nmathewa

import wrf
import pandas as pd
import numpy as np
import plotly.figure_factory as FF
import plotly.graph_objects as go
import time
from scipy.spatial import Delaunay
from netCDF4 import Dataset
direc = "wrfoutput_location"
datain = Dataset(direc)

nmathewa

"""
Created on Thu Mar  4 19:14:00 2021

@author: nma
"""

import numpy as np
from osgeo import gdal,gdal_array

nmathewa

"""
Created on Thu Mar  4 19:14:00 2021

@author: nma
"""

import numpy as np
from osgeo import gdal,osr

nmathewa

"""
Created on Thu Mar  4 19:14:00 2021

@author: nma
"""

import os

raster_f = "A_raster_file.tif"
raster_s = "B_raster_file.tif"

nmathewa

"""
Created on Thu Mar  4 19:14:00 2021

@author: nma
"""
from osgeo import gdal,gdal_array,gdalconst,osr
import numpy as np

raster_f = "A_raster_file.tif"
raster_s = "B_raster_file.tif"

nmathewa

"""
Created on Thu Mar  4 19:14:00 2021

@author: nma
"""
from osgeo import gdal

## file to be converted 
in_file = "in_file.tif"
inn = gdal.Open(in_file,gdalconst.GA_ReadOnly)

nmathewa

from scipy.io import netcdf as nc
import numpy as np

#creatin an sample fil
net = nc.netcdf_file("test.nc",'w')
#making an attribute inside the netCDF file similarly an template can be created
net.author = "Made by NMA"
#creating dimension and its length
net.createDimension('time',10)
# setting up space for values for dimensions and variabls (name , datatype , (dims))

nmathewa

"""
Created on Wed May 19 17:55:14 2021

@author: mathew

"""
import xarray as xr
import numpy as np

nmathewa

import numpy as np
from netCDF4 import Dataset


nc = "your_file.nc"

dset = Dataset(nc)

lats = dset.variables["lat"][:]
lons = dset.variables["lon"][:]

nmathewa

"""
Created on Fri May 28 21:15:01 2021

@author: mathew

"""

import xarray as xr
import matplotlib.pyplot as plt
import cartopy.crs as ccrs