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Add documentation for histogram, split-column
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Sebastian Jung
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172
docs/commands/histogram.md
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docs/commands/histogram.md
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# histogram
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Creates a new table with a histogram based on the column name passed in.
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Syntax: `histogram <column_name> ...args`
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### Parameters
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* `<column-name>`: name of the column to graph by
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* `args`: column name to give the histogram's frequency column
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## Examples
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Let's say we have this file `random_numers.csv` which contains 50 random numbers.
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**Note**: The input doesn't have to be numbers it works on strings too. Try it out.
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```shell
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> open random_numbers.csv
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━━━━┯━━━━━━━━━━━━━━━
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# │ random number
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────┼───────────────
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0 │ 87
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1 │ 46
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2 │ 39
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...
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47 │ 94
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48 │ 61
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49 │ 67
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━━━━┷━━━━━━━━━━━━━━━
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```
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If we now want to see how often the different numbers were generated, we can use the `histogram` function:
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```shell
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> open random_numbers.csv | histogram "random number"
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━━━━┯━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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# │ random number │ frecuency
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────┼───────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 10 │ *************************
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1 │ 14 │ **************************************************
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2 │ 17 │ *************************
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3 │ 22 │ *************************
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4 │ 24 │ *************************
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5 │ 28 │ *************************
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6 │ 29 │ *************************
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7 │ 31 │ *************************
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8 │ 37 │ *************************
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9 │ 38 │ *************************
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10 │ 39 │ *************************
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11 │ 45 │ *************************
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12 │ 46 │ ***************************************************************************
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13 │ 49 │ *************************
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14 │ 5 │ *************************
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15 │ 51 │ ***************************************************************************
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16 │ 52 │ *************************
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17 │ 55 │ *************************
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18 │ 56 │ **************************************************
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19 │ 60 │ *************************
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20 │ 61 │ **************************************************
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21 │ 64 │ *************************
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22 │ 65 │ *************************
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23 │ 67 │ **************************************************
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24 │ 68 │ *************************
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25 │ 73 │ *************************
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26 │ 80 │ **************************************************
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27 │ 82 │ *************************
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28 │ 86 │ ****************************************************************************************************
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29 │ 87 │ **************************************************
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30 │ 88 │ *************************
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31 │ 89 │ *************************
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32 │ 9 │ *************************
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33 │ 92 │ *************************
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34 │ 94 │ *************************
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35 │ 96 │ *************************
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36 │ 99 │ *************************
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━━━━┷━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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```
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We can also set the name of the second column or sort the table:
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```shell
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> open random_numbers.csv | histogram "random number" probability
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━━━━┯━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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# │ random number │ probability
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────┼───────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 10 │ *************************
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1 │ 14 │ **************************************************
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2 │ 17 │ *************************
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3 │ 22 │ *************************
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4 │ 24 │ *************************
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5 │ 28 │ *************************
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6 │ 29 │ *************************
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7 │ 31 │ *************************
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8 │ 37 │ *************************
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9 │ 38 │ *************************
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10 │ 39 │ *************************
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11 │ 45 │ *************************
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12 │ 46 │ ***************************************************************************
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13 │ 49 │ *************************
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14 │ 5 │ *************************
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15 │ 51 │ ***************************************************************************
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16 │ 52 │ *************************
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17 │ 55 │ *************************
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18 │ 56 │ **************************************************
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19 │ 60 │ *************************
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20 │ 61 │ **************************************************
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21 │ 64 │ *************************
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22 │ 65 │ *************************
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23 │ 67 │ **************************************************
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24 │ 68 │ *************************
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25 │ 73 │ *************************
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26 │ 80 │ **************************************************
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27 │ 82 │ *************************
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28 │ 86 │ ****************************************************************************************************
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29 │ 87 │ **************************************************
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30 │ 88 │ *************************
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31 │ 89 │ *************************
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32 │ 9 │ *************************
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33 │ 92 │ *************************
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34 │ 94 │ *************************
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35 │ 96 │ *************************
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36 │ 99 │ *************************
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━━━━┷━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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```
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```shell
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> open random_numbers.csv | histogram "random number" probability | sort-by probability
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━━━━┯━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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# │ random number │ probability
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────┼───────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 10 │ *************************
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1 │ 17 │ *************************
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2 │ 22 │ *************************
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3 │ 24 │ *************************
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4 │ 28 │ *************************
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5 │ 29 │ *************************
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6 │ 31 │ *************************
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7 │ 37 │ *************************
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8 │ 38 │ *************************
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9 │ 39 │ *************************
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10 │ 45 │ *************************
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11 │ 49 │ *************************
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12 │ 5 │ *************************
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13 │ 52 │ *************************
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14 │ 55 │ *************************
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15 │ 60 │ *************************
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16 │ 64 │ *************************
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17 │ 65 │ *************************
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18 │ 68 │ *************************
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19 │ 73 │ *************************
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20 │ 82 │ *************************
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21 │ 88 │ *************************
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22 │ 89 │ *************************
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23 │ 9 │ *************************
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24 │ 92 │ *************************
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25 │ 94 │ *************************
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26 │ 96 │ *************************
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27 │ 99 │ *************************
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28 │ 14 │ **************************************************
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29 │ 56 │ **************************************************
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30 │ 61 │ **************************************************
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31 │ 67 │ **************************************************
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32 │ 80 │ **************************************************
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33 │ 87 │ **************************************************
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34 │ 46 │ ***************************************************************************
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35 │ 51 │ ***************************************************************************
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36 │ 86 │ ****************************************************************************************************
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━━━━┷━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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```
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@ -1,5 +1,5 @@
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# env
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# sort-by
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The `sort-by` command sorts the table being displayed in the terminal by a chosen column(s).
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72
docs/commands/split-column.md
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72
docs/commands/split-column.md
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# split-column
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Split row contents across multiple columns via the separator.
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Syntax: `split-column <separator> ...args{flags}`
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### Parameters
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* `<seperator>`: string that denotes what separates columns
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* `args`: column names to give the new columns. If not specified they will be set to `Column1` `Column2` ...
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### Flags
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--collapse-empty
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Removes empty columns
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## Examples
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If we have file structured like this:
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```shell
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0.12643678160919541 | 0.6851851851851852 | 0.273972602739726
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0.28735632183908044 | 0.09259259259259259 | 0.6986301369863014
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0.8045977011494253 | 0.8148148148148148 | 0.7397260273972602
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0.28735632183908044 | 0.09259259259259259 | 0.547945205479452
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0.6896551724137931 | 0.7037037037037037 | 1.2465753424657535
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0.6896551724137931 | 0.8333333333333334 | 0.4657534246575342
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0.9080459770114943 | 1.3333333333333333 | 0.4931506849315068
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0.9310344827586207 | 1.1296296296296295 | 0.7123287671232876
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0.3448275862068966 | 0.018518518518518517 | 0.6575342465753424
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1.0459770114942528 | 1.0925925925925926 | 0.6164383561643836
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```
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We can build a table from it using the `split-column` command
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```shell
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> open coordinates.txt | lines | split-column " | "
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━━━┯━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━
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# │ Column1 │ Column2 │ Column3
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───┼─────────────────────┼──────────────────────┼────────────────────
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0 │ 0.12643678160919541 │ 0.6851851851851852 │ 0.273972602739726
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1 │ 0.28735632183908044 │ 0.09259259259259259 │ 0.6986301369863014
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2 │ 0.8045977011494253 │ 0.8148148148148148 │ 0.7397260273972602
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3 │ 0.28735632183908044 │ 0.09259259259259259 │ 0.547945205479452
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4 │ 0.6896551724137931 │ 0.7037037037037037 │ 1.2465753424657535
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5 │ 0.6896551724137931 │ 0.8333333333333334 │ 0.4657534246575342
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6 │ 0.9080459770114943 │ 1.3333333333333333 │ 0.4931506849315068
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7 │ 0.9310344827586207 │ 1.1296296296296295 │ 0.7123287671232876
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8 │ 0.3448275862068966 │ 0.018518518518518517 │ 0.6575342465753424
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9 │ 1.0459770114942528 │ 1.0925925925925926 │ 0.6164383561643836
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━━━┷━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━
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```
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And give names to the columns
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```shell
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> open coordinates.txt | lines | split-column " | " x y z
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━━━┯━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━
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# │ x │ y │ z
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───┼─────────────────────┼──────────────────────┼────────────────────
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0 │ 0.12643678160919541 │ 0.6851851851851852 │ 0.273972602739726
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1 │ 0.28735632183908044 │ 0.09259259259259259 │ 0.6986301369863014
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2 │ 0.8045977011494253 │ 0.8148148148148148 │ 0.7397260273972602
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3 │ 0.28735632183908044 │ 0.09259259259259259 │ 0.547945205479452
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4 │ 0.6896551724137931 │ 0.7037037037037037 │ 1.2465753424657535
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5 │ 0.6896551724137931 │ 0.8333333333333334 │ 0.4657534246575342
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6 │ 0.9080459770114943 │ 1.3333333333333333 │ 0.4931506849315068
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7 │ 0.9310344827586207 │ 1.1296296296296295 │ 0.7123287671232876
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8 │ 0.3448275862068966 │ 0.018518518518518517 │ 0.6575342465753424
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9 │ 1.0459770114942528 │ 1.0925925925925926 │ 0.6164383561643836
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━━━┷━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━
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```
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