Created
November 17, 2020 12:05
-
-
Save mebaysan/d8ccca32c7d41ca8e00f8d8ef82be823 to your computer and use it in GitHub Desktop.
Plotly Dash uygulamalarım için gelen parametrelere göre veri filtreleme fonksiyonu
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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 | |
filtered_df = filtered_df[filtered_df['CATEGORY_NAME3'] == cat3] if cat3 != 'Hepsi' else filtered_df | |
filtered_df = filtered_df.query(f'DATE_ >= "{start_date}"').query(f'DATE_ <= "{end_date}"') | |
return filtered_df |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment