sdhutchins

import streamlit as st
import pandas as pd

def select_options():
    """Select options based on the user's selection and update the session state.

    This function is triggered when the selection of options changes. It checks if "All" is selected and updates
    the session state accordingly. If "All" is selected, it sets the selected options to all options except "All",
    and updates the maximum number of selections. If "All" is not selected, it updates the maximum number of selections
    based on the available options.

sdhutchins

install.packages(c('devtools', 'tidyverse', 'shiny', 'DT', 'rmarkdown', 'testthat', 'roxygen2', 'BiocManager', 'usethis', 'pkgdown', 'workflowr', 'ggpubr', 'ggthemes', 'sciplot', 'swirl', 'styler', 'ggsci', 'blogdown', 'bookdown', 'sinew', 'available'))

devtools::install_github('Mikata-Project/ggthemr')
devtools::install_github("max-alletsee/rstudio-themes")

sdhutchins

Function pevaluate(p1 As Integer, p2 As Integer, data As String)

If p1 <= 0.05 And p2 <= 0.05 Then
    pevaluate = data & "*†"
ElseIf p1 <= 0.05 Then
    pevaluate = data & "*"
ElseIf p2 <= 0.05 Then
    pevaluate = data & "†"
End If
End Function

sdhutchins

Keybase proof

I hereby claim:

• I am sdhutchins on github.
• I am sdhutchins (https://keybase.io/sdhutchins) on keybase.
• I have a public key ASDe2oDMwMTPl8xU2hhtEjDmNr6JcRO6i2z-OfIlmt8llwo

To claim this, I am signing this object:

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() {

sdhutchins

import pycodestyle
import os


def checkstyle(rootpath):
    r = rootpath
    for root, dirs, files in os.walk(r, topdown=True):
        for f in files:
            if f.endswith('.py'):
                fchecker = pycodestyle.Checker(os.path.join(root, f),

sdhutchins

"""Random Utilities"""

import shutil
import os
import subprocess


class StyleFix:
    """Perform automatic pep8 for code in a top down fashion.
    

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

#!/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

# 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)]