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:
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "notes" | |
} | |
}, | |
"source": [ |
I hereby claim:
To claim this, I am signing this object:
{ | |
"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", |
""" | |
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 |
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: |
{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:9299994bc33725ce2fb54720efc2a7b1a7fb1e955d3914b9e8ba9de6a50bd456" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ |
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') |
# -*- coding:utf-8 -*- | |
""" | |
GEO file downloader | |
Requirements | |
* beautifulsoup4 (pip install lxml beautifulsoup4) | |
* wget | |
Usage | |
1. get CSV file in the GEO browse page. |