将百万/十亿缩写改为实际数字?即.5.12M - > 5,120,000

Dav*_*ime 3 r dataframe tidyr

正如标题所示,我正在寻找一种方法将短手缩写的"字符"文本转换为数字数据.例如,我想在我的数据框中进行这些更改:

84.06M -> 84,060,000
30.12B -> 30,120,000,000
9.78B -> 9,780,000,000
251.29M -> 251,29,000
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以下是我正在使用的一些数据框的示例:

    Index Market Cap    Income   Sales Book/sh
ZX              -     84.06M    -1.50M 359.50M    7.42
ZTS       S&P 500     30.13B   878.00M   5.02B    3.49
ZTR             -          -         -       -       -
ZTO             -      9.78B   288.30M   1.47B    4.28
ZPIN            -      1.02B    27.40M 285.20M    4.27
ZOES            -    251.29M    -0.20M 294.10M    6.79
ZNH             -     10.92B   757.40M  17.26B   33.23
ZF              -          -         -       -       -
ZEN             -      2.78B  -106.70M 363.60M    3.09
ZBK             -      6.06B         -   2.46B   34.65
ZBH       S&P 500     22.76B   712.00M   7.78B   50.94
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有人有什么建议吗?我在想基地的gsub ...

小智 7

你可以试试这个

num <- c("1.23M", "15.69B", "123.999M")
num <- gsub('B', 'e9', num)
num <- gsub('M', 'e6', num)
format(as.numeric(num), scientific = FALSE, big.mark = ",")

"84,060,000" "30,120,000,000" "251,290,000"
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