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def line(darray, orient_horizontal = True, *args, **kwargs):
    """
    Line plot of 1 dimensional DataArray index against values
    Wraps matplotlib.pyplot.plot
    Parameters
    ----------
    darray : DataArray
        Must be 1 dimensional
    figsize : tuple, optional
        A tuple (width, height) of the figure in inches.

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import pandas as pd
import matplotlib.pyplot as plt
import seaborn
from sklearn.cluster import KMeans
import numpy as np
from scipy.spatial.distance import cdist, pdist

def eblow(df, n):
    kMeansVar = [KMeans(n_clusters=k).fit(df.values) for k in range(1, n)]
    centroids = [X.cluster_centers_ for X in kMeansVar]

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From here: https://ga7g08.github.io/2015/06/25/ipython-nbconvert-latex-template-to-hide-code/

1. Create a file named hidecode.tplx in the directory of your notebook with the following content:

((*- extends 'article.tplx' -*))

((* block input_group *))
    ((*- if cell.metadata.get('nbconvert', {}).get('show_code', False) -*))
        ((( super() )))
 ((*- endif -*))

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import xarray as xr
import dask.array as da
from dask.delayed import delayed
import numpy as np
from  scipy import stats

# regression function defition
def regression(y):
    """apply linear regression function along time axis"""
    axis_num = y.get_axis_num('time')

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from sys import exit, argv
import datetime, zipfile
import requests

def dlhook(r, *args, **kwargs):
	print('GET %s'%str(r.url))

base_url = "http://mesonet.agron.iastate.edu/request/gis/n0r2gtiff.php?dstr=%s"

def fetch(tme):

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