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kuchaale

@import url('https://fonts.googleapis.com/css2?family=Roboto+Condensed:wght@300;400&family=Source+Code+Pro:wght@300;400&display=swap');
 
.rendered_html h1,
.rendered_html h2,
.rendered_html h3,
.rendered_html h4 {
    color: #000099;
    font-weight: 400;
}

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import numba
import numpy as np

@numba.jit(nopython=True, fastmath=True)
def move_regress(X, Y, w, fit_intercept=True):
    """Moving window multi-regressions
    
    Solves the least-squares problems `Y[t-w+1:t+1] = X[t-w+1:t+1] @ B[t] + A[t]`
    for `B` and `A` for all `t` in `[w-1, len(Y)-1]`.
 

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library(KFAS)
library(rstan)
data(GlobalTemp)

model_dlm1a <- stan_model("../stan/dlm1a.stan")

y <- as.matrix(GlobalTemp)
data <-
    within(list(),
       {

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kuchaale

from wrf import getvar
from netCDF4 import Dataset
import xarray as xr
import pyproj

# Extract the variables of interest at time index 17
ds = Dataset('../wrfout_d02_2015-07-12_1200.nc')
variables = [getvar(ds, var, 17) for var in ('z', 'dbz', 'pressure', 'ter', 'ua',
                                             'va', 'wa', 'temp', 'rh')]
data = xr.merge(variables)

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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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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 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]