danielballan

"""
PURPOSE: Parse a pile of 'spreadsheet' files downloaded from 
         Corning Credit Union eBranch.

FEAUTURES: - Parse and combine financial records from a list of raw
             files, converting the data into convenient types.
           - Plot stuff.

EXAMPLE USAGE:
import ccu

danielballan

/home/dallan/pandas-danielballan/pandas/__init__.py in <module>()
     23 
     24 # let init-time option registration happen
---> 25 import pandas.core.config_init
     26 
     27 from pandas.core.api import *

/home/dallan/pandas-danielballan/pandas/core/config_init.py in <module>()
      2 from pandas.core.config import (is_int, is_bool, is_text, is_float,
      3                                 is_instance_factory,is_one_of_factory)

danielballan

In [4]: def forgiveness(x):
    try:                     
        x.plugins.append(1)
    except AttributeError:
        x.plugins = [1]
   ...:         

In [5]: def permission(x):
    if not hasattr(x, 'plugins'):
        x.plugins = []

danielballan

#!/usr/bin/python

import sys
import re
from dateutil.parser import parse
import email
import html2text
import MySQLdb
from itertools import * 

danielballan

In [27]: df.to_sql('bar', engine, index=False)
---------------------------------------------------------------------------
StatementError                            Traceback (most recent call last)
<ipython-input-27-7476a9ea602a> in <module>()
----> 1 df.to_sql('bar', engine, index=False)

/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/core/generic.py in to_sql(self, name, con, flavor, if_exists, index, index_label)
    940         sql.to_sql(
    941             self, name, con, flavor=flavor, if_exists=if_exists, index=index,
--> 942             index_label=index_label)

danielballan

# This is Dan Allan's setting of Professor Robert Leheny's plotting style preferences.
# Updated October 2014
#
# Invoke in Python matplotlib like so:
#
#     import matplotlib as mpl
#
#     mpl.style.use('https://gist.github.com/danielballan/be066529de85e87a5fe7/raw')
#
# This feature is only available in matplotlib version 1.4 or higher.

danielballan

"""
Copyright 2014 Dan Allan

Read the data from a Zetasizer output file and return the intensity as
as a function of frequency in a spreadsheet-like object (pandas DataFrame)
that can exported to any convenient format.

This is only lightly tested.
"""

danielballan

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import six
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.path as mpath
import matplotlib.patches as mpatches

from IPython.html import widgets

danielballan

running install
running bdist_egg
running egg_info
creating PIMS.egg-info
writing PIMS.egg-info\PKG-INFO
writing top-level names to PIMS.egg-info\top_level.txt
writing dependency_links to PIMS.egg-info\dependency_links.txt
writing manifest file 'PIMS.egg-info\SOURCES.txt'
reading manifest file 'PIMS.egg-info\SOURCES.txt'
writing manifest file 'PIMS.egg-info\SOURCES.txt'

danielballan

# Daniel B. Allan
# August 2014
# Robert L. Leheny Lab, JHU Dept. of Physics & Astronomy

"""
Capture an image from a NI frame grabber.

Adapted from code posted by Oliver W. at
http://stackoverflow.com/questions/17095359