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y_true['ds'] = pd.to_datetime(y_true['ds'])
print(y_true.dtypes)

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def filtro(self, df, uid):
	"""Filter forecasted values
	Check acceptable values, replacing when it isn't
	"""
	import statistics
	if uid == 215:
		lower_limit = 10
		upper_limit = 3000
	elif uid == 216:
		lower_limit = 10

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# Print all numpy array, without truncation
import sys
import numpy
numpy.set_printoptions(threshold=sys.maxsize)

# Print all pandas dataframe, without truncation
with pd.option_context('display.max_rows', None, 'display.max_columns', None):  # more options can be specified also
    print(df)

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def str_to_datetime(s, format_in):
	"""
	Convert all elements of a pandas series into datetime format
	"""
	import time
	from datetime import datetime
	from time import mktime
	# Convert from day of year from strptime structure
	strptime_object = s.apply(lambda x: time.strptime(x, format_in))
	# Create datetime object

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#!/bin/bash
# Download files from network

places=('BRB' 'PTR' 'SMS')
years=($(seq 2012 2018))
months=({01..12})
mkdir -p data_amb

for place in "${places[@]}"; do
	echo $place

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import pandas as pd
df1 = pd.read_csv('input.csv', delimiter=';', header=None)

# Save into fixed columns file
import numpy as np
with open('output.dat', 'w') as ofile:
	fmt = '%5d %4d %4d %4d %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f %11.4f'
	np.savetxt(ofile, df1.values, fmt=fmt)

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import pandas as pd
# Loop for all rows
for i in range(0,df.shape[0]):
  # Repace value
	df.loc[i, 'column_name'] = 5.2

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@staticmethod
def print_control(place, day):
	"""
	Print dates/place control
	"""
	#print('%s - %s' %(place, day))
	import sys
	sys.stdout.write('%s - %s\r' %(place, day))
	sys.stdout.flush()

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# conda install -c conda-forge astral
import astral

@staticmethod
def sun_min(place):
	"""
	Return minutes from sunrise to sunset
	"""
	l = astral.Location()
	l.latitude = -15.60083333

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#!/usr/bin/env python3.7.4
# -*- Coding: UTF-8 -*-

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

plt.title('AOD Pequim - Olimpíadas 2008 (221 a 237)')
plt.xlabel('Dia do ano')