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

Contributors

@risenW