这是this question的扩展,需要对其进行更改以在文本文件中容纳更多行loc
。我想从文本文件中选择看起来像下面那一行的“基本属性”行,然后在数据框中组织它们,就像问题底部的那样。如果您想直接使用该文件,请Here's指向该文件的链接。
df.loc[slc.index[0]] = 0
print(df)
A
0 1
1 2
2 0
3 4
4 5
这是我正在使用的代码:
Bands
输出看起来像这样:
Filename: /blah/blah/blah.txt
ROI: red_2 [Red] 12 points
Basic Stats Min Max Mean Stdev
Band 1 0.032262 0.124425 0.078073 0.028031
Band 2 0.021072 0.064156 0.037923 0.012178
Band 3 0.013404 0.066043 0.036316 0.014787
Band 4 0.005162 0.055781 0.015526 0.013255
Histogram DN Npts Total Percent Acc Pct
Band 1 0.032262 1 1 8.3333 8.3333
Bin=0.00036 0.032624 0 1 0.0000 8.3333
0.032985 0 1 0.0000 8.3333
0.033346 0 1 0.0000 8.3333
什么时候应该看这个:
dat <- readLines('/blah/blah/blah.txt')
# create an index for the lines that are needed: Basic stats and Bands
ti <- rep(which(grepl('ROI:', dat)), each = 8) + 1:8
# create a grouping vector of the same length
grp <- rep(1:203, each = 8)
# filter the text with the index 'ti'
# and split into a list with grouping variable 'grp'
lst <- split(dat[ti], grp)
# loop over the list a read the text parts in as dataframes
lst <- lapply(lst, function(x) read.table(text = x, sep = '\t', header = TRUE, blank.lines.skip = TRUE))
# bind the dataframes in the list together in one data.frame
DF <- do.call(rbind, lst)
# change the name of the first column
names(DF)[1] <- 'ROI'
# get the correct ROI's for the ROI-column
DF$ROI <- sub('.*: (\\w+).*$', '\\1', dat[grepl('ROI: ', dat)])
DF
我想要一些帮助。
答案 0 :(得分:2)
对于此文件,您必须调整the approach I proposed here。对于链接的文本文件(test2.txt
),我建议采用以下方法:
dat <- readLines('test2.txt')
len <- sum(grepl('ROI:', dat))
ti <- rep(which(grepl('ROI:', dat)), each = 7) + 0:6
grp <- rep(1:len, each = 7)
lst <- split(dat[ti], grp)
lst <- lapply(lst, function(x) read.table(text = x, sep = '\t', skip = 1, header = TRUE, blank.lines.skip = TRUE))
names(lst) <- sub('.*: (\\w+).*$', '\\1', dat[grepl('ROI: ', dat)])
library(data.table)
DT <- rbindlist(lst, idcol = 'ROI')
setnames(DT, 2, 'Band')
给出了期望的结果:
> DT
ROI Band Min Max Mean Stdev
1: red_1 Band 1 0.013282 0.133982 0.061581 0.034069
2: red_1 Band 2 0.009866 0.112935 0.042688 0.026618
3: red_1 Band 3 0.008304 0.037059 0.018434 0.007515
4: red_1 Band 4 0.004726 0.040089 0.018490 0.009605
5: red_2 Band 1 0.032262 0.124425 0.078073 0.028031
---
1220: bcs_49 Band 4 0.002578 0.010578 0.006191 0.002285
1221: bcs_50 Band 1 0.032775 0.072881 0.051152 0.012593
1222: bcs_50 Band 2 0.020029 0.085993 0.042864 0.018628
1223: bcs_50 Band 3 0.012770 0.034367 0.023056 0.006581
1224: bcs_50 Band 4 0.005804 0.024798 0.014049 0.005744