sdhutchins

# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

sdhutchins

#!/usr/bin/env python

from multiprocessing import Process, Pool
import time
import urllib2

def millis():
  return int(round(time.time() * 1000))

def http_get(url):

sdhutchins

import yaml
import json
import pandas as pd

df = pd.DataFrame({'one': [1.0, 2.1, 3.2], 'two': [4.3, 5.4, 6.5]})

with open('df.yml', 'w') as file:
    yaml.dump({'result': json.loads(df.to_json(orient='records'))}, file, default_flow_style=False)

sdhutchins

library(shiny)
library(deSolve)
library(cummeRbund)

# load cuffDiff data, must be in top dir and called cuffData.db:
cuff = readCufflinks()

shinyServer(function(input,output) {
    
	getData = reactive(function() {