New Features
- Ability to create empty frames
- Flag for toggling between low/high memory mode
- Inplace support for all mutating operations
- Ability to set Configuration values on frame creation
- Support boolean mask for subsetting with iloc and loc. E.g
df.iloc({rows: df["count"].gt(5), columns: [0, 1]}) - Update an existing column value via subsetting. E.g
df["count"] = [1,3,4,5] - Add loc indexing support for Series
- Add configuration support for formating DataFrame display in the console
- New DataFrame applyMap function for element-wise apply function
- and and or logical comparison support. E.g
df.loc({
rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))
})- read_csv now uses Papaparse and supports config values for headers, separator, etc.
- to_csv , to_json and to_excel functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output.
- read_json now supports config values for headers, authentication, separator, etc.
- read_excel now uses XLSX parser, hence supports all XLSX config options.
- DataFrame query function now accepts boolean masks with single or multiple conditions. E.g
df.query({
rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))
})Bug Fixes
- Column data not being updated when mutating internal data array
- Str class error for non-string type
- Better error message
- Fix support for all JS Date format
- Fix loc slicing bug for row index with string labels
- DataFrame apply function now works only across a specified axis