Example of distributing a stand-alone executable with matplotlib and cx_freeze

data.csv

plot.py

import pandas as pd
import matplotlib.pyplot as plt
from mpldatacursor import datacursor

# Beware paths in the current directory! This is deliberately slightly incorrect. 
# (We need to find the path to "data.csv" at runtime.)
# See: http://cx-freeze.readthedocs.org/en/latest/faq.html#using-data-files
df = pd.read_csv('data.csv', names=['A','B','C','D','E','F','G', 'H','I','J', 'K'],
                 header=None)
df.replace('SUPP', 3.0, inplace=True)
df = df.convert_objects(convert_numeric=True)
df['KG'] = df['K']*1.0/df['G']
plt.plot(df['KG'], marker='o')

l, = plt.plot(df['KG'], marker='o', linestyle='', visible=False)
datacursor(l, hover=True, point_labels=df['E'], bbox=dict(fc='white'),
           formatter=lambda **kwargs: kwargs['point_label'][0], xytext=(0, 25))

plt.show()

setup.py

import cx_Freeze
import sys
import matplotlib
base = None
if sys.platform == "win32":
    base = "Win32GUI"

executables = [
    cx_Freeze.Executable("plot.py", base = base),
    ]

build_exe_options = {"includes":["matplotlib.backends.backend_tkagg"],
                     "include_files":[(matplotlib.get_data_path(), "mpl-data"),
                                      ('data.csv', 'data.csv')],
                     "excludes":[],
                     }
cx_Freeze.setup(
    name = "script",
    options = {"build_exe": build_exe_options},
    version = "0.0",
    description = "A basic example",
    executables = executables)