nishadhka

\documentclass[10pt]{article}
\usepackage{labels}
\usepackage{url}
\newcommand{\brk}{$\cdot$ }
%\LabelGridtrue % Enable this to 
\LabelCols=2% Number of columns of labels per page
\LabelRows=6% Number of rows of labels per page
\begin{document}
\numberoflabels=12

nishadhka

Based on [this](http://stackoverflow.com/questions/27905295/how-to-replace-nans-by-preceding-values-in-pandas-dataframe)

ee['company']=ee['company'].fillna(method='ffill')

nishadhka

import rasterio
from numpy import copy, random, arange
import numpy as np
from matplotlib import pyplot
from matplotlib.colors import LinearSegmentedColormap

#Reading
dataset = rasterio.open('raster.tif')
#example raster is from https://daac.ornl.gov/VEGETATION/guides/Decadal_LULC_India.html
data=dataset.read(1)

nishadhka

nishadhka

nishadhka

import rasterio.merge

bounds=None
res=None
nodata=None
precision=7

def merge(input1,bounds, res, nodata, precision):
    import warnings
    warnings.warn("Deprecated; Use rasterio.merge instead", DeprecationWarning)

nishadhka

from shapely import geometry

ll=(84.945856,23.475927)
ue=(86.505248, 23.871591)

p1 = geometry.Point(ll[0],ll[1])
p2 = geometry.Point(ue[0],ll[1])
p3 = geometry.Point(ue[0],ue[1])
p4 = geometry.Point(ll[0],ue[1])

nishadhka

nishadhka

import pandas as pd
from shapely.geometry import Point, shape
from geopandas import GeoDataFrame
import fiona
from collections import OrderedDict

# a test to create shape file 
df=pd.read_csv('VNP14IMGTDL_NRT_South_Asia_24h.csv')
geometry = [Point(xy) for xy in zip(df.longitude, df.latitude)]
df = GeoDataFrame(df, geometry=geometry)

nishadhka

from pykml import parser
import pandas as pd

filename='ref1.kml'
with open(filename) as f:
    folder = parser.parse(f).getroot().Document.Folder

plnm=[]
cordi=[]
for pm in folder.Placemark: