wbdata-plot-example.py

import wbdata
import pandas
import matplotlib.pyplot as plt
 
#set up the countries I want
countries = ["CL","UY","HU"]
 
#set up the indicator I want (just build up the dict if you want more than one)
indicators = {'NY.GNP.PCAP.CD':'GNI per Capita'}
 
#grab indicators above for countires above and load into data frame
df = wbdata.get_dataframe(indicators, country=countries, convert_date=False)

#df is "pivoted", pandas' unstack fucntion helps reshape it into something plottable
dfu = df.unstack(level=0)

# a simple matplotlib plot with legend, labels and a title
dfu.plot(); 
plt.legend(loc='best'); 
plt.title("GNI Per Capita ($USD, Atlas Method)"); 
plt.xlabel('Date'); plt.ylabel('GNI Per Capita ($USD, Atlas Method');

Ah, that is first thing I tried here. Looks gist doesn't have that functionality yet.