Wes McKinney wesm

## gist:1079577
"""
A little script for summarizing my Interactive Broker statements
"""

from pandas import *
from pandas.util.testing import set_trace as st

import numpy as np
from BeautifulSoup import BeautifulSoup

## git_code_churn.py
from dateutil import parser
import subprocess
import os
import re
import sys

import numpy as np

from pandas import *

## gist:1252447
from pandas.util.testing import set_trace
import pandas.util.testing as tm

from pandas import *
import ast
import inspect
import sys

def merge(a, b):
    f, args, _ = parse_stmt(inspect.currentframe().f_back)

## lightning.txt
I want to give a lightning talk about: pandas (http://pandas.sourceforge.net)

I need the projector: yes

## gist:1498531
svn co https://qwt.svn.sourceforge.net/svnroot/qwt/branches/qwt-5.2

cd qwt-5.2

qmake
make
sudo make install

now you're done with qwt

## function_lengths.py
from pandas import DataFrame
from pandas.util.testing import set_trace
import os
import numpy as np
import matplotlib.pyplot as plt

dirs = []
names = []
lengths = []

## groupsort.py
@cython.boundscheck(False)
@cython.wraparound(False)
def groupsort_indexer(ndarray[int32_t] index, Py_ssize_t ngroups):
    cdef:
        Py_ssize_t i, loc, label, n
        ndarray[int32_t] counts, where, result

    # count group sizes, location 0 for NA
    counts = np.zeros(ngroups + 1, dtype='i4')
    n = len(index)

## SelfMerge.ipynb

      
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                wesm
                / SelfMerge.ipynb
            
            
              Created
              September 17, 2012 18:47
            
              
                Self merge example
              
          
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## gist:3831420
# pylint: disable=W0612

import time

import pandas as pd
import numpy as np
import iopro

import gc

## gist:3904544
{
 "metadata": {
  "name": "Basics"
 },
 "nbformat": 2,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
	"""
	A little script for summarizing my Interactive Broker statements
	"""

	from pandas import *
	from pandas.util.testing import set_trace as st

	import numpy as np
	from BeautifulSoup import BeautifulSoup
	from dateutil import parser
	import subprocess
	import os
	import re
	import sys

	import numpy as np

	from pandas import *
	from pandas.util.testing import set_trace
	import pandas.util.testing as tm

	from pandas import *
	import ast
	import inspect
	import sys

	def merge(a, b):
	f, args, _ = parse_stmt(inspect.currentframe().f_back)
	I want to give a lightning talk about: pandas (http://pandas.sourceforge.net)

	I need the projector: yes
	svn co https://qwt.svn.sourceforge.net/svnroot/qwt/branches/qwt-5.2

	cd qwt-5.2

	qmake
	make
	sudo make install

	now you're done with qwt
	from pandas import DataFrame
	from pandas.util.testing import set_trace
	import os
	import numpy as np
	import matplotlib.pyplot as plt

	dirs = []
	names = []
	lengths = []
	@cython.boundscheck(False)
	@cython.wraparound(False)
	def groupsort_indexer(ndarray[int32_t] index, Py_ssize_t ngroups):
	cdef:
	Py_ssize_t i, loc, label, n
	ndarray[int32_t] counts, where, result

	# count group sizes, location 0 for NA
	counts = np.zeros(ngroups + 1, dtype='i4')
	n = len(index)
	# pylint: disable=W0612

	import time

	import pandas as pd
	import numpy as np
	import iopro

	import gc
	{
	"metadata": {
	"name": "Basics"
	},
	"nbformat": 2,
	"worksheets": [
	{
	"cells": [
	{
	"cell_type": "code",