检查 Pandas DataFrame 列中的字符串是否在字符串列表中 [英] Check if a string in a Pandas DataFrame column is in a list of strings
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问题描述
如果我有一个这样的框架
If I have a frame like this
frame = pd.DataFrame({'a' : ['the cat is blue', 'the sky is green', 'the dog is black']})
我想检查这些行中是否有任何一行包含某个单词,我只需要这样做.
and I want to check if any of those rows contain a certain word I just have to do this.
frame['b'] = frame.a.str.contains("dog") | frame.a.str.contains("cat") | frame.a.str.contains("fish")
frame['b']
输出:
True
False
True
如果我决定列一个清单
mylist =['dog', 'cat', 'fish']
我将如何检查行中是否包含列表中的某个单词?
how would I check that the rows contain a certain word in the list?
推荐答案
frame = pd.DataFrame({'a' : ['the cat is blue', 'the sky is green', 'the dog is black']})
frame
a
0 the cat is blue
1 the sky is green
2 the dog is black
str.contains
方法接受一个正则表达式模式:
The str.contains
method accepts a regular expression pattern:
mylist = ['dog', 'cat', 'fish']
pattern = '|'.join(mylist)
pattern
'dog|cat|fish'
frame.a.str.contains(pattern)
0 True
1 False
2 True
Name: a, dtype: bool
因为支持正则表达式模式,您还可以嵌入标志:
Because regex patterns are supported, you can also embed flags:
frame = pd.DataFrame({'a' : ['Cat Mr. Nibbles is blue', 'the sky is green', 'the dog is black']})
frame
a
0 Cat Mr. Nibbles is blue
1 the sky is green
2 the dog is black
pattern = '|'.join([f'(?i){animal}' for animal in mylist]) # python 3.6+
pattern
'(?i)dog|(?i)cat|(?i)fish'
frame.a.str.contains(pattern)
0 True # Because of the (?i) flag, 'Cat' is also matched to 'cat'
1 False
2 True
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