Use matplotlib, pandas, numpy etc to plot an effort vs value CSV file

effortvalue.py

#!/usr/bin/env python

import numpy as np
import matplotlib.pyplot as plt
from pandas import *
from pylab import figure, show

def trimnum(n):
    if abs(n - int(n)) > 0.05:
        return "%.1f" % n
    else:
        return "%d" % n


df = read_csv('effortvalue.csv')

fig = plt.figure() 
fig.set_facecolor('white')
plt.axis([0,1.05,0,1.05], 'off')
axes = plt.axes(axisbg='#f0f0f0')
axes.get_xaxis().set_ticks([])
axes.get_yaxis().set_ticks([])
plt.scatter(df['Effort'], df['Value'])
plt.axhline(y=0.5, color='r')
plt.axvline(x=0.5, color='r')
plt.xlabel('Effort')
plt.ylabel('Value')
plt.title('Effort vs Value - March 2012')
plt.plot([0,1],[0,1],'g--')

for i, r in df.iterrows():
    plt.annotate(trimnum(r['Task id']), (r['Effort']+0.01, r['Value']+0.01))

show()