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Tiberiu27 merged 1 commit into from
Oct 21, 2020
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Formatare #1

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139 changes: 71 additions & 68 deletions covidPieChart.py
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Original file line number Diff line number Diff line change
@@ -1,82 +1,51 @@
#!python3
#Covid cases pie chart by county, Romania
# Covid cases pie chart by county, Romania
import json, requests, openpyxl, os, sys
import pyinputplus as pyip


#Create a folder where we'll put the file with data
abspath = os.path.abspath(sys.argv[0])
dname = os.path.dirname(abspath)
os.chdir(dname)
os.makedirs('covidData', exist_ok=True)

#Create the excel file
wb = openpyxl.Workbook()
sheet = wb.active
counties = []
cases = []

#Get the JSON data
url = 'https://www.graphs.ro/json.php'
res = requests.get(url)
try:
res.raise_for_status()
except:
print('Could not connect to server.')
w = json.loads(res.text)

#Select the date you're interested in

userDate = pyip.inputDate(prompt= 'Enter a date (yyyy-mm-dd) format: ',formats= ['%Y-%m-%d'])
userDate = str(userDate)
year, month, day = userDate.replace(' ', '').split('-')

userCounty = pyip.inputStr(prompt= 'You are interested in a specific county? ')
userCounty = userCounty.lower()
userCounty = userCounty[0].upper() + userCounty[1:]

#Creating a list with all the county names from the data
countyDict = w['covid_romania'][0]['county_data']
totalCounties = [ county['county_name'].lower() for county in countyDict] #Replacing the for loop with a list comprehension

def daySelector():
def day_selector():
for i in w['covid_romania']:
for v in i.values():
if v == userDate:
dayData = i
cases = i['new_cases_today']
tests = i['new_tests_today']
print(str(cases) + ' cases confirmed from '+ str(tests) + ' tests, that means ' + str(round(cases / (tests / 100),1)) + '%')
print(str(cases) + ' cases confirmed from ' + str(tests) + ' tests, that means ' + str(
round(cases / (tests / 100), 1)) + '%')
return dayData['county_data']


def timeWalking():

def time_walking():
intDay = int(day)
intMonth = int(month)
intYear = int(year)
days = []

for i in range(14):
if (intDay == 0 and intMonth == 10) or (intDay == 0 and intMonth == 12) or (intDay == 0 and intMonth == 5) or (intDay == 0 and intMonth == 7):
if (intDay == 0 and intMonth == 10) or (intDay == 0 and intMonth == 12) or (intDay == 0 and intMonth == 5) or (
intDay == 0 and intMonth == 7):
intDay = 30
intMonth -= 1
elif intDay == 0 and intMonth == 3:
if intYear % 4 == 0:
intDay =2
intDay = 2
intMonth -= 1
else:
intDay = 28
intMonth -= 1
elif intDay == 0:
intDay = 31
intMonth -= 1
days.append(year + '-' + str(intMonth).rjust(2, '0')+ '-' + str(intDay).rjust(2,'0')) #the rjust(2, '0') puts a 0 on the left if the value is single digit.
days.append(year + '-' + str(intMonth).rjust(2, '0') + '-' + str(intDay).rjust(2,
'0')) # the rjust(2, '0') puts a 0 on the left if the value is single digit.
intDay -= 1
return days

def timelineSelector():


def timeline_selector():
cases = {}
timeline = timeWalking()
timeline = time_walking()
for i in w['covid_romania']:
for v in i.values():
if v in timeline:
Expand All @@ -86,57 +55,91 @@ def timelineSelector():
for j in countyList:
if j['county_name'] == userCounty:
cases[v] = j['total_cases']
return cases
return cases

#if user enters a valid county, create new sheet and fill it with data from 14 days.

# Create a folder where we'll put the file with data
abspath = os.path.abspath(sys.argv[0])
dname = os.path.dirname(abspath)
os.chdir(dname)
os.makedirs('covidData', exist_ok=True)

# Create the excel file
wb = openpyxl.Workbook()
sheet = wb.active
counties = []
cases = []

# Get the JSON data
url = 'https://www.graphs.ro/json.php'
res = requests.get(url)
try:
res.raise_for_status()
except:
print('Could not connect to server.')
w = json.loads(res.text)

# Select the date you're interested in

userDate = pyip.inputDate(prompt='Enter a date (yyyy-mm-dd) format: ', formats=['%Y-%m-%d'])
userDate = str(userDate)
year, month, day = userDate.replace(' ', '').split('-')

userCounty = pyip.inputStr(prompt='You are interested in a specific county? ')
userCounty = userCounty.lower()
userCounty = userCounty[0].upper() + userCounty[1:]

# Creating a list with all the county names from the data
countyDict = w['covid_romania'][0]['county_data']
totalCounties = [county['county_name'].lower() for county in
countyDict] # Replacing the for loop with a list comprehension

# if user enters a valid county, create new sheet and fill it with data from 14 days.
if userCounty.lower() in totalCounties:
timeCases = timelineSelector()
timeCases = timeline_selector()
countySheet = wb.create_sheet(userCounty + 'Sheet')
i = 1
for k, v in sorted(timeCases.items()):
countySheet.cell(row= i, column= 1).value = k
countySheet.cell(row= i, column= 2).value = v
countySheet.cell(row=i, column=1).value = k
countySheet.cell(row=i, column=2).value = v
i = i + 1

countyChart = openpyxl.chart.LineChart()
countyChart.style = 12
countyChart.title = 'Evolution of cases'
countyChart.x_axis.title = 'Last 14 days'
countyChart.y_axis.title = 'Confirmed cases'

countyData = openpyxl.chart.Reference(countySheet, min_col= 2, min_row= 1, max_row = countySheet.max_row, max_col= 2)
countyDates = openpyxl.chart.Reference(countySheet, min_col= 1, min_row= 1, max_row= countySheet.max_row)
countyChart.add_data(countyData, titles_from_data= False)
countyData = openpyxl.chart.Reference(countySheet, min_col=2, min_row=1, max_row=countySheet.max_row, max_col=2)
countyDates = openpyxl.chart.Reference(countySheet, min_col=1, min_row=1, max_row=countySheet.max_row)
countyChart.add_data(countyData, titles_from_data=False)
countyChart.set_categories(countyDates)
countyChart.legend = None
countySheet.add_chart(countyChart, 'E5')
data = daySelector()

data = day_selector()
try:
for county in data:
counties.append(county['county_name'])
cases.append(county['total_cases'])
except:
print('Data not found.')
sys.exit(1)
#writing data to excel file
# writing data to excel file
for index, county in enumerate(counties, 1):
sheet.cell(row= index, column= 1).value = county
sheet.cell(row=index, column=1).value = county

for index, case in enumerate(cases, 1):
sheet.cell(row= index, column= 2).value = case
sheet.cell(row=index, column=2).value = case

#Creating the pie chart and saving the excel file
# Creating the pie chart and saving the excel file
pieChart = openpyxl.chart.PieChart()
labels = openpyxl.chart.Reference(sheet, min_col= 1, min_row= 1, max_row= sheet.max_row)
data = openpyxl.chart.Reference(sheet, min_col= 2, min_row= 1, max_row= sheet.max_row)
pieChart.add_data(data, titles_from_data= False)
labels = openpyxl.chart.Reference(sheet, min_col=1, min_row=1, max_row=sheet.max_row)
data = openpyxl.chart.Reference(sheet, min_col=2, min_row=1, max_row=sheet.max_row)
pieChart.add_data(data, titles_from_data=False)
pieChart.set_categories(labels)
pieChart.title = 'Covid cases for ' + userDate
pieChart.height = 12
pieChart.width = 15
sheet.add_chart(pieChart, 'E5')
wb.save(os.path.join('covidData', str(userDate + '.xlsx'))) # the file will be named after the date.



wb.save(os.path.join('covidData', str(userDate + '.xlsx'))) # the file will be named after the date.