freeCodeCamp grouped bar chart visualization: data visualization

fcc_gbc_visualization.py

# Pivot the DF so that there's a column for each month, each row\
# represents a year, and the cells have the mean page views for the\
# respective year and month
df_pivot = pd.pivot_table(
	df,
	values="page_views",
	index="year",
	columns="month",
	aggfunc=np.mean
)

# Plot a bar chart using the DF
ax = df_pivot.plot(kind="bar")
# Get a Matplotlib figure from the axes object for formatting purposes
fig = ax.get_figure()
# Change the plot dimensions (width, height)
fig.set_size_inches(7, 6)
# Change the axes labels
ax.set_xlabel("Years")
ax.set_ylabel("Average Page Views")

# Use this to show the plot in a new window
# plt.show()
# Export the plot as a PNG file
fig.savefig("page_views_barplot.png")