a legend to a matplotlib plot that identifies different plotted elements?

Which function is used to add annotations that can consist of both text and an arrow to a subplot?

To add a shape like a `Rectangle` or `Circle` to a subplot, you create a patch object and then pass it to which method?

When saving a figure using `fig.savefig()`, what does the `dpi` option control?

Which function is used to programmatically modify matplotlib's global configuration parameters, such as the default figure size?

By default, what type of plot does the `.plot()` method on a pandas Series or DataFrame create?

When plotting a pandas DataFrame, what is the default behavior regarding its columns?

In the context of a pandas DataFrame plot, what does the argument `subplots=True` do?

How do you create a stacked bar plot from a pandas DataFrame?

What is a useful recipe for visualizing the frequency of values in a pandas Series using a bar plot?

In the `seaborn.barplot` function, what does the `data` argument typically expect?

When using `seaborn.barplot`, if there are multiple observations for each category on the y-axis, what do the bars represent by default?

In `seaborn.barplot`, what is the purpose of the `hue` argument?

What is a key difference between a histogram and a density plot?

Which seaborn function is particularly useful for examining the relationship between two one-dimensional data series by making a scatter plot and fitting a linear regression line?

What is a pairs plot (or scatter plot matrix), and which seaborn function can create it?

In the `sns.pairplot` function, what does the `diag_kind='kde'` argument specify?

What is a facet grid, as created by `seaborn.catplot`?

In `sns.catplot`, which arguments are used to create a facet grid by splitting the data into subplots based on the values of certain columns?

What type of plot does `sns.catplot(..., kind='box')` create?

To ensure subplots in a 2x2 grid created with `plt.subplots(2, 2)` have the same y-axis ticks for comparison, which argument should be used?

What is the return type of the `plt.subplots(2, 3)` command?

What does the `alpha` style option, such as `alpha=0.3`, control in a plot?

If you call `ax.set_xticklabels(["one", "two", "three"], rotation=30)`, what is the effect of `rotation=30`?

What is the purpose of the `loc` argument in the `ax.legend()` method?

How can you save a plot to a 400 DPI PNG file named 'my_figure.png' using a Figure object `fig`?

In a pandas DataFrame plot, what does the `layout` argument, such as `layout=(2, 2)`, specify?

Which pandas function is described as a convenient way to compute a simple frequency table from two DataFrame columns, which can then be used for plotting?

Which seaborn function is used to change the aesthetics of plots, such as the plot background and grid line colors, with predefined themes like 'whitegrid'?

What is another name for a density plot, based on the method used to create it?

The `kind` argument in pandas' `.plot()` method can be set to 'barh'. What type of plot does this create?

What does a box plot, as created by `sns.catplot(kind='box', ...)` or other methods, show?

What is the primary function of the seaborn library as described in the text?

When creating a histogram for tip percentages using `tips["tip_pct"].plot.hist(bins=50)`, what does the argument `bins=50` accomplish?

Which command would you use to change the default seaborn color palette to a greyscale one suitable for black-and-white print?

In a pandas DataFrame plot, what does the argument `sort_columns` do?

What does the `figsize` argument, such as `figsize=(8, 6)`, specify when used in a plotting function like `plt.figure` or `plt.subplots`?

When calling a pandas Series plot method like `s.plot()`, what is used for the x-axis by default?

According to the text, in seaborn's `barplot`, what do the black lines drawn on the bars represent by default?

You have a pandas DataFrame with columns `A` and `B`. Which is the correct syntax to create a vertical bar plot of column `A`?