evu

import statsmodels.api as sm
from patsy import dmatrices
import numpy as np

y, X = dmatrices("time_s ~ cloud + model + sensor", data=df)

# Note that offset is in 100s of square miles
offset = np.asarray(df["sq_mi"]) / 100

m = sm.Poisson(y, X, offset=offset)

evu

palette = iter(sns.color_palette("tab10"))

# Plot points
g = sns.scatterplot(x=x, y=y, color=next(palette))
g.grid(False)

# Plot regression line
m, b = np.polyfit(x, y, 1)
linecolor = next(palette)
xr = range(x.min(), x.max(), 1)

evu

import rasterio as rio

ds = rio.open(img_file)

for lon, lat in points:
    y, x = ds.index(lon, lat)
    print(x, y)

evu

#!/bin/bash
for i in $(seq $(getconf _NPROCESSORS_ONLN)); do yes > /dev/null & done

echo "To stop, run:"
echo "killall yes"
echo

sleep 60
killall yes

evu

#!/usr/bin/env bash

# Check we've got command line arguments
if [ -z "$*" ] ; then
    echo "Need to specify ssh options"
    exit 1
fi

# Start trying and retrying
((count = 100))

evu

"""
_jaccard.py : Jaccard metric for comparing set similarity.

"""

import numpy as np


def jaccard(im1, im2):
    """

evu

sudo yum install gcc make zlib-devel bzip2 bzip2-devel readline-devel sqlite sqlite-devel tk-devel libffi-devel xz-devel
sudo yum remove openssl-devel.x86_64
sudo yum autoremove
sudo yum install openssl11-devel

evu

import base64
import io
import json
import urllib.request
import zipfile

from pathlib import Path
from urllib.parse import urlparse