从数据框中的字符串中提取子字符串

问题描述：

我有以下ddataframe:

I have the following ddataframe:

                             Company Name        Time Expectation
0                Asta Funding Inc. (ASFI)  9:35 AM ET           -
1                       BlackBerry (BBRY)  7:00 AM ET     ($0.03)
2                    Carnival Corp. (CCL)  9:15 AM ET       $0.09
3                      Carnival PLC (CUK)  0:00 AM ET           -

我希望公司符号放在其自己的单独列中，而不是在公司名称"列中.现在，我只需遍历公司名称，然后RE提取符号，将其放入列表中，然后将其应用于新列，但是我想知道是否有更清洁/更简便的方法.

I would like to have the company symbols in their own seperate column instead of inside the Company Name column. Right now I just have it iterate over the company names, and a RE pulls the symbols, puts it into a list, and then I apply it to the new column, but I'm wondering if there is a cleaner/easier way.

我是整个地图中减少lambda内容的新手.

I'm new to the whole map reduce lambda stuff.

for company in df['Company Name']:
    ticker = re.search("\(.*\)",company).group(0)
    ticker = ticker[1:len(ticker)-1]
    tickers.append(ticker)

答

Regex搜索已内置在熊猫的Series类中.您可以找到文档

Regex search is built into the Series class in pandas. You can find the documentation here. In your case, you could use

df['ticker'] = df['Company Name'].str.extract("\((.*)\)")

从数据框中的字符串中提取子字符串

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