bchartoff

import json
from datetime import datetime
import time

def parse_date(date):
  return datetime.strptime(date, "%Y-%m-%d").date()

count = 0
leg_count = 0
old_ends = []

bchartoff

Sherrod Brown
term N end 1996-10-04
term N+1 start 1997-01-07
gap % 365: 95

Benjamin L. Cardin
term N end 1988-10-22
term N+1 start 1989-01-03
gap % 365: 73

bchartoff

####################################
# diamond data bar chart
# Questions? Email [email protected]
# For more docs, see plot.ly/api
####################################
library(plotly)

py <- plotly(username='USERNAME', key='API_KEY')

bchartoff

####################################
# diamond data bar chart
# Questions? Email [email protected]
# For more docs, see plot.ly/api
####################################
library(plotly)

py <- plotly(username='USERNAME', key='API_KEY')

bchartoff

#combine elements with same name in two named lists (useful for combining layouts)
appendList <- function (x, val)
{
    stopifnot(is.list(x), is.list(val))
    xnames <- names(x)
    for (v in names(val)) {
        x[[v]] <- if (v %in% xnames && is.list(x[[v]]) && is.list(val[[v]])) 
            appendList(x[[v]], val[[v]])
        else c(x[[v]], val[[v]])
    }

bchartoff

#combine elements with same name in two named lists (useful for combining layouts)
appendList <- function (x, val)
{
    stopifnot(is.list(x), is.list(val))
    xnames <- names(x)
    for (v in names(val)) {
        x[[v]] <- if (v %in% xnames && is.list(x[[v]]) && is.list(val[[v]])) 
            appendList(x[[v]], val[[v]])
        else c(x[[v]], val[[v]])
    }

bchartoff

import urllib, urlparse
import re
import random
import numpy

API_KEY = "SDQL_KEY"

#  I want to jiggle Y and Yo?
def jiggler(lst,jiggle):
    return [x + jiggle * ( random.random() - 0.6 ) for x in lst]

bchartoff

import urllib, urlparse
import re
import random
import numpy

API_KEY = "SDQL_KEY"

#  I want to jiggle Y and Yo?
def jiggler(lst,jiggle):
    return [x + jiggle * ( random.random() - 0.6 ) for x in lst]

bchartoff

from rpy2 import robjects                          
r = robjects.r                                                                                    
r.library("ggplot2")
robjects.r("p = ggplot(aes(price, carat), data=diamonds) + geom_point() + facet_grid(clarity ~ color, scales = 'free')") 
r.ggsave('faceted_plot.jpeg') 
robjects.r('print(p)')
r['dev.off']()

bchartoff

MAKES 6 INDIVIDUAL CAKES


5 1/2 ounces imported bittersweet (not unsweetened) chocolate 
     such as Caillbotte or Valrhona
11 Tablespoons unsalted butter

3 large eggs
3 egg yolks
1/4 cup plus 2 Tablespoons sugar