leonardojimenez1990

import urllib
import requests
import xarray as xr
import netCDF4
import numpy as np
import matplotlib.pyplot as plt
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
from matplotlib.cm import get_cmap
import cartopy.crs as ccrs
import cartopy.feature as cf

leonardojimenez1990

import pandas as pd
import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
with xr.open_dataset('hgt.2020.nc') as ds:
    ds.drop_vars('time_bnds')
    hgt = ds.hgt


am, bm,am_mean,bm_mean,cm, fase =0,0,0,0,0,0

leonardojimenez1990

import pandas as pd
import numpy as np
from numpy.linalg import inv
from scipy import linalg

df = pd.read_table('DataEjercicio7', delimiter='\t',decimal=',')
matrix1 = df.loc[:, ['2', '3', '4']]
#matrix1.astype(float)
#matrix1 = matrix1.values