def average_and_std_laun():
pass
test = dict()
for row in data.vinna:
if row['Kyn'] == 'Alls' and row['Starfsstétt'] == 'Alls':
test[row['Ár']] = row[
'Heildarlaun - fullvinnandi Efri fjórðungsmörk'], row[
'Heildarlaun - fullvinnandi Neðri fjórðungsmörk']
q1 = list()
q3 = list()
test = ds.key_sort(test)
for q, (w, e) in test:
q1.append(e)
q3.append(w)
q1 = i.toint(q1)
q3 = i.toint(q3)
q1.sort()
q3.sort() # just cuz I caann
listq1 = numpy.array(q1)
stdevq1 = listq1.std()
listq3 = numpy.array(q3)
stdevq3 = listq3.std()
avnedri = numpy.mean(q1)
avefri = numpy.mean(q3)
prosq1 = stdevq1 / avnedri
prosq3 = stdevq3 / avefri
prosfact = avefri / avnedri
prosstd = stdevq3 / stdevq1
plot1 = [prosq1, prosq3]
plot2 = [prosfact, prosstd]
x = [1, 2]
label = ["Neðri fjórðungsmörk", "Efri fjórðungsmörk"]
label1 = ['Hlutfall milli meðaltals', 'Hlutfall milli Staðalfráviks']
mp.figure(8)
mp.subplot(2, 1, 2)
mp.bar(x, plot1, align='center')
mp.title('Prósentutala Staðalfráviks á meðaltali ')
mp.xlim(0, 3)
mp.xticks(x, label)
mp.subplot(2, 1, 1)
mp.bar(x, plot2, align='center')
mp.title('Samanburður á meðaltali og Staðalfráviki')
mp.xticks(x, label1)
mp.xlim(0, 3)
def aldurshop_mentun():
# define parameters
Mentun_ar = ('20 til 24 ára', '25 til 29 ára', '30 til 49 ára',
'50 til 64 ára', '65 til 74 ára')
menntun_kyn = ('Karlar', 'Konur')
AllsMentun = {}
# pick data and plot multiple plots on multiple figures
for menntun in range(len(menntun_menntun)):
for kyn in range(len(menntun_kyn)):
for ar in range(len(Mentun_ar)):
for row in data.menntun:
if row['Kyn'] == menntun_kyn[kyn] and row[
'Menntun'] == menntun_menntun[menntun]:
if row['Aldursflokkur/Búseta'] == Mentun_ar[ar]:
#removing unwanted parameters and leaving only ejeccational level
row = dict_sort.key_sort(row)
row = lti.tuple2_toint(row)
AllsMentun[ar] = row
AllsMentun[Mentun_ar[ar]] = AllsMentun.pop(ar)
# creating 2 dimenational parameters for x and y axis for each age group
# x-year, y-amount
x = np.zeros((len(Mentun_ar), len(AllsMentun[Mentun_ar[0]])))
y = x.copy()
# copying parameters for x and y axis
for i in range(len(Mentun_ar)):
for j in range(len(AllsMentun[(Mentun_ar[i])])):
x[i][j] = AllsMentun[Mentun_ar[i]][j][0]
y[i][j] = AllsMentun[Mentun_ar[i]][j][1]
# download parameters for plloting grpahs
for i in range(len(Mentun_ar)):
plt.figure(menntun)
plt.subplot(2, 1, kyn + 1)
plt.plot(x[i], y[i])
plt.title('Aldursflokkar ({})/ menntun: {}'.format(
menntun_kyn[kyn], menntun_menntun[menntun]))
plt.xlabel('Ár')
plt.ylabel('Mannafjöldi')
plt.legend((Mentun_ar), loc='upper right')
plt.xlim(np.amin(x) - 2, np.amax(x) + 2)
plt.ylim(np.amin(y) - 1000, np.amax(y) + 1000)
plt.grid(True)
plt.tight_layout()
def aldurshop_mentun():
# define parameters
Mentun_ar = ('20 til 24 ára','25 til 29 ára','30 til 49 ára','50 til 64 ára','65 til 74 ára')
menntun_kyn = ('Karlar','Konur')
AllsMentun = {}
# pick data and plot multiple plots on multiple figures
for menntun in range (len(menntun_menntun)):
for kyn in range(len(menntun_kyn)):
for ar in range (len(Mentun_ar)):
for row in data.menntun:
if row['Kyn'] == menntun_kyn[kyn] and row['Menntun'] == menntun_menntun[menntun]:
if row['Aldursflokkur/Búseta'] == Mentun_ar[ar]:
#removing unwanted parameters and leaving only ejeccational level
row = dict_sort.key_sort(row)
row = lti.tuple2_toint(row)
AllsMentun[ar] = row
AllsMentun[Mentun_ar[ar]] = AllsMentun.pop(ar)
# creating 2 dimenational parameters for x and y axis for each age group
# x-year, y-amount
x = np.zeros((len(Mentun_ar),len(AllsMentun[Mentun_ar[0]])))
y = x.copy()
# copying parameters for x and y axis
for i in range(len(Mentun_ar)):
for j in range(len(AllsMentun[(Mentun_ar[i])])):
x[i][j] = AllsMentun[Mentun_ar[i]][j][0]
y[i][j] = AllsMentun[Mentun_ar[i]][j][1]
# download parameters for plloting grpahs
for i in range(len(Mentun_ar)):
plt.figure(menntun)
plt.subplot(2,1,kyn+1)
plt.plot(x[i],y[i])
plt.title('Aldursflokkar ({})/ menntun: {}'.format(menntun_kyn[kyn],menntun_menntun[menntun]))
plt.xlabel('Ár')
plt.ylabel('Mannafjöldi')
plt.legend((Mentun_ar),loc='upper right')
plt.xlim(np.amin(x)-2, np.amax(x)+2)
plt.ylim(np.amin(y)-1000,np.amax(y)+1000)
plt.grid(True)
plt.tight_layout()
def GreiddarStundir_FullvinnandiMedaltal():
#---------------------------bý til dict------------------------
#Allir = dict()
KK = dict()
KVK = dict()
#SkrifstofaAllir = dict()
SkrifstofaKK = dict()
SkrifstofaKVK = dict()
#SerfrAllir = dict()
SerfrKK = dict()
SerfrKVK = dict()
#StjoAllir = dict()
StjoKK = dict()
StjoKVK = dict()
#-------------------------------------Filter gögnin -------------------------------------
for row in data.vinna:
if row['Starfsstétt'] == 'Alls':
#if row['Kyn'] == 'Alls':
#Allir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
KK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
KVK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Skrifstofufólk':
#if row['Kyn'] == 'Alls':
#SkrifstofaAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
SkrifstofaKK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
SkrifstofaKVK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Sérfræðingar':
#if row['Kyn'] == 'Alls':
#SerfrAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
SerfrKK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
SerfrKVK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Stjórnendur':
#if row['Kyn'] == 'Alls':
#StjoAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
StjoKK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
StjoKVK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
#--------------------------------Sorta dict og bý til lista---------------------------------------
#print('Allir: ', StjoAllir)
print('KK: ', StjoKK)
print('KVK: ', StjoKVK)
#Allir = ds.key_sort(Allir)
KK = ds.key_sort(KK)
KVK = ds.key_sort(KVK)
#SkrifstofaAllir = ds.key_sort(SkrifstofaAllir)
SkrifstofaKK = ds.key_sort(SkrifstofaKK)
SkrifstofaKVK = ds.key_sort(SkrifstofaKVK)
#SerfrAllir = ds.key_sort(SerfrAllir)
SerfrKK = ds.key_sort(SerfrKK)
SerfrKVK = ds.key_sort(SerfrKVK)
#StjoAllir = ds.key_sort(StjoAllir)
StjoKK = ds.key_sort(StjoKK)
StjoKVK = ds.key_sort(StjoKVK)
#----------------------------------Breyti listanum í float-------------------------------------------
#Allir = fl.tuple2_tofloat(Allir)
KK = fl.tuple2_tofloat(KK)
KVK = fl.tuple2_tofloat(KVK)
#SkrifstofaAllir = fl.tuple2_tofloat(SkrifstofaAllir)
SkrifstofaKK = fl.tuple2_tofloat(SkrifstofaKK)
SkrifstofaKVK = fl.tuple2_tofloat(SkrifstofaKVK)
#SerfrAllir = fl.tuple2_tofloat(SerfrAllir)
SerfrKK = fl.tuple2_tofloat(SerfrKK)
SerfrKVK = fl.tuple2_tofloat(SerfrKVK)
#StjoAllir = fl.tuple2_tofloat(StjoAllir)
StjoKK = fl.tuple2_tofloat(StjoKK)
StjoKVK = fl.tuple2_tofloat(StjoKVK)
#---------------------------------------Bý til lista ------------------------------------
# Allir
#xA = list()
#yA = list()
xK = list()
yK = list()
xKV = list()
yKV = list()
# Skrifstofa
#xSKA = list()
#ySKA = list()
xSKK = list()
ySKK = list()
xSKV = list()
ySKV = list()
#Sérfræðingar
#xSerKA = list()
#ySerKA = list()
xSerKK = list()
ySerKK = list()
xSerKV = list()
ySerKV = list()
# Stjórnendur
#xStjoA = list()
#yStjoA = list()
xStjoKK = list()
yStjoKK = list()
xStjoKV = list()
yStjoKV = list()
#-------------------------------------------Skipti gögnunum í tvennt----------------------------------
# for i in range(len(Allir)):
# xA.append(Allir[i][0])
# yA.append(Allir[i][1])
for i in range(len(KK)):
xK.append(KK[i][0])
yK.append(KK[i][1])
for i in range(len(KVK)):
xKV.append(KVK[i][0])
yKV.append(KVK[i][1])
#---------------------------
# for i in range(len(SkrifstofaAllir)):
# xSKA.append(SkrifstofaAllir[i][0])
# ySKA.append(SkrifstofaAllir[i][1])
for i in range(len(SkrifstofaKK)):
xSKK.append(SkrifstofaKK[i][0])
ySKK.append(SkrifstofaKK[i][1])
for i in range(len(KVK)):
xSKV.append(SkrifstofaKVK[i][0])
ySKV.append(SkrifstofaKVK[i][1])
#---------------------------
# for i in range(len(SerfrAllir)):
# xSerKA.append(SkrifstofaAllir[i][0])
# ySerKA.append(SkrifstofaAllir[i][1])
for i in range(len(SerfrKK)):
xSerKK.append(SerfrKK[i][0])
ySerKK.append(SerfrKK[i][1])
for i in range(len(SerfrKVK)):
xSerKV.append(SerfrKVK[i][0])
ySerKV.append(SerfrKVK[i][1])
#---------------------------
# for i in range(len(StjoAllir)):
# xStjoA.append(Allir[i][0])
# yStjoA.append(Allir[i][1])
for i in range(len(StjoKK)):
xStjoKK.append(StjoKK[i][0])
yStjoKK.append(StjoKK[i][1])
for i in range(len(StjoKVK)):
xStjoKV.append(StjoKVK[i][0])
yStjoKV.append(StjoKVK[i][1])
#-----------------------------------------------------------------------------
plt.figure(10)
plt.subplot(2, 1, 1)
plt.xticks([year for year in xK])
plt.plot(xK,yK)
plt.plot(xKV,yKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Allar')
plt.legend(('Karlar','Konur'))
plt.subplot(2,1,2)
plt.xticks([year for year in xSKK])
plt.plot(xSKK,ySKK)
plt.plot(xSKV,ySKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Skrifstofa')
plt.legend(('Karlar','Konur'))
plt.figure(11)
plt.subplot(2,1,1)
plt.xticks([year for year in xSerKK])
plt.plot(xSerKK,ySerKK)
plt.plot(xSerKV,ySerKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Sérfræðingar')
plt.legend(('Karlar','Konur'))
plt.subplot(2,1,2)
plt.xticks([year for year in xStjoKK])
plt.plot(xStjoKK,yStjoKK)
plt.plot(xStjoKV,yStjoKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Stjórnendur')
plt.legend(('Karlar','Konur'))
plt.show()
print()
print()
data.print_keys()
def innanh_vs_utanh(): # svo hægt sé að vitna í þetta í öðrum skrám pass lol = ['Konur','Karlar'] # hvaða breytur á að skoða for illad in range(2): test = dict() input1 = lol[illad] for row in data.menntun: if row['Kyn'] == input1 and row['Aldursflokkur/Búseta'] == 'Höfuðborgarsvæði 16-74 ára': # hvaða breytur á að skoða við hvaða tilefni if row['Menntun'] == 'Háskólamenntun - ISCED 5, 6': test = row # skrifað inn í tímabundna skrá test test = ds.key_sort(test) # sorterað test = test[:-3] # teknir þeir dálkar af gögnunum sem ekki skipta máli hello = i.tuple2_toint(test) # gögnum breytt í tölur af gerð int for row in data.menntun: if row['Kyn'] == input1 and row['Aldursflokkur/Búseta'] == 'Höfuðborgarsvæði 16-74 ára': if row['Menntun'] == 'Alls': test = row test = ds.key_sort(test) test = test[:-3] hello1 = i.tuple2_toint(test) for row in data.menntun: if row['Kyn'] == input1 and row['Aldursflokkur/Búseta'] == 'Utan höfuðborgarsvæðis 16-74 ára': if row['Menntun'] == 'Háskólamenntun - ISCED 5, 6': test = row test = ds.key_sort(test) test = test[:-3] hello2 = i.tuple2_toint(test) for row in data.menntun: if row['Kyn'] == input1 and row['Aldursflokkur/Búseta'] == 'Utan höfuðborgarsvæðis 16-74 ára': if row['Menntun'] == 'Alls': test = row test = ds.key_sort(test) test = test[:-3] hello3 = i.tuple2_toint(test) # viss gögn vinsuð úr inní eftirfarandi breytur x = list() has = list() allir = list() hasland = list() allirland = list() for key, value in hello: x.append(key) has.append(value) for key, value in hello1: allir.append(value) for key, value in hello2: hasland.append(value) for key, value in hello3: allirland.append(value) avhas = numpy.mean(has)# meðaltal fundið avall = numpy.mean(allir) avhasland = numpy.mean(hasland) avallirland = numpy.mean(allirland) plot1 = avhas/avall # Hlutfall fundið plot2 = avhasland/avallirland plot = [plot1,plot2] xas = [1,2] label = ["Innan höfuðborgarsvæðisins","Utan höfuðborgarsvæðisins"] title = [' Prósentumunur á konum sem fá sé Háskólamenntun innan og utan höfuðborgarsvæðis',' Prósentumunur á körlum sem fá sé Háskólamenntun innan og utan höfuðborgarsvæðis'] mp.figure(illad+6) # gögn plottuð upp sem bar graf, mynd 6 út af main skrá mp.bar(xas, plot, align = 'center') mp.title(title[illad]) mp.xticks(xas, label) mp.xlim(0,3) # x ás cappaður í 0-3
Konur = dict(); Karlar = dict() #Breytur sem fara inn í plot Ment = 'Háskólamenntun - ISCED 5, 6' Ald = '16 til 74 ára' for row in data.menntun: if row['Menntun'] == Ment and row ['Aldursflokkur/Búseta'] == Ald and row['Kyn'] == 'Karlar': Karlar = row for row in data.menntun: if row['Menntun'] == Ment and row ['Aldursflokkur/Búseta'] == Ald and row['Kyn'] == 'Konur': Konur = row # Flokka dictionary eftir lyklum Karlar = dict_sort.key_sort(Karlar) Konur = dict_sort.key_sort(Konur) # Breyta tuple í int Karlar = lti.tuple2_toint(Karlar) Konur = lti.tuple2_toint(Konur) ArKK = list(); FjKK = list(); ArKvK = list(); FjKvK = list(); Fj = list() # Setja int í lista for x,y in Karlar: ArKK.append(x) FjKK.append(y) for z,k in Konur: ArKvK.append(z)
def GreiddarStundir_FullvinnandiMedaltal():
#---------------------------bý til dict------------------------
#Allir = dict()
KK = dict()
KVK = dict()
#SkrifstofaAllir = dict()
SkrifstofaKK = dict()
SkrifstofaKVK = dict()
#SerfrAllir = dict()
SerfrKK = dict()
SerfrKVK = dict()
#StjoAllir = dict()
StjoKK = dict()
StjoKVK = dict()
#-------------------------------------Filter gögnin -------------------------------------
for row in data.vinna:
if row['Starfsstétt'] == 'Alls':
#if row['Kyn'] == 'Alls':
#Allir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
KK[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
KVK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Skrifstofufólk':
#if row['Kyn'] == 'Alls':
#SkrifstofaAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
SkrifstofaKK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
SkrifstofaKVK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Sérfræðingar':
#if row['Kyn'] == 'Alls':
#SerfrAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
SerfrKK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
SerfrKVK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Stjórnendur':
#if row['Kyn'] == 'Alls':
#StjoAllir[row['Ár']] = row['Greiddar stundir - fullvinnandi Meðaltal']
if row['Kyn'] == 'Karlar':
StjoKK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
StjoKVK[row['Ár']] = row[
'Greiddar stundir - fullvinnandi Meðaltal']
#--------------------------------Sorta dict og bý til lista---------------------------------------
#print('Allir: ', StjoAllir)
print('KK: ', StjoKK)
print('KVK: ', StjoKVK)
#Allir = ds.key_sort(Allir)
KK = ds.key_sort(KK)
KVK = ds.key_sort(KVK)
#SkrifstofaAllir = ds.key_sort(SkrifstofaAllir)
SkrifstofaKK = ds.key_sort(SkrifstofaKK)
SkrifstofaKVK = ds.key_sort(SkrifstofaKVK)
#SerfrAllir = ds.key_sort(SerfrAllir)
SerfrKK = ds.key_sort(SerfrKK)
SerfrKVK = ds.key_sort(SerfrKVK)
#StjoAllir = ds.key_sort(StjoAllir)
StjoKK = ds.key_sort(StjoKK)
StjoKVK = ds.key_sort(StjoKVK)
#----------------------------------Breyti listanum í float-------------------------------------------
#Allir = fl.tuple2_tofloat(Allir)
KK = fl.tuple2_tofloat(KK)
KVK = fl.tuple2_tofloat(KVK)
#SkrifstofaAllir = fl.tuple2_tofloat(SkrifstofaAllir)
SkrifstofaKK = fl.tuple2_tofloat(SkrifstofaKK)
SkrifstofaKVK = fl.tuple2_tofloat(SkrifstofaKVK)
#SerfrAllir = fl.tuple2_tofloat(SerfrAllir)
SerfrKK = fl.tuple2_tofloat(SerfrKK)
SerfrKVK = fl.tuple2_tofloat(SerfrKVK)
#StjoAllir = fl.tuple2_tofloat(StjoAllir)
StjoKK = fl.tuple2_tofloat(StjoKK)
StjoKVK = fl.tuple2_tofloat(StjoKVK)
#---------------------------------------Bý til lista ------------------------------------
# Allir
#xA = list()
#yA = list()
xK = list()
yK = list()
xKV = list()
yKV = list()
# Skrifstofa
#xSKA = list()
#ySKA = list()
xSKK = list()
ySKK = list()
xSKV = list()
ySKV = list()
#Sérfræðingar
#xSerKA = list()
#ySerKA = list()
xSerKK = list()
ySerKK = list()
xSerKV = list()
ySerKV = list()
# Stjórnendur
#xStjoA = list()
#yStjoA = list()
xStjoKK = list()
yStjoKK = list()
xStjoKV = list()
yStjoKV = list()
#-------------------------------------------Skipti gögnunum í tvennt----------------------------------
# for i in range(len(Allir)):
# xA.append(Allir[i][0])
# yA.append(Allir[i][1])
for i in range(len(KK)):
xK.append(KK[i][0])
yK.append(KK[i][1])
for i in range(len(KVK)):
xKV.append(KVK[i][0])
yKV.append(KVK[i][1])
#---------------------------
# for i in range(len(SkrifstofaAllir)):
# xSKA.append(SkrifstofaAllir[i][0])
# ySKA.append(SkrifstofaAllir[i][1])
for i in range(len(SkrifstofaKK)):
xSKK.append(SkrifstofaKK[i][0])
ySKK.append(SkrifstofaKK[i][1])
for i in range(len(KVK)):
xSKV.append(SkrifstofaKVK[i][0])
ySKV.append(SkrifstofaKVK[i][1])
#---------------------------
# for i in range(len(SerfrAllir)):
# xSerKA.append(SkrifstofaAllir[i][0])
# ySerKA.append(SkrifstofaAllir[i][1])
for i in range(len(SerfrKK)):
xSerKK.append(SerfrKK[i][0])
ySerKK.append(SerfrKK[i][1])
for i in range(len(SerfrKVK)):
xSerKV.append(SerfrKVK[i][0])
ySerKV.append(SerfrKVK[i][1])
#---------------------------
# for i in range(len(StjoAllir)):
# xStjoA.append(Allir[i][0])
# yStjoA.append(Allir[i][1])
for i in range(len(StjoKK)):
xStjoKK.append(StjoKK[i][0])
yStjoKK.append(StjoKK[i][1])
for i in range(len(StjoKVK)):
xStjoKV.append(StjoKVK[i][0])
yStjoKV.append(StjoKVK[i][1])
#-----------------------------------------------------------------------------
plt.figure(10)
plt.subplot(2, 1, 1)
plt.xticks([year for year in xK])
plt.plot(xK, yK)
plt.plot(xKV, yKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Allar')
plt.legend(('Karlar', 'Konur'))
plt.subplot(2, 1, 2)
plt.xticks([year for year in xSKK])
plt.plot(xSKK, ySKK)
plt.plot(xSKV, ySKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Skrifstofa')
plt.legend(('Karlar', 'Konur'))
plt.figure(11)
plt.subplot(2, 1, 1)
plt.xticks([year for year in xSerKK])
plt.plot(xSerKK, ySerKK)
plt.plot(xSerKV, ySerKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Sérfræðingar')
plt.legend(('Karlar', 'Konur'))
plt.subplot(2, 1, 2)
plt.xticks([year for year in xStjoKK])
plt.plot(xStjoKK, yStjoKK)
plt.plot(xStjoKV, yStjoKV)
plt.ylabel('Klukkutímar')
plt.title('Greiddar stundir fyrir fullla vinnu - Starfstétt- Stjórnendur')
plt.legend(('Karlar', 'Konur'))
plt.show()
print()
print()
data.print_keys()
if row['Kyn'] == 'Alls':
verka_all[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Karlar':
verka_kk[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
verka_kvk[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
elif row['Starfsstétt'] == 'Þjónustu-, sölu- og afgreiðslufólk':
if row['Kyn'] == 'Alls':
solu_all[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Karlar':
solu_kk[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
elif row['Kyn'] == 'Konur':
solu_kvk[row['Ár']] = row['Heildarlaun - fullvinnandi Meðaltal']
############################## Sort dictionaries and get lists ###################################
avg_all = dict_sort.key_sort(avg_all)
avg_kk = dict_sort.key_sort(avg_kk)
avg_kvk = dict_sort.key_sort(avg_kvk)
avg2_all = dict_sort.key_sort(avg2_all)
avg2_kk = dict_sort.key_sort(avg2_kk)
avg2_kvk = dict_sort.key_sort(avg2_kvk)
stjorn_all = dict_sort.key_sort(stjorn_all)
stjorn_kk = dict_sort.key_sort(stjorn_kk)
stjorn_kvk = dict_sort.key_sort(stjorn_kvk)
serfr_all = dict_sort.key_sort(serfr_all)
serfr_kk = dict_sort.key_sort(serfr_kk)
serfr_kvk = dict_sort.key_sort(serfr_kvk)
idnad_all = dict_sort.key_sort(idnad_all)
idnad_kk = dict_sort.key_sort(idnad_kk)
idnad_kvk = dict_sort.key_sort(idnad_kvk)
skrifst_all = dict_sort.key_sort(skrifst_all)
