nmathewa

using NCDataFrame
using NCDatasets
using Pkg
Pkg.add("IntervalSets")
using IntervalSets
using PlotlyJS

ds = NCDataset("ECMWF_ERA-40_subset.nc","r")

nmathewa

using NCDataFrame
using NCDatasets
using PlotlyJS
using Pkg
using Statistics
using NaNStatistics
import NaNStatistics ; na=NaNStatistics


ds = NCDataset("ECMWF_ERA-40_subset.nc","r")

nmathewa

# Importing libraries
using NCDataFrame
using NCDatasets

# create an dnetcdf dataset 
dset = NCDataset("test.nc","c")

# Writing attributes
dset.attrib["Author"] = "Julia NCdataset"

nmathewa

from scipy.interpolate import griddata
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr


file = "your_ncfile.nc"
dset = xr.open_dataset(file)

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

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 Wed May 19 17:55:14 2021

@author: mathew

"""
import xarray as xr
import numpy as np

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 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

"""
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"