[USER (data scientist)]: Cool! Can we visualize this data with a bar chart comparing win/loss ratios across ranking groups and surface types? Please generate the code with the output in plot type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import numpy as np   
import matplotlib.pyplot as plt   
import seaborn as sns  
from decision_company import read_csv_file, create_dataframe, df_copy, concatenate_objects, bind_dataframe, aggregate_grouped_data, positive_infinity, make_bins, join_dataframes, create_figure, create_barplot, set_plot_title, set_yaxis_label, show_plots, join_dataframes, anova_test, dropna

atp_tennis = read_csv_file('atp_tennis.csv')

create_figure(figsize=(12, 6))

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE] 
</code1>
# YOUR SOLUTION END

# save data
save_plot("./pred_result/barplot.png")
show_plot() 

---END CODE TEMPLATE---

[YOU (AI assistant)]: Definitely! Let's create a bar chart using seaborn and matplotlib. Here's the code for that: 

# MY SOLUTION BEGIN:
