fig, ax = plt.subplots() # Loop over the different sports branches for ____ in ____: # Extract the rows only for this

Here's the code to loop over the different sports branches, extract the rows only for each sport, add a bar for the "Weight" mean with std y error bar, set the y-label and x-tick labels, and save the figure to file: ```python fig, ax = plt.subplots() # Loop over the different sports branches for sport in sports: # Extract the rows only for this sport sport_df = summer_olympics[summer_olympics["Sport"] == sport] # Add a bar for the "Weight" mean with std y error bar ax.bar(sport, sport_df["Weight"].mean(), yerr=sport_df["Weight"].std()) ax.set_ylabel("Weight") ax.set_xticklabels(sports, rotation=90) # Save the figure to file plt.savefig("sports_weights.png", dpi=300) ``` We use a for loop to iterate over the different sports branches. Inside the loop, we extract the rows only for the current sport using `summer_olympics[summer_olympics["Sport"] == sport]` and assign it to the variable `sport_df`. We then add a bar for the "Weight" mean with std y error bar using `ax.bar(sport, sport_df["Weight"].mean(), yerr=sport_df["Weight"].std())`. After the loop, we set the y-label using `ax.set_ylabel("Weight")` and the x-tick labels using `ax.set_xticklabels(sports, rotation=90)`. Finally, we save the figure to file using `plt.savefig("sports_weights.png", dpi=300)`.