yong27

{
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   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [

yong27

Keybase proof

I hereby claim:

• I am yong27 on github.
• I am yong27 (https://keybase.io/yong27) on keybase.
• I have a public key ASAjtQNw9SDOQaz1UbCt8SF8R7dYOe-xaZQKCGYa8jmPugo

To claim this, I am signing this object:

yong27

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 성적 데이터 분석\n",
    "\n",
    "인코고등학교 1학년의 중간고사 성적이 나왔습니다. 1반과 2반 두개의 반으로 구성되어 있고, 학생은 각각 6명입니다. 이 성적 데이터로 간단한 데이터 분석을 하고자 합니다. \n",
    "\n",

yong27

"""
It's for counting biological_process terms which have is_a and part_of.

Usage:

    $ wget http://purl.obolibrary.org/obo/go.obo
    $ python3 go_term_stat.py < go.obo

Main data structure

yong27

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[대한민국 SNS 이용현황](http://m.blog.naver.com/mobidays01/220331132165) 블로그 글에 표시된 그림을 좀 다르게 그려보자\n",
    "\n",
    "![](http://mblogthumb1.phinf.naver.net/20150414_20/mobidays01_14290006372183j5KB_JPEG/mobidays_sns%C0%CC%BF%EB%C7%F6%C8%B2.jpg?type=w2)"
   ]

yong27

import pandas as pd
from subprocess import Popen, PIPE

def len_fasta(filename):
    p1 = Popen(['cat', filename], stdout=PIPE, stderr=PIPE)
    p2 = Popen(['grep', '>'], stdin=p1.stdout, stdout=PIPE, stderr=PIPE)
    p3 = Popen(['wc', '-l'], stdin=p2.stdout, stdout=PIPE, stderr=PIPE)

    result, err = p3.communicate()
    if p3.returncode != 0:

yong27

{
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  "name": "",
  "signature": "sha256:9299994bc33725ce2fb54720efc2a7b1a7fb1e955d3914b9e8ba9de6a50bd456"
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 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

yong27

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, kwargs = args
    return df.apply(func, **kwargs)

def apply_by_multiprocessing(df, func, **kwargs):
    workers = kwargs.pop('workers')

yong27

# -*- coding:utf-8 -*-
"""
GEO file downloader

Requirements
 * beautifulsoup4 (pip install lxml beautifulsoup4)
 * wget

Usage
 1. get CSV file in the GEO browse page. 

yong27