Baysan mebaysan

	import pandas as pd

	DF = pd.read_csv('example.csv')

	def data_filtrele(city, region, cat1, cat2, cat3, start_date, end_date):
	filtered_df = DF
	filtered_df = filtered_df[filtered_df['CITY'] == city] if city != 'Hepsi' else filtered_df
	filtered_df = filtered_df[filtered_df['REGION'] == region] if region != 'Hepsi' else filtered_df
	filtered_df = filtered_df[filtered_df['CATEGORY_NAME1'] == cat1] if cat1 != 'Hepsi' else filtered_df
	filtered_df = filtered_df[filtered_df['CATEGORY_NAME2'] == cat2] if cat2 != 'Hepsi' else filtered_df

	import plotly.graph_objects as go

	def get_sankey(data,path,value_col):
	sankey_data = {
	'label':[],
	'source': [],
	'target' : [],
	'value' : []
	}
	counter = 0

	import pandas as pd
	import numpy as np
	import plotly.graph_objects as go
	import plotly.express as px
	from plotly.subplots import make_subplots
	import json
	from unidecode import unidecode

	with open('tr-cities-utf8.json','r') as file: # geojson dosyamızı açıyoruz
	geojson = json.load(file)

-############## Yöntem 1 ##############
-istanbullar = sehirler[sehirler.sehir_ad.str.match('İstanbul*')]
-mask = sehirler['sehir_ad'].isin(['İstanbul (Avrupa)', 'İstanbul (Anadolu)'])
-sehirler = sehirler[~mask]
-istanbullar.loc[:,'sehir_ad'] = 'İstanbul'
-sehirler = pd.concat([sehirler,istanbullar])
-############## Yöntem 2 ##############
-istanbullar = sehirler.loc[sehirler['sehir_ad'].str.contains('İst*')]
-sehirler = sehirler.drop(istanbullar.index)