Page view time visualizer - bar_plot - Number of bars 193 != 49

Hi all, i struggle for much too long on this task and dont want to copy a solution. The bar plot is printed out correctly (49 bars) but an error is returned:
test_bar_plots_number_of_bars: 193 != 49

my code is as follows:

# Import data (Make sure to parse dates. Consider setting index column to 'date'.)
df = pd.read_csv( "fcc-forum-pageviews.csv", index_col="date", parse_dates=True).sort_values('value')
# Clean data
df = df.iloc[(int(round((df.count() / 100 * 2,5)[0]))):(int(round(((df.count() / 100 * 97,5)[0])-1)))]
df = df.sort_index()

def draw_bar_plot():
    # Copy and modify data for monthly bar plot
    df_bar = df.groupby([df.index.year, df.index.month]).mean().fillna('')
    df_bar.index.names=['year', 'month']
    # Draw bar plot
    fig = sns.barplot(data=df_bar, x="year", y="value", hue="month").get_figure()
    plt.ylabel('Average Page Views')
    # Save image and return fig (don't change this part)
    # You can comment this line out if you don't need title
    return fig

Can someone explain why this error appears? Thanks

sns.barplot doesn’t return Figure object (fig), but Axes object (ax).

Okay. I just had to add 1 line of code at the top of the function.

fig, ax = plt.subplots()

It seems like I have to invest more time in understanding the relation between Mathplotlib and Seaborn.