from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf

import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd

## proxy setting
import os
os.environ['HTTP_PROXY'] = 'http://localhost:1087'
os.environ['HTTPS_PROXY'] = 'http://localhost:1087'

mpl.rcParams['figure.figsize'] = (8, 6)
mpl.rcParams['axes.grid'] = False

zip_path = tf.keras.utils.get_file(
    origin='https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip',
    fname='jena_climate_2009_2016.csv.zip',
    extract=True)
csv_path, _ = os.path.splitext(zip_path)

from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf

import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd

## proxy setting
import os
os.environ['HTTP_PROXY'] = 'http://localhost:1087'
os.environ['HTTPS_PROXY'] = 'http://localhost:1087'

mpl.rcParams['figure.figsize'] = (8, 6)
mpl.rcParams['axes.grid'] = False

zip_path = tf.keras.utils.get_file(
    origin='https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip',
    fname='jena_climate_2009_2016.csv.zip',
    extract=True)
csv_path, _ = os.path.splitext(zip_path)

## proxy setting