def generatePurchasePlot(params, df):
print('bar plot entered')
### GENERATE PLOTS ###
x = params.get('x')
y = params.get('y')
hue = params.get('hue')
IMG_PATH = os.path.join(IMG_ROOT_PATH,
str(x) + str(y) + str(hue) + '_bar.jpg')
if os.path.isfile(IMG_PATH) != True:
barPlot(x, y, hue, IMG_PATH, df)
### GENERATE HTML SCRIPT ###
if hue == '':
comment = f'{y} fordelt over {x}'
else:
comment = f'{y} fordelt over {x}, kategorisert i {hue}'
gen_HTML_report(header='Gruppering plot',
sub_header=comment,
IMG_PATH=IMG_PATH)
### RETURN BASICARD RESPONSE ###
print('bar plot entered')
return basiCard(msg=comment, title='Report', url=URL_REPORT)
def generateCountPlot(params, df):
### GENERATE PLOTS ###
gruppe = params.get('gruppe')
hue = params.get('hue')
IMG_PATH = os.path.join(IMG_ROOT_PATH,
str(gruppe) + str(hue) + '_count.jpg')
if os.path.isfile(IMG_PATH) != True:
countPlot(gruppe, hue, IMG_PATH, df)
if hue != '':
comment = f'Antall transaksjoner fordelt i {gruppe}, kategorisert i {hue}'
else:
comment = f'Antall transaksjoner fordelt i {gruppe}'
### GENERATE HTML SCRIPT ###
gen_HTML_report(header='Gruppering plot',
sub_header=comment,
IMG_PATH=IMG_PATH)
### RETURN BASICARD RESPONSE ###
return basiCard(msg=comment, title='Report', url=URL_REPORT)
def generateCorr(params, df):
IMG_PATH = os.path.join(IMG_ROOT_PATH, 'korrelasjon.jpg')
if os.path.isfile(IMG_PATH) != True:
df_pred = pd.read_csv(os.path.join('data', 'BFCleaned.csv'),
index_col=0)
df_pred['Alder'] = df_pred['Alder'].map({
'0-17': 0,
'18-25': 1,
'26-35': 2,
'36-45': 3,
'46-50': 4,
'51-55': 5,
'55+': 6
})
df_pred['Kjønn'] = df_pred['Kjønn'].map({'M': 0, 'F': 1})
df_pred['By'] = df_pred['By'].map({'A': 0, 'B': 1, 'C': 2})
df_pred['Boperiode_i_by'] = df_pred['Boperiode_i_by'].map({
'0': 0,
'1': 1,
'2': 2,
'3': 3,
'4+': 4
})
import seaborn as sns
corrmat = df_pred[[
'Kjønn', 'Alder', 'Yrke', 'By', 'Boperiode_i_by', 'Sivilstatus',
'Produkt_kategori', 'Salg'
]].corr()
fig, ax = plt.subplots(figsize=(10, 6))
sns.heatmap(corrmat, vmax=.8, square=True)
plt.savefig(IMG_PATH)
gen_HTML_report(header='Korrelasjonsmatrise',
sub_header='',
IMG_PATH=IMG_PATH)
### RETURN BASICARD RESPONSE ###
return basiCard(msg='Korrelasjonsmatrise', title='Report', url=URL_REPORT)
def generateKakePlot(params, df):
### GENERATE PLOTS ###
gruppe = params.get('gruppe')
IMG_PATH = os.path.join(IMG_ROOT_PATH, str(gruppe) + '_kake.jpg')
if os.path.isfile(IMG_PATH) != True:
kakePlot(gruppe, IMG_PATH, df)
### GENERATE HTML SCRIPT ###
gen_HTML_report(header='Gruppering plot',
sub_header=f'Antall transaksjoner fordelt i {gruppe}',
IMG_PATH=IMG_PATH)
### RETURN BASICARD RESPONSE ###
return basiCard(msg=f'Antall transaksjoner fordelt i {gruppe}',
title='Report',
url=URL_REPORT)