import seaborn as sns

Given a DataFrame df as shown above, how can you plot the bar chart as shown below?

Question

import seaborn as sns

Given a DataFrame df as shown above, how can you plot the bar chart as shown below?

BlackTom AI · Accepted Answer

We’re asked to choose the correct way to plot a bar chart from a DataFrame df using seaborn, with the goal of matching the given example.
Option 1: sns.barplot(y='date', x='gdp growth', data=df). Here the axes are swapped: y is assigned to 'date' and x to 'gdp growth'. In seaborn’s barplot, x should be the categorical axis (typically the variable to group by), and y should be the numeric measurement. If 'date' is a date-like or categorical label and 'gdp growth' is numeric, this could produce an odd orientation and is not the typical, intended usage. Most importantly, the labels are reversed relative to the common convention for this kind of plot.
Option 2: sns.barplot(x='date', y='gdp growth', data=df[df['date']<2020]). This follows the standard seaborn pattern: x is the categorical or discrete axis with the date, y is the numeric value representing GDP growth, and the data subset df[df['date']<2020] limits the data to dates before 2020. Assuming 'date' is a sortable column and the comparison works as intended, this is a correct and conventional approach for producing the desired bar chart.
Option 3: sns.barplot(x=df['date'], y=df['gdp growth'], data=df[df['date']<2020]). Here x and y are given as Series objects (df['date'] and df['gdp growth']), not as column names. Seaborn expects the column names (strings) to reference data in the provided DataFrame via the data parameter. Passing Series for x and y is misuse and will not produce the expected plot.
Option 4: df.plot.bar(x=df['date'], y=df['gdp growth'], rot=0). This uses the pandas plotting interface. While pandas can create a bar plot, the x parameter is typically a column label (string) rather than a Series, and mixing with a boolean rotation without ensuring the DataFrame aligns as expected can lead to errors or unexpected formatting. The more idiomatic pandas approach would be df.set_index('date')['gdp growth'].plot.bar(rot=0) or df.plot.bar(x='date', y='gdp growth', rot=0). Using x=df['date'] is not the standard signature and may fail.
In summary, Option 2 presents the correct, idiomatic seaborn call with appropriate axis specification and a sensible data subset. Options 1 and 3 misuse axis labeling or data specification, and Option 4 relies on a pandas call that, while possibly workable in some contexts, is not the canonical seaborn approach shown in the question and can introduce issues with parameter types.

import seaborn as sns Given a DataFrame df as shown above, how can you plot the bar chart as shown below?

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