-$ mlr --csv --rs lf cat example.csv
+$ mlr --csv cat example.csv
color,shape,flag,index,quantity,rate
yellow,triangle,1,11,43.6498,9.8870
red,square,1,15,79.2778,0.0130
@@ -200,7 +200,7 @@ purple,square,0,91,72.3735,8.2430
-$ mlr --icsv --irs lf --opprint cat example.csv
+$ mlr --icsv --opprint cat example.csv
color shape flag index quantity rate
yellow triangle 1 11 43.6498 9.8870
red square 1 15 79.2778 0.0130
@@ -222,7 +222,7 @@ header is included either way:
-$ mlr --csv --rs lf head -n 4 example.csv
+$ mlr --csv head -n 4 example.csv
color,shape,flag,index,quantity,rate
yellow,triangle,1,11,43.6498,9.8870
red,square,1,15,79.2778,0.0130
@@ -234,7 +234,7 @@ red,square,0,48,77.5542,7.4670
-$ mlr --csv --rs lf tail -n 4 example.csv
+$ mlr --csv tail -n 4 example.csv
color,shape,flag,index,quantity,rate
purple,triangle,0,65,80.1405,5.8240
yellow,circle,1,73,63.9785,4.2370
@@ -250,7 +250,7 @@ numerically descending on another field:
-$ mlr --icsv --irs lf --opprint sort -f shape -nr index example.csv
+$ mlr --icsv --opprint sort -f shape -nr index example.csv
color shape flag index quantity rate
yellow circle 1 87 63.5058 8.3350
yellow circle 1 73 63.9785 4.2370
@@ -271,7 +271,7 @@ yellow triangle 1 11 43.6498 9.8870
-$ mlr --icsv --irs lf --opprint cut -f flag,shape example.csv
+$ mlr --icsv --opprint cut -f flag,shape example.csv
shape flag
triangle 1
square 1
@@ -292,7 +292,7 @@ square 0
-$ mlr --icsv --irs lf --opprint cut -o -f flag,shape example.csv
+$ mlr --icsv --opprint cut -o -f flag,shape example.csv
flag shape
1 triangle
1 square
@@ -313,7 +313,7 @@ flag shape
-$ mlr --icsv --irs lf --opprint cut -x -f flag,shape example.csv
+$ mlr --icsv --opprint cut -x -f flag,shape example.csv
color index quantity rate
yellow 11 43.6498 9.8870
red 15 79.2778 0.0130
@@ -334,7 +334,7 @@ purple 91 72.3735 8.2430
-$ mlr --icsv --irs lf --opprint filter '$color == "red"' example.csv
+$ mlr --icsv --opprint filter '$color == "red"' example.csv
color shape flag index quantity rate
red square 1 15 79.2778 0.0130
red circle 1 16 13.8103 2.9010
@@ -346,7 +346,7 @@ red square 0 64 77.1991 9.5310
-$ mlr --icsv --irs lf --opprint filter '$color == "red" && $flag == 1' example.csv
+$ mlr --icsv --opprint filter '$color == "red" && $flag == 1' example.csv
color shape flag index quantity rate
red square 1 15 79.2778 0.0130
red circle 1 16 13.8103 2.9010
@@ -359,7 +359,7 @@ red circle 1 16 13.8103 2.9010
-$ mlr --icsv --irs lf --opprint put '$ratio = $quantity / $rate; $color_shape = $color . "_" . $shape' example.csv
+$ mlr --icsv --opprint put '$ratio = $quantity / $rate; $color_shape = $color . "_" . $shape' example.csv
color shape flag index quantity rate ratio color_shape
yellow triangle 1 11 43.6498 9.8870 4.414868 yellow_triangle
red square 1 15 79.2778 0.0130 6098.292308 red_square
@@ -380,7 +380,7 @@ purple square 0 91 72.3735 8.2430 8.779995 purple_square
-$ mlr --icsv --irs lf --ojson put '$ratio = $quantity/$rate; $shape = toupper($shape)' example.csv
+$ mlr --icsv --ojson put '$ratio = $quantity/$rate; $shape = toupper($shape)' example.csv
{ "color": "yellow", "shape": "TRIANGLE", "flag": 1, "index": 11, "quantity": 43.6498, "rate": 9.8870, "ratio": 4.414868 }
{ "color": "red", "shape": "SQUARE", "flag": 1, "index": 15, "quantity": 79.2778, "rate": 0.0130, "ratio": 6098.292308 }
{ "color": "red", "shape": "CIRCLE", "flag": 1, "index": 16, "quantity": 13.8103, "rate": 2.9010, "ratio": 4.760531 }
@@ -397,7 +397,7 @@ $ mlr --icsv --irs lf --ojson put '$ratio = $quantity/$rate; $shape = toupper($s
-$ mlr --icsv --irs lf --ojson --jvstack --jlistwrap tail -n 2 example.csv
+$ mlr --icsv --ojson --jvstack --jlistwrap tail -n 2 example.csv
[
{
"color": "yellow",
@@ -428,7 +428,7 @@ value of the shape field.
-$ mlr --icsv --irs lf --opprint sort -f shape -nr index then head -n 1 -g shape example.csv
+$ mlr --icsv --opprint sort -f shape -nr index then head -n 1 -g shape example.csv
color shape flag index quantity rate
yellow circle 1 87 63.5058 8.3350
purple square 0 91 72.3735 8.2430
@@ -444,7 +444,7 @@ have lots of columns:
-$ mlr --icsv --irs lf --oxtab --from example.csv stats1 -a p0,p10,p25,p50,p75,p90,p99,p100 -f rate
+$ mlr --icsv --oxtab --from example.csv stats1 -a p0,p10,p25,p50,p75,p90,p99,p100 -f rate
rate_p0 0.013000
rate_p10 2.901000
rate_p25 4.237000
@@ -459,7 +459,7 @@ rate_p100 9.887000
-$ mlr --icsv --irs lf --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape
+$ mlr --icsv --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape
shape quantity_count quantity_min quantity_mean quantity_max
triangle 3 43.649800 68.339767 81.229000
square 4 72.373500 76.601150 79.277800
@@ -470,7 +470,7 @@ circle 3 13.810300 47.098200 63.978500
-$ mlr --icsv --irs lf --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape,color
+$ mlr --icsv --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape,color
shape color quantity_count quantity_min quantity_mean quantity_max
triangle yellow 1 43.649800 43.649800 43.649800
square red 3 77.199100 78.010367 79.277800
@@ -488,7 +488,7 @@ per one or more field names:
-$ mlr --csv --rs lf --from example.csv put -q 'tee > $shape.".csv", $*'
+$ mlr --csv --from example.csv put -q 'tee > $shape.".csv", $*'
@@ -590,7 +590,7 @@ different output format.
I like to produce SQL-query output with header-column and tab delimiter:
this is CSV but with a tab instead of a comma, also known as TSV. Then I
-post-process with mlr --tsv --rs lf or mlr --tsvlite. This
+post-process with mlr --tsv or mlr --tsvlite. This
means I can do some (or all, or none) of my data processing within SQL queries,
and some (or none, or all) of my data processing using Miller — whichever
is most convenient for my needs at the moment.
diff --git a/doc/content-for-10-min.html b/doc/content-for-10-min.html
index fc4dab77a..ad1bd7caf 100644
--- a/doc/content-for-10-min.html
+++ b/doc/content-for-10-min.html
@@ -8,68 +8,68 @@ POKI_RUN_COMMAND{{cat example.csv}}HERE
mlr cat is like cat ...
-POKI_RUN_COMMAND{{mlr --csv --rs lf cat example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv cat example.csv}}HERE
... but it can also do format conversion (here, to pretty-printed tabular format):
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint cat example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint cat example.csv}}HERE
mlr head and mlr tail count records. The CSV
header is included either way:
-POKI_RUN_COMMAND{{mlr --csv --rs lf head -n 4 example.csv}}HERE
-POKI_RUN_COMMAND{{mlr --csv --rs lf tail -n 4 example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv head -n 4 example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv tail -n 4 example.csv}}HERE
Sort primarily alphabetically on one field, then secondarily
numerically descending on another field:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint sort -f shape -nr index example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint sort -f shape -nr index example.csv}}HERE
Use cut to retain only specified fields, in input-data order:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint cut -f flag,shape example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint cut -f flag,shape example.csv}}HERE
Use cut -o to retain only specified fields, in your specified order:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint cut -o -f flag,shape example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint cut -o -f flag,shape example.csv}}HERE
Use cut -x to omit specified fields:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint cut -x -f flag,shape example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint cut -x -f flag,shape example.csv}}HERE
Use filter to retain specified records:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint filter '$color == "red"' example.csv}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint filter '$color == "red" && $flag == 1' example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint filter '$color == "red"' example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint filter '$color == "red" && $flag == 1' example.csv}}HERE
Use put to add/replace fields which are computed from other fields:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint put '$ratio = $quantity / $rate; $color_shape = $color . "_" . $shape' example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint put '$ratio = $quantity / $rate; $color_shape = $color . "_" . $shape' example.csv}}HERE
JSON output:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --ojson put '$ratio = $quantity/$rate; $shape = toupper($shape)' example.csv}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --ojson --jvstack --jlistwrap tail -n 2 example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --ojson put '$ratio = $quantity/$rate; $shape = toupper($shape)' example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --ojson --jvstack --jlistwrap tail -n 2 example.csv}}HERE
Use then to pipe commands together. Also, the
-g option for many Miller commands is for group-by: here,
head -n 1 -g shape outputs the first record for each distinct
value of the shape field.
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint sort -f shape -nr index then head -n 1 -g shape example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint sort -f shape -nr index then head -n 1 -g shape example.csv}}HERE
Statistics can be computed with or without group-by field(s). Also, the first of these two
examples uses --oxtab output format which is a nice alternative to --opprint when you
have lots of columns:
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --oxtab --from example.csv stats1 -a p0,p10,p25,p50,p75,p90,p99,p100 -f rate}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape,color}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --oxtab --from example.csv stats1 -a p0,p10,p25,p50,p75,p90,p99,p100 -f rate}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint --from example.csv stats1 -a count,min,mean,max -f quantity -g shape,color}}HERE
Using tee within put, you can split your input data into separate files
per one or more field names:
-POKI_RUN_COMMAND{{mlr --csv --rs lf --from example.csv put -q 'tee > $shape.".csv", $*'}}HERE
+POKI_RUN_COMMAND{{mlr --csv --from example.csv put -q 'tee > $shape.".csv", $*'}}HERE
|
POKI_RUN_COMMAND{{cat circle.csv}}HERE
|
@@ -137,7 +137,7 @@ different output format.
I like to produce SQL-query output with header-column and tab delimiter:
this is CSV but with a tab instead of a comma, also known as TSV. Then I
-post-process with mlr --tsv --rs lf or mlr --tsvlite. This
+post-process with mlr --tsv or mlr --tsvlite. This
means I can do some (or all, or none) of my data processing within SQL queries,
and some (or none, or all) of my data processing using Miller — whichever
is most convenient for my needs at the moment.
diff --git a/doc/content-for-cookbook.html b/doc/content-for-cookbook.html
index 4359bda61..a4f0f3972 100644
--- a/doc/content-for-cookbook.html
+++ b/doc/content-for-cookbook.html
@@ -51,14 +51,14 @@ POKI_INCLUDE_AND_RUN_ESCAPED(data/rect.sh)HERE
Bulk rename of field names
POKI_RUN_COMMAND{{cat data/spaces.csv}}HERE
-POKI_RUN_COMMAND{{mlr --csv --rs lf rename -r -g ' ,_' data/spaces.csv}}HERE
-POKI_RUN_COMMAND{{mlr --csv --irs lf --opprint rename -r -g ' ,_' data/spaces.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv rename -r -g ' ,_' data/spaces.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv --opprint rename -r -g ' ,_' data/spaces.csv}}HERE
You can also do this with a for-loop but it puts the modified fields after the unmodified fields:
POKI_RUN_COMMAND{{cat data/bulk-rename-for-loop.mlr}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --opprint put -f data/bulk-rename-for-loop.mlr data/spaces.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint put -f data/bulk-rename-for-loop.mlr data/spaces.csv}}HERE
Headerless CSV on input or output
@@ -69,14 +69,14 @@ POKI_RUN_COMMAND{{cat data/headerless.csv}}HERE
You can use Miller to add a header: the --implicit-csv-header applies positionally indexed labels:
-POKI_RUN_COMMAND{{mlr --csv --rs lf --implicit-csv-header cat data/headerless.csv}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --irs lf --implicit-csv-header --opprint cat data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv --implicit-csv-header cat data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --implicit-csv-header --opprint cat data/headerless.csv}}HERE
Following that, you can rename the positionally indexed labels to names with meaning for your context.
For example:
-POKI_RUN_COMMAND{{mlr --csv --rs lf --implicit-csv-header label name,age,status data/headerless.csv}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --rs lf --implicit-csv-header --opprint label name,age,status data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv --implicit-csv-header label name,age,status data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --implicit-csv-header --opprint label name,age,status data/headerless.csv}}HERE
Likewise, if you need to produce CSV which is lacking its header, you can pipe Miller’s output
to the system command sed 1d, or you can use Miller’s --headerless-csv-output option:
@@ -209,7 +209,7 @@ POKI_INCLUDE_AND_RUN_ESCAPED(data/two-pass-record-numbers.sh)HERE
The idea is to retain records having the largest value of n in the
following data:
-POKI_RUN_COMMAND{{mlr --itsv --irs lf --opprint cat data/maxrows.tsv}}HERE
+POKI_RUN_COMMAND{{mlr --itsv --opprint cat data/maxrows.tsv}}HERE
Of course, the largest value of n isn’t known until after
all data have been read. Using an out-of-stream variable we can retain all
@@ -217,7 +217,7 @@ records as they are read, then filter them at the end:
POKI_RUN_COMMAND{{cat data/maxrows.mlr}}HERE
-POKI_RUN_COMMAND{{mlr --itsv --irs lf --opprint put -q -f data/maxrows.mlr data/maxrows.tsv}}HERE
+POKI_RUN_COMMAND{{mlr --itsv --opprint put -q -f data/maxrows.mlr data/maxrows.tsv}}HERE
Filtering paragraphs of text
diff --git a/doc/content-for-data-examples.html b/doc/content-for-data-examples.html
index 499581dcf..a45d56ad0 100644
--- a/doc/content-for-data-examples.html
+++ b/doc/content-for-data-examples.html
@@ -4,11 +4,6 @@ POKI_PUT_TOC_HERE
The flins.csv file is some sample data
obtained from https://support.spatialkey.com/spatialkey-sample-csv-data.
-Note: please use "mlr --csv --rs lf" for for native Un*x (linefeed-terminated) CSV files.
-(You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
-export MLR_CSV_DEFAULT_RS=lf or setenv MLR_CSV_DEFAULT_RS lf depending on
-which shell you use.)
-
Vertical-tabular format is good for a quick look at CSV data layout — seeing what columns you have to work with:
POKI_RUN_COMMAND{{head -n 2 data/flins.csv | mlr --icsv --oxtab cat}}HERE
A few simple queries:
diff --git a/doc/content-for-faq.html b/doc/content-for-faq.html
index 91286116e..ce71ca55b 100644
--- a/doc/content-for-faq.html
+++ b/doc/content-for-faq.html
@@ -1,17 +1,5 @@
POKI_PUT_TOC_HERE
-Number one FAQ
-
-
-Please use mlr --csv --rs lf for native Un*x (linefeed-terminated) CSV files.
-
-
-Instead of specifying --rs lf on each invocation, you can instead
-have MLR_CSV_DEFAULT_RS=lf in your shell environment: e.g. put
-export MLR_CSV_DEFAULT_RS=lf in your ~/.bashrc or
-~/.zshrc, or setenv MLR_CSV_DEFAULT_RS lf in your
-~/.cshrc, as a one-time setup step.
-
No output at all
Check the line-terminators of the data, e.g. with the command-line
@@ -64,18 +52,18 @@ POKI_RUN_COMMAND{{cat data/then-example.csv}}HERE
Next, run the first step of your command, omitting anything from the first then onward:
-POKI_RUN_COMMAND{{mlr --icsv --rs lf --opprint count-distinct -f Status,Payment_Type data/then-example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint count-distinct -f Status,Payment_Type data/then-example.csv}}HERE
After that, run it with the next then step included:
-POKI_RUN_COMMAND{{mlr --icsv --rs lf --opprint count-distinct -f Status,Payment_Type then sort -nr count data/then-example.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --opprint count-distinct -f Status,Payment_Type then sort -nr count data/then-example.csv}}HERE
Now if you use then to include another verb after that, the columns
Status, Payment_Type, and count will be the input to
that verb.
Note, by the way, that you’ll get the same results using pipes:
-POKI_RUN_COMMAND{{mlr --csv --rs lf count-distinct -f Status,Payment_Type data/then-example.csv | mlr --icsv --rs lf --opprint sort -nr count}}HERE
+POKI_RUN_COMMAND{{mlr --csv count-distinct -f Status,Payment_Type data/then-example.csv | mlr --icsv --opprint sort -nr count}}HERE
I assigned $9 and it’s not 9th
@@ -89,10 +77,10 @@ input data.
POKI_RUN_COMMAND{{echo x,y,z | mlr --dkvp cat}}HERE
POKI_RUN_COMMAND{{echo x,y,z | mlr --dkvp put '$6="a";$4="b";$55="cde"'}}HERE
POKI_RUN_COMMAND{{echo x,y,z | mlr --nidx cat}}HERE
-POKI_RUN_COMMAND{{echo x,y,z | mlr --csv --rs lf --implicit-csv-header cat}}HERE
+POKI_RUN_COMMAND{{echo x,y,z | mlr --csv --implicit-csv-header cat}}HERE
POKI_RUN_COMMAND{{echo x,y,z | mlr --dkvp rename 2,999}}HERE
POKI_RUN_COMMAND{{echo x,y,z | mlr --dkvp rename 2,newname}}HERE
-POKI_RUN_COMMAND{{echo x,y,z | mlr --csv --rs lf --implicit-csv-header reorder -f 3,1,2}}HERE
+POKI_RUN_COMMAND{{echo x,y,z | mlr --csv --implicit-csv-header reorder -f 3,1,2}}HERE
Why doesn’t mlr cut put fields in the order I want?
diff --git a/doc/content-for-file-formats.html b/doc/content-for-file-formats.html
index 763df75f5..a24f5791f 100644
--- a/doc/content-for-file-formats.html
+++ b/doc/content-for-file-formats.html
@@ -36,24 +36,6 @@ POKI_PUT_LINK_FOR_PAGE(reference.html)HERE.)
https://tools.ietf.org/html/rfc4180). This includes CRLF line-terminators by default, regardless
of platform.
-
-
-Please use mlr --csv --rs lf for native Un*x (linefeed-terminated) CSV files.
-
-
-Instead of specifying --rs lf on each invocation, you can instead
-have MLR_CSV_DEFAULT_RS=lf in your shell environment: e.g. put
-export MLR_CSV_DEFAULT_RS=lf in your ~/.bashrc or
-~/.zshrc, or setenv MLR_CSV_DEFAULT_RS lf in your
-~/.cshrc, as a one-time setup step.
-
-The RFC says, somewhat briefly, that “there may be a header
-line”. Miller’s --implicit-csv-header option allows you to
-read CSV data which lacks a header line, applying column labels 1,
-2, 3, etc. for you. You may also use Miller’s
-label to replace those numerical column names with labels of your
-choosing.
-
Here are the differences between CSV and CSV-lite:
diff --git a/doc/content-for-index.html b/doc/content-for-index.html
index e5be0ba73..90e295f49 100644
--- a/doc/content-for-index.html
+++ b/doc/content-for-index.html
@@ -88,7 +88,7 @@ machine, and expect it to work.
# Row filter
-% mlr --csv --rs lf filter '$status != "down" && $upsec >= 10000' *.csv
+% mlr --csv filter '$status != "down" && $upsec >= 10000' *.csv
diff --git a/doc/content-for-reference-verbs.html b/doc/content-for-reference-verbs.html
index 740104eab..322e63ee3 100644
--- a/doc/content-for-reference-verbs.html
+++ b/doc/content-for-reference-verbs.html
@@ -299,9 +299,9 @@ POKI_INCLUDE_ESCAPED(data/label-example.txt)HERE
Likewise, if you have CSV/CSV-lite input data which has somehow been bereft of its header line, you can re-add a header line using --implicit-csv-header and label:
POKI_RUN_COMMAND{{cat data/headerless.csv}}HERE
-POKI_RUN_COMMAND{{mlr --csv --rs lf --implicit-csv-header cat data/headerless.csv}}HERE
-POKI_RUN_COMMAND{{mlr --csv --rs lf --implicit-csv-header label name,age,status data/headerless.csv}}HERE
-POKI_RUN_COMMAND{{mlr --icsv --rs lf --implicit-csv-header --opprint label name,age,status data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv --implicit-csv-header cat data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --csv --implicit-csv-header label name,age,status data/headerless.csv}}HERE
+POKI_RUN_COMMAND{{mlr --icsv --implicit-csv-header --opprint label name,age,status data/headerless.csv}}HERE
least-frequent
diff --git a/doc/content-for-reference.html b/doc/content-for-reference.html
index 41eb32847..ed9ba76f7 100644
--- a/doc/content-for-reference.html
+++ b/doc/content-for-reference.html
@@ -288,7 +288,7 @@ streaming-data programs operate through pipes, each one can use a CPU. Rest
assured you get the same results either way.
The other reason to use then-chaining is for simplicity: you don’t
-have re-type formatting flags (e.g. --csv --rs lf --fs tab) at every
+have re-type formatting flags (e.g. --csv --fs tab) at every
pipeline stage.
diff --git a/doc/cookbook.html b/doc/cookbook.html
index 7e9e1fa67..c4acc10a3 100644
--- a/doc/cookbook.html
+++ b/doc/cookbook.html
@@ -322,7 +322,7 @@ a b c,def,g h i
-$ mlr --csv --rs lf rename -r -g ' ,_' data/spaces.csv
+$ mlr --csv rename -r -g ' ,_' data/spaces.csv
a_b_c,def,g_h_i
123,4567,890
2468,1357,3579
@@ -333,7 +333,7 @@ a_b_c,def,g_h_i
-$ mlr --csv --irs lf --opprint rename -r -g ' ,_' data/spaces.csv
+$ mlr --csv --opprint rename -r -g ' ,_' data/spaces.csv
a_b_c def g_h_i
123 4567 890
2468 1357 3579
@@ -362,7 +362,7 @@ for (oldk,v in $*) {
-$ mlr --icsv --irs lf --opprint put -f data/bulk-rename-for-loop.mlr data/spaces.csv
+$ mlr --icsv --opprint put -f data/bulk-rename-for-loop.mlr data/spaces.csv
def a_b_c g_h_i
4567 123 890
1357 2468 3579
@@ -393,7 +393,7 @@ Carol,45,present
-$ mlr --csv --rs lf --implicit-csv-header cat data/headerless.csv
+$ mlr --csv --implicit-csv-header cat data/headerless.csv
1,2,3
John,23,present
Fred,34,present
@@ -405,7 +405,7 @@ Carol,45,present
-$ mlr --icsv --irs lf --implicit-csv-header --opprint cat data/headerless.csv
+$ mlr --icsv --implicit-csv-header --opprint cat data/headerless.csv
1 2 3
John 23 present
Fred 34 present
@@ -421,7 +421,7 @@ For example:
-$ mlr --csv --rs lf --implicit-csv-header label name,age,status data/headerless.csv
+$ mlr --csv --implicit-csv-header label name,age,status data/headerless.csv
name,age,status
John,23,present
Fred,34,present
@@ -433,7 +433,7 @@ Carol,45,present
-$ mlr --icsv --rs lf --implicit-csv-header --opprint label name,age,status data/headerless.csv
+$ mlr --icsv --implicit-csv-header --opprint label name,age,status data/headerless.csv
name age status
John 23 present
Fred 34 present
@@ -607,33 +607,33 @@ $ mlr --ofmt '%.9lf' --opprint seqgen --start 1 --stop 28 then put '
' then put '$seconds=systime()' then step -a delta -f seconds then cut -x -f seconds
i o fcount seconds_delta
1 1 1 0
-2 2 3 0.000036001
-3 3 5 0.000014067
-4 5 9 0.000016928
-5 8 15 0.000023127
-6 13 25 0.000033855
-7 21 41 0.000049114
-8 34 67 0.000073910
-9 55 109 0.000118017
-10 89 177 0.000186920
-11 144 287 0.000299215
-12 233 465 0.000472784
-13 377 753 0.000731230
-14 610 1219 0.001174927
-15 987 1973 0.001888990
-16 1597 3193 0.003062963
-17 2584 5167 0.004909039
-18 4181 8361 0.009054899
-19 6765 13529 0.013993025
-20 10946 21891 0.022313118
-21 17711 35421 0.035612822
-22 28657 57313 0.054386139
-23 46368 92735 0.094619989
-24 75025 150049 0.137188911
-25 121393 242785 0.219310045
-26 196418 392835 0.372972965
-27 317811 635621 0.564725161
-28 514229 1028457 0.906754971
+2 2 3 0.000031948
+3 3 5 0.000013113
+4 5 9 0.000015974
+5 8 15 0.000021935
+6 13 25 0.000030994
+7 21 41 0.000045061
+8 34 67 0.000071049
+9 55 109 0.000113010
+10 89 177 0.000178814
+11 144 287 0.000289202
+12 233 465 0.000463009
+13 377 753 0.000734806
+14 610 1219 0.001182079
+15 987 1973 0.001869917
+16 1597 3193 0.003251076
+17 2584 5167 0.005389929
+18 4181 8361 0.008499146
+19 6765 13529 0.014052868
+20 10946 21891 0.024805069
+21 17711 35421 0.038400888
+22 28657 57313 0.061202049
+23 46368 92735 0.093353987
+24 75025 150049 0.147068024
+25 121393 242785 0.288206100
+26 196418 392835 0.395586014
+27 317811 635621 0.595448971
+28 514229 1028457 0.958051920
@@ -665,33 +665,33 @@ $ mlr --ofmt '%.9lf' --opprint seqgen --start 1 --stop 28 then put '
' then put '$seconds=systime()' then step -a delta -f seconds then cut -x -f seconds
i o fcount seconds_delta
1 1 1 0
-2 2 3 0.000036001
-3 3 3 0.000013113
-4 5 3 0.000010967
-5 8 3 0.000010967
-6 13 3 0.000010014
-7 21 3 0.000010014
+2 2 3 0.000037193
+3 3 3 0.000012875
+4 5 3 0.000011921
+5 8 3 0.000011206
+6 13 3 0.000010967
+7 21 3 0.000010967
8 34 3 0.000010967
-9 55 3 0.000010967
-10 89 3 0.000010014
-11 144 3 0.000010014
-12 233 3 0.000014067
+9 55 3 0.000010014
+10 89 3 0.000013113
+11 144 3 0.000010967
+12 233 3 0.000015020
13 377 3 0.000010967
14 610 3 0.000010014
15 987 3 0.000010967
16 1597 3 0.000010014
-17 2584 3 0.000010014
+17 2584 3 0.000010967
18 4181 3 0.000010014
19 6765 3 0.000010014
-20 10946 3 0.000010014
-21 17711 3 0.000011921
+20 10946 3 0.000010967
+21 17711 3 0.000010014
22 28657 3 0.000010014
-23 46368 3 0.000012159
-24 75025 3 0.000010967
+23 46368 3 0.000012875
+24 75025 3 0.000012159
25 121393 3 0.000010014
-26 196418 3 0.000010014
-27 317811 3 0.000010967
-28 514229 3 0.000010014
+26 196418 3 0.000010967
+27 317811 3 0.000010014
+28 514229 3 0.000010967
@@ -738,6 +738,16 @@ $ mlr --from data/miss-date.csv --icsv \
then put '$datestamp = strptime($date, "%Y-%m-%d")' \
then step -a delta -f datestamp \
| head
+n=1,date=2012-03-05,qoh=10055,datestamp=1330905600,datestamp_delta=0
+n=2,date=2012-03-06,qoh=10486,datestamp=1330992000,datestamp_delta=86400
+n=3,date=2012-03-07,qoh=10430,datestamp=1331078400,datestamp_delta=86400
+n=4,date=2012-03-08,qoh=10674,datestamp=1331164800,datestamp_delta=86400
+n=5,date=2012-03-09,qoh=10880,datestamp=1331251200,datestamp_delta=86400
+n=6,date=2012-03-10,qoh=10718,datestamp=1331337600,datestamp_delta=86400
+n=7,date=2012-03-11,qoh=10795,datestamp=1331424000,datestamp_delta=86400
+n=8,date=2012-03-12,qoh=11043,datestamp=1331510400,datestamp_delta=86400
+n=9,date=2012-03-13,qoh=11177,datestamp=1331596800,datestamp_delta=86400
+n=10,date=2012-03-14,qoh=11498,datestamp=1331683200,datestamp_delta=86400
@@ -752,6 +762,8 @@ $ mlr --from data/miss-date.csv --icsv \
then put '$datestamp = strptime($date, "%Y-%m-%d")' \
then step -a delta -f datestamp \
then filter '$datestamp_delta != 86400 && $n != 1'
+n=774,date=2014-04-19,qoh=130140,datestamp=1397865600,datestamp_delta=259200
+n=1119,date=2015-03-31,qoh=181625,datestamp=1427760000,datestamp_delta=172800
@@ -994,7 +1006,7 @@ following data:
-$ mlr --itsv --irs lf --opprint cat data/maxrows.tsv
+$ mlr --itsv --opprint cat data/maxrows.tsv
a b n score
purple red 5 0.743231
blue purple 2 0.093710
@@ -1062,7 +1074,7 @@ end {
-$ mlr --itsv --irs lf --opprint put -q -f data/maxrows.mlr data/maxrows.tsv
+$ mlr --itsv --opprint put -q -f data/maxrows.mlr data/maxrows.tsv
a b n score
purple red 5 0.743231
purple red 5 0.389055
diff --git a/doc/data-examples.html b/doc/data-examples.html
index 44b16a209..c6c435080 100644
--- a/doc/data-examples.html
+++ b/doc/data-examples.html
@@ -152,11 +152,6 @@ Miller commands were run with pretty-print-tabular output format.
The flins.csv file is some sample data
obtained from https://support.spatialkey.com/spatialkey-sample-csv-data.
-Note: please use "mlr --csv --rs lf" for for native Un*x (linefeed-terminated) CSV files.
-(You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
-export MLR_CSV_DEFAULT_RS=lf or setenv MLR_CSV_DEFAULT_RS lf depending on
-which shell you use.)
-
Vertical-tabular format is good for a quick look at CSV data layout — seeing what columns you have to work with:
diff --git a/doc/faq.html b/doc/faq.html
index 50680d1ba..4bde4c944 100644
--- a/doc/faq.html
+++ b/doc/faq.html
@@ -143,7 +143,6 @@ Miller commands were run with pretty-print-tabular output format.
- Number one FAQ
-
-
-Please use mlr --csv --rs lf for native Un*x (linefeed-terminated) CSV files.
-
-
- Instead of specifying --rs lf on each invocation, you can instead
-have MLR_CSV_DEFAULT_RS=lf in your shell environment: e.g. put
- export MLR_CSV_DEFAULT_RS=lf in your ~/.bashrc or
- ~/.zshrc, or setenv MLR_CSV_DEFAULT_RS lf in your
- ~/.cshrc, as a one-time setup step.
-
No output at all
Check the line-terminators of the data, e.g. with the command-line
@@ -303,7 +290,7 @@ Next, run the first step of your command, omitting anything from the first t
-$ mlr --icsv --rs lf --opprint count-distinct -f Status,Payment_Type data/then-example.csv
+$ mlr --icsv --opprint count-distinct -f Status,Payment_Type data/then-example.csv
Status Payment_Type count
paid cash 2
pending debit 1
@@ -318,7 +305,7 @@ After that, run it with the next then step included:
-$ mlr --icsv --rs lf --opprint count-distinct -f Status,Payment_Type then sort -nr count data/then-example.csv
+$ mlr --icsv --opprint count-distinct -f Status,Payment_Type then sort -nr count data/then-example.csv
Status Payment_Type count
paid cash 2
pending debit 1
@@ -336,7 +323,7 @@ that verb.
-$ mlr --csv --rs lf count-distinct -f Status,Payment_Type data/then-example.csv | mlr --icsv --rs lf --opprint sort -nr count
+$ mlr --csv count-distinct -f Status,Payment_Type data/then-example.csv | mlr --icsv --opprint sort -nr count
Status Payment_Type count
paid cash 2
pending debit 1
@@ -382,7 +369,7 @@ x,y,z
-$ echo x,y,z | mlr --csv --rs lf --implicit-csv-header cat
+$ echo x,y,z | mlr --csv --implicit-csv-header cat
1,2,3
x,y,z
@@ -407,7 +394,7 @@ $ echo x,y,z | mlr --dkvp rename 2,newname
-$ echo x,y,z | mlr --csv --rs lf --implicit-csv-header reorder -f 3,1,2
+$ echo x,y,z | mlr --csv --implicit-csv-header reorder -f 3,1,2
3,1,2
z,x,y
diff --git a/doc/file-formats.html b/doc/file-formats.html
index 1f6ff0b1f..89a24b35d 100644
--- a/doc/file-formats.html
+++ b/doc/file-formats.html
@@ -261,24 +261,6 @@ CSV, use --ifs tab --ofs comma, etc. (See also
https://tools.ietf.org/html/rfc4180). This includes CRLF line-terminators by default, regardless
of platform.
-
-
-Please use mlr --csv --rs lf for native Un*x (linefeed-terminated) CSV files.
-
-
- Instead of specifying --rs lf on each invocation, you can instead
-have MLR_CSV_DEFAULT_RS=lf in your shell environment: e.g. put
- export MLR_CSV_DEFAULT_RS=lf in your ~/.bashrc or
- ~/.zshrc, or setenv MLR_CSV_DEFAULT_RS lf in your
- ~/.cshrc, as a one-time setup step.
-
- The RFC says, somewhat briefly, that “there may be a header
-line”. Miller’s --implicit-csv-header option allows you to
-read CSV data which lacks a header line, applying column labels 1,
- 2, 3, etc. for you. You may also use Miller’s
- label to replace those numerical column names with labels of your
-choosing.
-
Here are the differences between CSV and CSV-lite:
diff --git a/doc/manpage.txt b/doc/manpage.txt
index e43b5820e..32540c7ff 100644
--- a/doc/manpage.txt
+++ b/doc/manpage.txt
@@ -175,7 +175,8 @@ OPTIONS
--jvstack Put one key-value pair per line for JSON
output.
--jlistwrap Wrap JSON output in outermost [ ].
- --jquoteall Quote map values in JSON output, even if they're
+ --jknquoteint Do not quote non-string map keys in JSON output.
+ --jvquoteall Quote map values in JSON output, even if they're
numeric.
--jflatsep {string} Separator for flattening multi-level JSON keys,
e.g. '{"a":{"b":3}}' becomes a:b => 3 for
@@ -186,11 +187,6 @@ OPTIONS
Examples: --csv for CSV-formatted input and output; --idkvp --opprint for
DKVP-formatted input and pretty-printed output.
- PLEASE USE "mlr --csv --rs lf" FOR NATIVE UN*X (LINEFEED-TERMINATED) CSV FILES.
- You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
- "export MLR_CSV_DEFAULT_RS=lf" or "setenv MLR_CSV_DEFAULT_RS lf" depending on
- which shell you use.
-
FORMAT-CONVERSION KEYSTROKE-SAVERS
As keystroke-savers for format-conversion you may use the following:
--c2t --c2d --c2n --c2j --c2x --c2p --c2m
@@ -241,11 +237,6 @@ OPTIONS
platform-native text data. In particular, this means LF line-terminators
by default on Linux/OSX. You can use "--dkvp --rs crlf" for
CRLF-terminated DKVP files, and so on.
- * CSV is intended to handle RFC-4180-compliant data. In particular, this means
- it uses CRLF line-terminators by default. You can use "--csv --rs lf" for
- Linux-native CSV files. You can also have "MLR_CSV_DEFAULT_RS=lf" in your
- shell environment, e.g. "export MLR_CSV_DEFAULT_RS=lf" or "setenv
- MLR_CSV_DEFAULT_RS lf" depending on which shell you use.
* TSV is simply CSV using tab as field separator ("--fs tab").
* FS/PS are ignored for markdown format; RS is used.
* All RS/FS/PS options are ignored for JSON format: JSON doesn't allow
@@ -258,14 +249,14 @@ OPTIONS
cr crcr newline lf lflf crlf crlfcrlf tab space comma pipe slash colon semicolon equals
* Default separators by format:
File format RS FS PS
- dkvp \n , =
- json (N/A) (N/A) (N/A)
- nidx \n space (N/A)
- csv \r\n , (N/A)
- csvlite \n , (N/A)
- markdown \n (N/A) (N/A)
- pprint \n space (N/A)
- xtab (N/A) \n space
+ dkvp auto , =
+ json auto (N/A) (N/A)
+ nidx auto space (N/A)
+ csv auto , (N/A)
+ csvlite auto , (N/A)
+ markdown auto (N/A) (N/A)
+ pprint auto space (N/A)
+ xtab (N/A) auto space
CSV-SPECIFIC OPTIONS
--implicit-csv-header Use 1,2,3,... as field labels, rather than from line 1
@@ -1852,4 +1843,4 @@ SEE ALSO
- 2017-01-11 MILLER(1)
+ 2017-02-02 MILLER(1)
diff --git a/doc/mkman.rb b/doc/mkman.rb
index 7001208e6..49be6e510 100755
--- a/doc/mkman.rb
+++ b/doc/mkman.rb
@@ -14,7 +14,6 @@
# ----------------------------------------------------------------
def main
- ENV['MLR_CSV_DEFAULT_RS'] = "" # In case set in user's shell
print make_top
print make_section('NAME', [
diff --git a/doc/mlr.1 b/doc/mlr.1
index 82ac1060f..0947aa9e8 100644
--- a/doc/mlr.1
+++ b/doc/mlr.1
@@ -2,12 +2,12 @@
.\" Title: mlr
.\" Author: [see the "AUTHOR" section]
.\" Generator: ./mkman.rb
-.\" Date: 2017-01-11
+.\" Date: 2017-02-02
.\" Manual: \ \&
.\" Source: \ \&
.\" Language: English
.\"
-.TH "MILLER" "1" "2017-01-11" "\ \&" "\ \&"
+.TH "MILLER" "1" "2017-02-02" "\ \&" "\ \&"
.\" -----------------------------------------------------------------
.\" * Portability definitions
.\" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -230,7 +230,8 @@ Please use "mlr --help-all-keywords" or "mlr -k" for help on all keywords.
--jvstack Put one key-value pair per line for JSON
output.
--jlistwrap Wrap JSON output in outermost [ ].
- --jquoteall Quote map values in JSON output, even if they're
+ --jknquoteint Do not quote non-string map keys in JSON output.
+ --jvquoteall Quote map values in JSON output, even if they're
numeric.
--jflatsep {string} Separator for flattening multi-level JSON keys,
e.g. '{"a":{"b":3}}' becomes a:b => 3 for
@@ -240,11 +241,6 @@ Please use "mlr --help-all-keywords" or "mlr -k" for help on all keywords.
Examples: --csv for CSV-formatted input and output; --idkvp --opprint for
DKVP-formatted input and pretty-printed output.
-
- PLEASE USE "mlr --csv --rs lf" FOR NATIVE UN*X (LINEFEED-TERMINATED) CSV FILES.
- You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
- "export MLR_CSV_DEFAULT_RS=lf" or "setenv MLR_CSV_DEFAULT_RS lf" depending on
- which shell you use.
.fi
.if n \{\
.RE
@@ -314,11 +310,6 @@ is available for output only.
platform-native text data. In particular, this means LF line-terminators
by default on Linux/OSX. You can use "--dkvp --rs crlf" for
CRLF-terminated DKVP files, and so on.
- * CSV is intended to handle RFC-4180-compliant data. In particular, this means
- it uses CRLF line-terminators by default. You can use "--csv --rs lf" for
- Linux-native CSV files. You can also have "MLR_CSV_DEFAULT_RS=lf" in your
- shell environment, e.g. "export MLR_CSV_DEFAULT_RS=lf" or "setenv
- MLR_CSV_DEFAULT_RS lf" depending on which shell you use.
* TSV is simply CSV using tab as field separator ("--fs tab").
* FS/PS are ignored for markdown format; RS is used.
* All RS/FS/PS options are ignored for JSON format: JSON doesn't allow
@@ -331,14 +322,14 @@ is available for output only.
cr crcr newline lf lflf crlf crlfcrlf tab space comma pipe slash colon semicolon equals
* Default separators by format:
File format RS FS PS
- dkvp \en , =
- json (N/A) (N/A) (N/A)
- nidx \en space (N/A)
- csv \er\en , (N/A)
- csvlite \en , (N/A)
- markdown \en (N/A) (N/A)
- pprint \en space (N/A)
- xtab (N/A) \en space
+ dkvp auto , =
+ json auto (N/A) (N/A)
+ nidx auto space (N/A)
+ csv auto , (N/A)
+ csvlite auto , (N/A)
+ markdown auto (N/A) (N/A)
+ pprint auto space (N/A)
+ xtab (N/A) auto space
.fi
.if n \{\
.RE
diff --git a/doc/reference-verbs.html b/doc/reference-verbs.html
index 5f82f1350..ea171e052 100644
--- a/doc/reference-verbs.html
+++ b/doc/reference-verbs.html
@@ -1337,7 +1337,7 @@ Carol,45,present
-$ mlr --csv --rs lf --implicit-csv-header cat data/headerless.csv
+$ mlr --csv --implicit-csv-header cat data/headerless.csv
1,2,3
John,23,present
Fred,34,present
@@ -1349,7 +1349,7 @@ Carol,45,present
-$ mlr --csv --rs lf --implicit-csv-header label name,age,status data/headerless.csv
+$ mlr --csv --implicit-csv-header label name,age,status data/headerless.csv
name,age,status
John,23,present
Fred,34,present
@@ -1361,7 +1361,7 @@ Carol,45,present
-$ mlr --icsv --rs lf --implicit-csv-header --opprint label name,age,status data/headerless.csv
+$ mlr --icsv --implicit-csv-header --opprint label name,age,status data/headerless.csv
name age status
John 23 present
Fred 34 present
diff --git a/doc/reference.html b/doc/reference.html
index fcb26fd0c..fce7923c7 100644
--- a/doc/reference.html
+++ b/doc/reference.html
@@ -424,7 +424,8 @@ Data-format options, for input, output, or both:
--jvstack Put one key-value pair per line for JSON
output.
--jlistwrap Wrap JSON output in outermost [ ].
- --jquoteall Quote map values in JSON output, even if they're
+ --jknquoteint Do not quote non-string map keys in JSON output.
+ --jvquoteall Quote map values in JSON output, even if they're
numeric.
--jflatsep {string} Separator for flattening multi-level JSON keys,
e.g. '{"a":{"b":3}}' becomes a:b => 3 for
@@ -435,11 +436,6 @@ Data-format options, for input, output, or both:
Examples: --csv for CSV-formatted input and output; --idkvp --opprint for
DKVP-formatted input and pretty-printed output.
- PLEASE USE "mlr --csv --rs lf" FOR NATIVE UN*X (LINEFEED-TERMINATED) CSV FILES.
- You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
- "export MLR_CSV_DEFAULT_RS=lf" or "setenv MLR_CSV_DEFAULT_RS lf" depending on
- which shell you use.
-
Format-conversion keystroke-saver options, for input, output, or both:
As keystroke-savers for format-conversion you may use the following:
--c2t --c2d --c2n --c2j --c2x --c2p --c2m
@@ -490,11 +486,6 @@ Separator options, for input, output, or both:
platform-native text data. In particular, this means LF line-terminators
by default on Linux/OSX. You can use "--dkvp --rs crlf" for
CRLF-terminated DKVP files, and so on.
- * CSV is intended to handle RFC-4180-compliant data. In particular, this means
- it uses CRLF line-terminators by default. You can use "--csv --rs lf" for
- Linux-native CSV files. You can also have "MLR_CSV_DEFAULT_RS=lf" in your
- shell environment, e.g. "export MLR_CSV_DEFAULT_RS=lf" or "setenv
- MLR_CSV_DEFAULT_RS lf" depending on which shell you use.
* TSV is simply CSV using tab as field separator ("--fs tab").
* FS/PS are ignored for markdown format; RS is used.
* All RS/FS/PS options are ignored for JSON format: JSON doesn't allow
@@ -507,14 +498,14 @@ Separator options, for input, output, or both:
cr crcr newline lf lflf crlf crlfcrlf tab space comma pipe slash colon semicolon equals
* Default separators by format:
File format RS FS PS
- dkvp \n , =
- json (N/A) (N/A) (N/A)
- nidx \n space (N/A)
- csv \r\n , (N/A)
- csvlite \n , (N/A)
- markdown \n (N/A) (N/A)
- pprint \n space (N/A)
- xtab (N/A) \n space
+ dkvp auto , =
+ json auto (N/A) (N/A)
+ nidx auto space (N/A)
+ csv auto , (N/A)
+ csvlite auto , (N/A)
+ markdown auto (N/A) (N/A)
+ pprint auto space (N/A)
+ xtab (N/A) auto space
Relevant to CSV/CSV-lite input only:
--implicit-csv-header Use 1,2,3,... as field labels, rather than from line 1
@@ -863,7 +854,7 @@ streaming-data programs operate through pipes, each one can use a CPU. Rest
assured you get the same results either way.
The other reason to use then-chaining is for simplicity: you don’t
-have re-type formatting flags (e.g. --csv --rs lf --fs tab) at every
+have re-type formatting flags (e.g. --csv --fs tab) at every
pipeline stage.
|