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78
docs/src/manpage.md
View file

@ -50,7 +50,7 @@ DESCRIPTION
insertion-ordered hash map. This encompasses a variety of data
formats, including but not limited to the familiar CSV, TSV, and JSON.
(Miller can handle positionally-indexed data as a special case.) This
manpage documents mlr 6.3.0.
manpage documents mlr 6.3.0-dev.
EXAMPLES
mlr --icsv --opprint cat example.csv
@ -192,11 +192,11 @@ VERB LIST
altkv bar bootstrap cat check clean-whitespace count-distinct count
count-similar cut decimate fill-down fill-empty filter flatten format-values
fraction gap grep group-by group-like having-fields head histogram json-parse
json-stringify join label latin1-to-utf8 utf8-to-latin1 least-frequent
merge-fields most-frequent nest nothing put regularize remove-empty-columns
rename reorder repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle
skip-trivial-records sort sort-within-records split stats1 stats2 step tac
tail tee template top unflatten uniq unsparsify
json-stringify join label latin1-to-utf8 least-frequent merge-fields
most-frequent nest nothing put regularize remove-empty-columns rename reorder
repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle skip-trivial-records
sort sort-within-records split stats1 stats2 step summary tac tail tee
template top utf8-to-latin1 unflatten uniq unsparsify
FUNCTION LIST
abs acos acosh any append apply arrayify asin asinh asserting_absent
@ -1327,13 +1327,6 @@ VERBS
Options:
-h|--help Show this message.
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
least-frequent
Usage: mlr least-frequent [options]
Shows the least frequently occurring distinct values for specified field names.
@ -1352,6 +1345,8 @@ VERBS
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1363,6 +1358,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
@ -1818,6 +1815,8 @@ VERBS
median This is the same as p50
p10 p25.2 p50 p98 p100 etc.
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1829,6 +1828,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics
--fr {regex} Regex for value-field names on which to compute statistics
@ -1939,6 +1940,48 @@ VERBS
https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
for more information on EWMA.
summary
Usage: mlr summary [options]
Show summary statistics about the input data.
All summarizers:
field_type string, int, etc. -- if a column has mixed types, all encountered types are printed
count +1 for every instance of the field across all records in the input record stream
null_count count of field values either empty string or JSON null
distinct_count count of distinct values for the field
mode most-frequently-occurring value for the field
sum sum of field values
mean mean of the field values
stddev standard deviation of the field values
var variance of the field values
skewness skewness of the field values
minlen length of shortest string representation for the field
maxlen length of longest string representation for the field
min minimum field value
p25 first-quartile field value
median median field value
p75 third-quartile field value
max maximum field value
iqr interquartile range: p75 - p25
lof lower outer fence: p25 - 3.0 * iqr
lif lower inner fence: p25 - 1.5 * iqr
uif upper inner fence: p75 + 1.5 * iqr
uof upper outer fence: p75 + 3.0 * iqr
Default summarizers:
field_type count mean min median max null_count distinct_count
Notes:
* min, p25, median, p75, and max work for strings as well as numbers
* Distinct-counts are computed on string representations -- so 4.1 and 4.10 are counted as distinct here.
* If the mode is not unique in the input data, the first-encountered value is reported as the mode.
Options:
-a {mean,sum,etc.} Use only the specified summarizers.
-x {mean,sum,etc.} Use all summarizers, except the specified ones.
--all Use all available summarizers.
-h|--help Show this message.
tac
Usage: mlr tac [options]
Prints records in reverse order from the order in which they were encountered.
@ -1998,6 +2041,13 @@ VERBS
from -f, fields from -g, and the top-index field are emitted. For more information
please see https://miller.readthedocs.io/en/latest/reference-verbs#top
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
unflatten
Usage: mlr unflatten [options]
Reverses flatten. Example: field with name 'a.b.c' and value 4
@ -3222,5 +3272,5 @@ SEE ALSO
2022-07-07 MILLER(1)
2022-08-01 MILLER(1)
</pre>

78
docs/src/manpage.txt
View file

@ -29,7 +29,7 @@ DESCRIPTION
insertion-ordered hash map. This encompasses a variety of data
formats, including but not limited to the familiar CSV, TSV, and JSON.
(Miller can handle positionally-indexed data as a special case.) This
manpage documents mlr 6.3.0.
manpage documents mlr 6.3.0-dev.
EXAMPLES
mlr --icsv --opprint cat example.csv
@ -171,11 +171,11 @@ VERB LIST
altkv bar bootstrap cat check clean-whitespace count-distinct count
count-similar cut decimate fill-down fill-empty filter flatten format-values
fraction gap grep group-by group-like having-fields head histogram json-parse
json-stringify join label latin1-to-utf8 utf8-to-latin1 least-frequent
merge-fields most-frequent nest nothing put regularize remove-empty-columns
rename reorder repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle
skip-trivial-records sort sort-within-records split stats1 stats2 step tac
tail tee template top unflatten uniq unsparsify
json-stringify join label latin1-to-utf8 least-frequent merge-fields
most-frequent nest nothing put regularize remove-empty-columns rename reorder
repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle skip-trivial-records
sort sort-within-records split stats1 stats2 step summary tac tail tee
template top utf8-to-latin1 unflatten uniq unsparsify
FUNCTION LIST
abs acos acosh any append apply arrayify asin asinh asserting_absent
@ -1306,13 +1306,6 @@ VERBS
Options:
-h|--help Show this message.
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
least-frequent
Usage: mlr least-frequent [options]
Shows the least frequently occurring distinct values for specified field names.
@ -1331,6 +1324,8 @@ VERBS
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1342,6 +1337,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
@ -1797,6 +1794,8 @@ VERBS
median This is the same as p50
p10 p25.2 p50 p98 p100 etc.
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1808,6 +1807,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics
--fr {regex} Regex for value-field names on which to compute statistics
@ -1918,6 +1919,48 @@ VERBS
https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
for more information on EWMA.
summary
Usage: mlr summary [options]
Show summary statistics about the input data.
All summarizers:
field_type string, int, etc. -- if a column has mixed types, all encountered types are printed
count +1 for every instance of the field across all records in the input record stream
null_count count of field values either empty string or JSON null
distinct_count count of distinct values for the field
mode most-frequently-occurring value for the field
sum sum of field values
mean mean of the field values
stddev standard deviation of the field values
var variance of the field values
skewness skewness of the field values
minlen length of shortest string representation for the field
maxlen length of longest string representation for the field
min minimum field value
p25 first-quartile field value
median median field value
p75 third-quartile field value
max maximum field value
iqr interquartile range: p75 - p25
lof lower outer fence: p25 - 3.0 * iqr
lif lower inner fence: p25 - 1.5 * iqr
uif upper inner fence: p75 + 1.5 * iqr
uof upper outer fence: p75 + 3.0 * iqr
Default summarizers:
field_type count mean min median max null_count distinct_count
Notes:
* min, p25, median, p75, and max work for strings as well as numbers
* Distinct-counts are computed on string representations -- so 4.1 and 4.10 are counted as distinct here.
* If the mode is not unique in the input data, the first-encountered value is reported as the mode.
Options:
-a {mean,sum,etc.} Use only the specified summarizers.
-x {mean,sum,etc.} Use all summarizers, except the specified ones.
--all Use all available summarizers.
-h|--help Show this message.
tac
Usage: mlr tac [options]
Prints records in reverse order from the order in which they were encountered.
@ -1977,6 +2020,13 @@ VERBS
from -f, fields from -g, and the top-index field are emitted. For more information
please see https://miller.readthedocs.io/en/latest/reference-verbs#top
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
unflatten
Usage: mlr unflatten [options]
Reverses flatten. Example: field with name 'a.b.c' and value 4
@ -3201,4 +3251,4 @@ SEE ALSO
2022-07-07 MILLER(1)
2022-08-01 MILLER(1)

4
docs/src/record-heterogeneity.md
View file

@ -127,8 +127,8 @@ If you `mlr --csv cat` this, you'll get an error message:
<b>mlr --csv cat data/het/ragged.csv</b>
</pre>
<pre class="pre-non-highlight-in-pair">
mlr : mlr: CSV header/data length mismatch 3 != 2 at filename data/het/ragged.csv row 3.
mlr: mlr: CSV header/data length mismatch 3 != 2 at filename data/het/ragged.csv row 3.
.
</pre>
There are two kinds of raggedness here. Since CSVs form records by zipping the

2
docs/src/reference-dsl-time.md
View file

@ -136,7 +136,7 @@ Regardless, if you specify an invalid timezone, you'll be clearly notified:
<b>mlr --from example.csv --tz This/Is/A/Typo cat</b>
</pre>
<pre class="pre-non-highlight-in-pair">
mlr: unknown time zone This/Is/A/Typo
mlr : unknown time zone This/Is/A/Typo
</pre>
<pre class="pre-highlight-in-pair">

78
man/manpage.txt
View file

@ -29,7 +29,7 @@ DESCRIPTION
insertion-ordered hash map. This encompasses a variety of data
formats, including but not limited to the familiar CSV, TSV, and JSON.
(Miller can handle positionally-indexed data as a special case.) This
manpage documents mlr 6.3.0.
manpage documents mlr 6.3.0-dev.
EXAMPLES
mlr --icsv --opprint cat example.csv
@ -171,11 +171,11 @@ VERB LIST
altkv bar bootstrap cat check clean-whitespace count-distinct count
count-similar cut decimate fill-down fill-empty filter flatten format-values
fraction gap grep group-by group-like having-fields head histogram json-parse
json-stringify join label latin1-to-utf8 utf8-to-latin1 least-frequent
merge-fields most-frequent nest nothing put regularize remove-empty-columns
rename reorder repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle
skip-trivial-records sort sort-within-records split stats1 stats2 step tac
tail tee template top unflatten uniq unsparsify
json-stringify join label latin1-to-utf8 least-frequent merge-fields
most-frequent nest nothing put regularize remove-empty-columns rename reorder
repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle skip-trivial-records
sort sort-within-records split stats1 stats2 step summary tac tail tee
template top utf8-to-latin1 unflatten uniq unsparsify
FUNCTION LIST
abs acos acosh any append apply arrayify asin asinh asserting_absent
@ -1306,13 +1306,6 @@ VERBS
Options:
-h|--help Show this message.
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
least-frequent
Usage: mlr least-frequent [options]
Shows the least frequently occurring distinct values for specified field names.
@ -1331,6 +1324,8 @@ VERBS
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1342,6 +1337,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
@ -1797,6 +1794,8 @@ VERBS
median This is the same as p50
p10 p25.2 p50 p98 p100 etc.
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1808,6 +1807,8 @@ VERBS
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics
--fr {regex} Regex for value-field names on which to compute statistics
@ -1918,6 +1919,48 @@ VERBS
https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
for more information on EWMA.
summary
Usage: mlr summary [options]
Show summary statistics about the input data.
All summarizers:
field_type string, int, etc. -- if a column has mixed types, all encountered types are printed
count +1 for every instance of the field across all records in the input record stream
null_count count of field values either empty string or JSON null
distinct_count count of distinct values for the field
mode most-frequently-occurring value for the field
sum sum of field values
mean mean of the field values
stddev standard deviation of the field values
var variance of the field values
skewness skewness of the field values
minlen length of shortest string representation for the field
maxlen length of longest string representation for the field
min minimum field value
p25 first-quartile field value
median median field value
p75 third-quartile field value
max maximum field value
iqr interquartile range: p75 - p25
lof lower outer fence: p25 - 3.0 * iqr
lif lower inner fence: p25 - 1.5 * iqr
uif upper inner fence: p75 + 1.5 * iqr
uof upper outer fence: p75 + 3.0 * iqr
Default summarizers:
field_type count mean min median max null_count distinct_count
Notes:
* min, p25, median, p75, and max work for strings as well as numbers
* Distinct-counts are computed on string representations -- so 4.1 and 4.10 are counted as distinct here.
* If the mode is not unique in the input data, the first-encountered value is reported as the mode.
Options:
-a {mean,sum,etc.} Use only the specified summarizers.
-x {mean,sum,etc.} Use all summarizers, except the specified ones.
--all Use all available summarizers.
-h|--help Show this message.
tac
Usage: mlr tac [options]
Prints records in reverse order from the order in which they were encountered.
@ -1977,6 +2020,13 @@ VERBS
from -f, fields from -g, and the top-index field are emitted. For more information
please see https://miller.readthedocs.io/en/latest/reference-verbs#top
utf8-to-latin1
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
unflatten
Usage: mlr unflatten [options]
Reverses flatten. Example: field with name 'a.b.c' and value 4
@ -3201,4 +3251,4 @@ SEE ALSO
2022-07-07 MILLER(1)
2022-08-01 MILLER(1)

98
man/mlr.1
View file

@ -2,12 +2,12 @@
.\" Title: mlr
.\" Author: [see the "AUTHOR" section]
.\" Generator: ./mkman.rb
.\" Date: 2022-07-07
.\" Date: 2022-08-01
.\" Manual: \ \&
.\" Source: \ \&
.\" Language: English
.\"
.TH "MILLER" "1" "2022-07-07" "\ \&" "\ \&"
.TH "MILLER" "1" "2022-08-01" "\ \&" "\ \&"
.\" -----------------------------------------------------------------
.\" * Portability definitions
.\" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -47,7 +47,7 @@ on integer-indexed fields: if the natural data structure for the latter is the
array, then Miller's natural data structure is the insertion-ordered hash map.
This encompasses a variety of data formats, including but not limited to the
familiar CSV, TSV, and JSON. (Miller can handle positionally-indexed data as
a special case.) This manpage documents mlr 6.3.0.
a special case.) This manpage documents mlr 6.3.0-dev.
.SH "EXAMPLES"
.sp
@ -212,11 +212,11 @@ for all things with "map" in their names.
altkv bar bootstrap cat check clean-whitespace count-distinct count
count-similar cut decimate fill-down fill-empty filter flatten format-values
fraction gap grep group-by group-like having-fields head histogram json-parse
json-stringify join label latin1-to-utf8 utf8-to-latin1 least-frequent
merge-fields most-frequent nest nothing put regularize remove-empty-columns
rename reorder repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle
skip-trivial-records sort sort-within-records split stats1 stats2 step tac
tail tee template top unflatten uniq unsparsify
json-stringify join label latin1-to-utf8 least-frequent merge-fields
most-frequent nest nothing put regularize remove-empty-columns rename reorder
repeat reshape sample sec2gmtdate sec2gmt seqgen shuffle skip-trivial-records
sort sort-within-records split stats1 stats2 step summary tac tail tee
template top utf8-to-latin1 unflatten uniq unsparsify
.fi
.if n \{\
.RE
@ -1645,19 +1645,6 @@ Options:
.fi
.if n \{\
.RE
.SS "utf8-to-latin1"
.if n \{\
.RS 0
.\}
.nf
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
.fi
.if n \{\
.RE
.SS "least-frequent"
.if n \{\
.RS 0
@ -1686,6 +1673,8 @@ specified fields.
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -1697,6 +1686,8 @@ Options:
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
@ -2272,6 +2263,8 @@ Options:
median This is the same as p50
p10 p25.2 p50 p98 p100 etc.
count Count instances of fields
null_count Count number of empty-string/JSON-null instances per field
distinct_count Count number of distinct values per field
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
@ -2283,6 +2276,8 @@ Options:
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
minlen Compute minimum string-lengths of specified fields
maxlen Compute maximum string-lengths of specified fields
-f {a,b,c} Value-field names on which to compute statistics
--fr {regex} Regex for value-field names on which to compute statistics
@ -2407,6 +2402,54 @@ for more information on EWMA.
.fi
.if n \{\
.RE
.SS "summary"
.if n \{\
.RS 0
.\}
.nf
Usage: mlr summary [options]
Show summary statistics about the input data.
All summarizers:
field_type string, int, etc. -- if a column has mixed types, all encountered types are printed
count +1 for every instance of the field across all records in the input record stream
null_count count of field values either empty string or JSON null
distinct_count count of distinct values for the field
mode most-frequently-occurring value for the field
sum sum of field values
mean mean of the field values
stddev standard deviation of the field values
var variance of the field values
skewness skewness of the field values
minlen length of shortest string representation for the field
maxlen length of longest string representation for the field
min minimum field value
p25 first-quartile field value
median median field value
p75 third-quartile field value
max maximum field value
iqr interquartile range: p75 - p25
lof lower outer fence: p25 - 3.0 * iqr
lif lower inner fence: p25 - 1.5 * iqr
uif upper inner fence: p75 + 1.5 * iqr
uof upper outer fence: p75 + 3.0 * iqr
Default summarizers:
field_type count mean min median max null_count distinct_count
Notes:
* min, p25, median, p75, and max work for strings as well as numbers
* Distinct-counts are computed on string representations -- so 4.1 and 4.10 are counted as distinct here.
* If the mode is not unique in the input data, the first-encountered value is reported as the mode.
Options:
-a {mean,sum,etc.} Use only the specified summarizers.
-x {mean,sum,etc.} Use all summarizers, except the specified ones.
--all Use all available summarizers.
-h|--help Show this message.
.fi
.if n \{\
.RE
.SS "tac"
.if n \{\
.RS 0
@ -2496,6 +2539,19 @@ please see https://miller.readthedocs.io/en/latest/reference-verbs#top
.fi
.if n \{\
.RE
.SS "utf8-to-latin1"
.if n \{\
.RS 0
.\}
.nf
Usage: mlr utf8-to-latin1, with no options.
Recursively converts record strings from Latin-1 to UTF-8.
For field-level control, please see the utf8_to_latin1 DSL function.
Options:
-h|--help Show this message.
.fi
.if n \{\
.RE
.SS "unflatten"
.if n \{\
.RS 0