从带有电影名称字符串的列中提取年份答案

【问题标题】：Extract year from column with string of movie names从带有电影名称字符串的列中提取年份
【发布时间】：2023-01-15 10:10:09
【问题描述】：

我有以下数据，在名为 train_df 的表中有两列，“title name”和“gross”：

gross       title name
760507625.0 Avatar (2009)
658672302.0 Titanic (1997)
652270625.0 Jurassic World (2015)
623357910.0 The Avengers (2012)
534858444.0 The Dark Knight (2008)
532177324.0 Rogue One (2016)
474544677.0 Star Wars: Episode I - The Phantom Menace (1999)
459005868.0 Avengers: Age of Ultron (2015)
448139099.0 The Dark Knight Rises (2012)
436471036.0 Shrek 2 (2004)
424668047.0 The Hunger Games: Catching Fire (2013)
423315812.0 Pirates of the Caribbean: Dead Man's Chest (2006)
415004880.0 Toy Story 3 (2010)
409013994.0 Iron Man 3 (2013)
408084349.0 Captain America: Civil War (2016)
408010692.0 The Hunger Games (2012)
403706375.0 Spider-Man (2002)
402453882.0 Jurassic Park (1993)
402111870.0 Transformers: Revenge of the Fallen (2009)
400738009.0 Frozen (2013)
381011219.0 Harry Potter and the Deathly Hallows: Part 2 (2011)
380843261.0 Finding Nemo (2003)
380262555.0 Star Wars: Episode III - Revenge of the Sith (2005)
373585825.0 Spider-Man 2 (2004)
370782930.0 The Passion of the Christ (2004)

我想从“标题名称”中删除日期。输出应如下所示：

gross   title name
760507625.0 Avatar
658672302.0 Titanic
652270625.0 Jurassic World
623357910.0 The Avengers
534858444.0 The Dark Knight

忽略毛列，因为它不需要更改。

【问题讨论】：

标签： python pandas string dataframe numpy

【解决方案1】：

使用str.replace我们可以尝试：

train_df["title name"] = train_df["title name"].str.replace(r's+(d{4})$', '', regex=True)

【讨论】：