dylanbstorey

#!/usr/bin/perl
use warnings;
use strict;
use TaxonomyCirclePack;
use Storable;
use Data::Dumper;


=pod 

dylanbstorey

library(ggplot2)
library(reshape2)
library(vegan)
library(gplots)
library(ggrepel)
library(fossil)

multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
  require(grid)

dylanbstorey

library(ggplot2)
library(reshape2)
library(vegan)
library(gplots)
library(ggrepel)
library(fossil)

global_S <- NULL

dylanbstorey

def is_outlier(list, threshold=3.5):
    """
    Returns a boolean array with True if points are outliers and False
    otherwise.

    Parameters:
    -----------
        points : An numobservations by numdimensions array of observations
        thresh : The modified z-score to use as a threshold. Observations with
            a modified z-score (based on the median absolute deviation) greater

dylanbstorey

dylanbstorey

Dummy File

dylanbstorey

import pickle
import os
from functools import partial

def function(text , a = 3):
    print('this is a function with text {0}  and a = {1}'.format(text , a))

class Test(object):
    """  """
    

dylanbstorey

from dateutil.parser import parse
from skyscout.db_models import *
from sqlalchemy.exc import IntegrityError
import logging

logger = logging.getLogger(__name__)


def drop_all():
    db.drop_all()

dylanbstorey

"""

Adapted from Camille Scott's dammit logger :
https://github.com/camillescott/dammit/blob/master/dammit/log.py

and 

Robpol86 
https://github.com/Robpol86/Flask-Large-Application-Example/blob/master/manage.py#L81

dylanbstorey

import os
import fnmatch
import glob
import shutil

package = os.path.basename(os.path.dirname(__file__))

def task_docs():
    """
    Build our documentation