squarednob

## addUVsphere_on_curves2_fit_curvesize1_test3_functionize1.py
def addUVsphereOnCurves(number,scale=0.1):
    import bpy
    import mathutils
    from mathutils import Vector

    objectList = []
    curveList = []
    lengthList = []
    locationList = []

## D3_CPI_JP_core-corecore.html
<!DOCTYPE html>
<html>
<head>
	<meta charset="utf-8">

	<style>
		.axis text {
		  font: 15px sans-serif;
		}


## README.md

      
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                squarednob
                / README.md
            
            
              Created
              October 9, 2013 15:56
                — forked from patricksurry/README.md
            
          
    Based on http://bl.ocks.org/mbostock/899711 which uses D3 to draw elements into a google maps overlay layer, but doesn't use
d3.geo machinery to draw map geometry. This gist illustrates how to align a D3 mercator projection with google maps so we can do standard d3 mapping stuff on top of the google API.

  
## R elementary
//making bubble chart. circle= data of size.
symbols(teamvelocity$TotalPoints, teamvelocity$TotalDevs, circles=teamvelocity$Team, inches=0.35, fg="#00FFFF", ylab="Team Members", xlab="velocity", bg="#CCCCCC")

//show stacked two charts at the same time. layout() is the frame.
layout(matrix(1:2, nrow = 2))
par(mar = par("mar") * c(0.8,1,1,1))
boxplot(m$mortality, ylim=xr, horizontal = TRUE, xlab="mortality")
hist(m$mortality, ylit=xr)

//以下に永続的に値を適用する＝par

## R ggplot2
//simplest making pointplot
ggplot(m,ase(x=ocean,y=mortality)) + geom_point()

//divide into color on barchart = geom_histogram(aes(fill=...))
g + geom_histogram(alpha=0.5, aes(fill=ocean))

## Github tutorial
// chack if I am on master branch, and hold commited things ahead of pushing.
git status

//clone URL
git@github.com:wantanmen/Electrophoresis.D3.git

//add
git add <file>

//commit

## python webscraping
#1scrapy基本
--items.py でアイテムフィールドを設定する。今回はタイトルとリンク。
from scrapy.item import Item, Field

class CraigslistSampleItem(Item):
    # define the fields for your item here like:
    # name = Field()
	title = Field()
	link = Field()

## python unicode-csv
#1　日本語のcsvファイルを読み込むには、unicodecsvを使う。
#これはcsvを読み込むときにutf-8化した後、出力でunicode化してくれるもの。
#目的のcsvをメモ等などで、utf-8で保存した後、以下で読み込む。

import unicodecsv

f = open("utf30.csv","rb")

r = unicodecsv.reader(f, encoding='utf-8')

## Geocode
#1Get coorinate using pygeocoder and googlemap API throuth place data in Japaneese.
#pygeopicker.py

# -*- coding: utf-8 -*-

from pygeocoder import Geocoder
import unicodecsv

def pick(query):
	print "start"

## Japan_geojson_index.html
<!DOCTYPE html>
<meta charset="utf-8">
<body>
  <script src="http://d3js.org/d3.v2.min.js?2.10.0"></script>
  <script>

    var width = 960,
    height = 700;

    var svg = d3.select("body").append("svg")
	def addUVsphereOnCurves(number,scale=0.1):
	import bpy
	import mathutils
	from mathutils import Vector

	objectList = []
	curveList = []
	lengthList = []
	locationList = []
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">

	<style>
	.axis text {
	font: 15px sans-serif;
	}
	//making bubble chart. circle= data of size.
	symbols(teamvelocity$TotalPoints, teamvelocity$TotalDevs, circles=teamvelocity$Team, inches=0.35, fg="#00FFFF", ylab="Team Members", xlab="velocity", bg="#CCCCCC")

	//show stacked two charts at the same time. layout() is the frame.
	layout(matrix(1:2, nrow = 2))
	par(mar = par("mar") * c(0.8,1,1,1))
	boxplot(m$mortality, ylim=xr, horizontal = TRUE, xlab="mortality")
	hist(m$mortality, ylit=xr)

	//以下に永続的に値を適用する＝par
	//simplest making pointplot
	ggplot(m,ase(x=ocean,y=mortality)) + geom_point()

	//divide into color on barchart = geom_histogram(aes(fill=...))
	g + geom_histogram(alpha=0.5, aes(fill=ocean))
	// chack if I am on master branch, and hold commited things ahead of pushing.
	git status

	//clone URL
	git@github.com:wantanmen/Electrophoresis.D3.git

	//add
	git add <file>

	//commit
	#1scrapy基本
	--items.py でアイテムフィールドを設定する。今回はタイトルとリンク。
	from scrapy.item import Item, Field

	class CraigslistSampleItem(Item):
	# define the fields for your item here like:
	# name = Field()
	title = Field()
	link = Field()
	#1　日本語のcsvファイルを読み込むには、unicodecsvを使う。
	#これはcsvを読み込むときにutf-8化した後、出力でunicode化してくれるもの。
	#目的のcsvをメモ等などで、utf-8で保存した後、以下で読み込む。

	import unicodecsv

	f = open("utf30.csv","rb")

	r = unicodecsv.reader(f, encoding='utf-8')
	#1Get coorinate using pygeocoder and googlemap API throuth place data in Japaneese.
	#pygeopicker.py

	# -- coding: utf-8 --

	from pygeocoder import Geocoder
	import unicodecsv

	def pick(query):
	print "start"
	<!DOCTYPE html>
	<meta charset="utf-8">
	<body>
	<script src="http://d3js.org/d3.v2.min.js?2.10.0"></script>
	<script>

	var width = 960,
	height = 700;

	var svg = d3.select("body").append("svg")