过滤包含特定字符串的行 [英] Filter rows which contain a certain string

问题描述

我必须使用包含字符串 RTB 的那些行作为标准来过滤数据框.

I have to filter a data frame using as criterion those row in which is contained the string RTB.

我正在使用 dplyr.

d.del <- df %>%
  group_by(TrackingPixel) %>%
  summarise(MonthDelivery = as.integer(sum(Revenue))) %>%
  arrange(desc(MonthDelivery))

我知道我可以在 dplyr 中使用 filter 函数，但我不知道如何告诉它检查字符串的内容.

I know I can use the function filter in dplyr but I don't exactly how to tell it to check for the content of a string.

我特别想检查 TrackingPixel 列中的内容.如果字符串包含标签 RTB 我想从结果中删除该行.

In particular I want to check the content in the column TrackingPixel. If the string contains the label RTB I want to remove the row from the result.

推荐答案

@latemail 在上面的评论中已经发布了问题的答案.您可以像这样为 filter 的第二个和后续参数使用正则表达式:

The answer to the question was already posted by the @latemail in the comments above. You can use regular expressions for the second and subsequent arguments of filter like this:

dplyr::filter(df, !grepl("RTB",TrackingPixel))

由于您没有提供原始数据，我将添加一个使用 mtcars 数据集的玩具示例.假设您只对马自达或丰田生产的汽车感兴趣.

Since you have not provided the original data, I will add a toy example using the mtcars data set. Imagine you are only interested in cars produced by Mazda or Toyota.

mtcars$type <- rownames(mtcars)
dplyr::filter(mtcars, grepl('Toyota|Mazda', type))

   mpg cyl  disp  hp drat    wt  qsec vs am gear carb           type
1 21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4      Mazda RX4
2 21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4  Mazda RX4 Wag
3 33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1 Toyota Corolla
4 21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1  Toyota Corona

如果你想反过来做，即不包括丰田和马自达汽车，filter 命令看起来像这样:

If you would like to do it the other way round, namely excluding Toyota and Mazda cars, the filter command looks like this:

dplyr::filter(mtcars, !grepl('Toyota|Mazda', type))

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