AdrianoPereira

AdrianoPereira

# Read the GRIB file into a DataFrame
grib_df = spark.read.format("binaryFile").option("pathGlobFilter", "*.grb").load("/path/to/grib/file.grb")

# Define a function to read the GRIB file using cfgrib
def read_grib_file(file_path):
    with cfgrib.open_file(file_path) as ds:
        # Read the GRIB data into a pandas DataFrame
        grib_data = ds.to_dataframe()
        return grib_data

AdrianoPereira

AdrianoPereira

np.random.seed(42)
pixels = ['64-pixel', '96-pixel', '128-pixel', '160-pixel']
layers = ['1-layer', '2-layers', '3-layers', '4-layers', '5-layers']
rmse = np.random.uniform(1.5, 2.5, 20).reshape((4, 5))
rmse2 = np.random.uniform(0.5, .9, 20).reshape((4, 5))



dpi = 96
xmonitor = np.round(1366 * 80 / 100)/dpi

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Call function to create file...
File created
Reading file...
Variables...
Variable scalarVar: 
Shape:  (1,)
Value:  [--]
Variable arrayVar: 
Shape:  (100,)
Value:  [  1.   2.   3.   4.   5.   6.   7.   8.   9.  10.  11.  12.  13.  14.

AdrianoPereira

import numpy as np
import netCDF4 as nc

FILENAME = "./ex001.nc" # File name

DIM1 = 1 # Scalar dimension
DIM2 = 100 # 1-D Array dimension
DIM3 = 20 # Rows matrix
DIM4 = 100 # Columns matrix

AdrianoPereira

import gzip as gz
import matplotlib.pyplot as plt
from string import Template
from matplotlib.colors import Normalize
from metpy.plots import colortables as ct
import os
import numpy as np
import pandas as pd
from matplotlib.colorbar import make_axes
import datetime as dt

AdrianoPereira

import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
from metpy.plots import colortables as ct
import os
import numpy as np
import cartopy.crs as ccrs
import cartopy.feature as cfeature
from matplotlib.colorbar import make_axes
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import gzip as gz

AdrianoPereira

import os
from bs4 import BeautifulSoup
import json


def get_filepaths(path):
	return [os.path.join(path, talk) for talk in os.listdir(path)]


def extract_questions_talk(filepath):

AdrianoPereira

import numpy as np
from goamazondownloader import SBandRadar
import tarfile as tar
import os


'''
Before to running, install the `goamazondownloader` library using the command 
below: