Working with CSV, TSV
Encode/Decode/Roundtrip CSV and TSV files.
Encode
Currently supports arrays of homogeneous flat objects, that is: no nesting and it assumes the first object has all the keys required:
As well as arrays of arrays of scalars (strings/numbers/booleans):
Decode
Decode assumes the first CSV/TSV row is the header row, and all rows beneath are the entries. The data will be coded into an array of objects, using the header rows as keys.
Encode CSV simple
Given a sample.yml file of:
then
will output
Encode TSV simple
Given a sample.yml file of:
then
will output
Encode array of objects to csv
Given a sample.yml file of:
then
will output
Encode array of objects to custom csv format
Add the header row manually, then the we convert each object into an array of values - resulting in an array of arrays. Pick the columns and call the header whatever you like.
Given a sample.yml file of:
then
will output
Encode array of objects to csv - missing fields behaviour
First entry is used to determine the headers, and it is missing 'likesApples', so it is not included in the csv. Second entry does not have 'numberOfCats' so that is blank
Given a sample.yml file of:
then
will output
Parse CSV into an array of objects
First row is assumed to be the header row. By default, entries with YAML/JSON formatting will be parsed!
Given a sample.csv file of:
then
will output
Parse CSV into an array of objects, no auto-parsing
First row is assumed to be the header row. Entries with YAML/JSON will be left as strings.
Given a sample.csv file of:
then
will output
Parse TSV into an array of objects
First row is assumed to be the header row.
Given a sample.tsv file of:
then
will output
Round trip
Given a sample.csv file of:
then
will output
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