Merging dictionaries is a common task in Python programming. Suppose you have two separate dictionaries and want to combine them into one. In Python 3.9 and later, this is very easy thanks to the union operator (|).<\/p>\n
# Two sample dictionaries\ndic_1 = {'x1': 1, 'x2': 2}\ndic_2 = {'y1': 3, 'y2': 4}\n\n# Merge them using the union operator\ndic_merged = dic_1 | dic_2\n\nprint(dic_merged)<\/pre>\nOutput:<\/p>\n
{'x1': 1, 'x2': 2, 'y1': 3, 'y2': 4}<\/pre>\n <\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Merging dictionaries is a common task in Python programming. Suppose you have two separate dictionaries and want to combine them into one. In Python 3.9 and later, this is very easy thanks to the union operator (|). # Two sample dictionaries dic_1 = {‘x1’: 1, ‘x2’: 2} dic_2 = {‘y1’: 3, ‘y2’: 4} # Merge […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"yes","_lmt_disable":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[2],"tags":[3],"class_list":["post-10318","post","type-post","status-publish","format-standard","hentry","category-python","tag-python"],"modified_by":"gantovnik","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8bH0k-2Gq","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":1185,"url":"https:\/\/gantovnik.com\/bio-tips\/2021\/11\/204-mandelbrot-fractal-using-python-2-2-2\/","url_meta":{"origin":10318,"position":0},"title":"#207 Zoom region inset axes","author":"gantovnik","date":"2021-11-27","format":false,"excerpt":"","rel":"","context":"In "python"","block_context":{"text":"python","link":"https:\/\/gantovnik.com\/bio-tips\/category\/python\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex207.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1984,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/12\/398-find-points-of-intersection-of-two-circles\/","url_meta":{"origin":10318,"position":1},"title":"#398 Find points of intersection of two circles","author":"gantovnik","date":"2023-12-26","format":false,"excerpt":"- how to find an equation of the common chord of two intersected circles.","rel":"","context":"In "matplotlib"","block_context":{"text":"matplotlib","link":"https:\/\/gantovnik.com\/bio-tips\/category\/matplotlib\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/12\/ex398.png?fit=640%2C480&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/12\/ex398.png?fit=640%2C480&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/12\/ex398.png?fit=640%2C480&ssl=1&resize=525%2C300 1.5x"},"classes":[]},{"id":2104,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/411-clustering-using-dbscan-algorithm-in-sklearn-cluster-in-python\/","url_meta":{"origin":10318,"position":2},"title":"#411 Clustering using DBSCAN algorithm in sklearn.cluster in python","author":"gantovnik","date":"2024-01-18","format":false,"excerpt":"DBSCAN works by finding core points that have many data points within a given radius. Once the core is defined, the process is iteratively computed until there are no more core points definable within the maximum radius. 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