Module: Daru::IO

Defined in:
lib/daru/io/io.rb,
lib/daru/io/sql_data_source.rb

Defined Under Namespace

Classes: SqlDataSource

Class Method Summary collapse

Class Method Details

.dataframe_write_csv(dataframe, path, opts = {}) ⇒ Object 



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# File 'lib/daru/io/io.rb', line 103

def dataframe_write_csv dataframe, path, opts={}
  options = {
    converters: :numeric
  }.merge(opts)

  writer = ::CSV.open(path, 'w', options)
  writer << dataframe.vectors.to_a unless options[:headers] == false

  dataframe.each_row do |row|
    writer << if options[:convert_comma]
                row.map { |v| v.to_s.tr('.', ',') }
              else
                row.to_a
              end
  end

  writer.close
end

.dataframe_write_excel(dataframe, path, _opts = {}) ⇒ Object 



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# File 'lib/daru/io/io.rb', line 42

def dataframe_write_excel dataframe, path, _opts={}
  book   = Spreadsheet::Workbook.new
  sheet  = book.create_worksheet
  format = Spreadsheet::Format.new color: :blue, weight: :bold

  sheet.row(0).concat(dataframe.vectors.to_a.map(&:to_s)) # Unfreeze strings
  sheet.row(0).default_format = format
  i = 1
  dataframe.each_row do |row|
    sheet.row(i).concat(row.to_a)
    i += 1
  end

  book.write(path)
end

.dataframe_write_sql(ds, dbh, table) ⇒ Object 



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# File 'lib/daru/io/io.rb', line 134

def dataframe_write_sql ds, dbh, table
  require 'dbi'
  query = "INSERT INTO #{table} ("+ds.vectors.to_a.join(',')+') VALUES ('+(['?']*ds.vectors.size).join(',')+')'
  sth   = dbh.prepare(query)
  ds.each_row { |c| sth.execute(*c.to_a) }
  true
end

.from_activerecord(relation, *fields) ⇒ Object

Load dataframe from AR::Relation

Parameters:

  • relation (ActiveRecord::Relation) —

    A relation to be used to load the contents of dataframe

Returns:

  • A dataframe containing the data in the given relation



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# File 'lib/daru/io/io.rb', line 147

def from_activerecord(relation, *fields)
  if fields.empty?
    records = relation.map do |record|
      record.attributes.symbolize_keys
    end
    return Daru::DataFrame.new(records)
  else
    fields = fields.map(&:to_sym)
  end

  vectors = Hash[*fields.map { |name|
    [
      name,
      Daru::Vector.new([]).tap { |v| v.rename name }
    ]
  }.flatten]

  Daru::DataFrame.new(vectors, order: fields).tap do |df|
    relation.pluck(*fields).each do |record|
      df.add_row(Array(record))
    end
    df.update
  end
end

.from_csv(path, opts = {}) ⇒ Object

Functions for loading/writing CSV files



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# File 'lib/daru/io/io.rb', line 59

def from_csv path, opts={}
  opts[:col_sep]           ||= ','
  opts[:converters]        ||= :numeric

  daru_options = opts.keys.each_with_object({}) do |k, hash|
    if [:clone, :order, :index, :name].include?(k)
      hash[k] = opts[k]
      opts.delete k
    end
  end

  # Preprocess headers for detecting and correcting repetition in
  # case the :headers option is not specified.
  if opts[:headers]
    opts[:header_converters] ||= :symbol

    csv = ::CSV.read(path, 'rb',opts)
    yield csv if block_given?

    hsh = {}
    csv.by_col.each do |col_name, values|
      hsh[col_name] = values
    end
  else
    csv = ::CSV.open(path, 'rb', opts)
    yield csv if block_given?

    csv_as_arrays = csv.to_a
    headers       = csv_as_arrays[0].recode_repeated.map
    csv_as_arrays.delete_at 0
    csv_as_arrays = csv_as_arrays.transpose

    hsh = {}
    headers.each_with_index do |h, i|
      hsh[h] = csv_as_arrays[i]
    end

    # Order columns as given in CSV
    daru_options[:order] = headers.to_a
  end

  Daru::DataFrame.new(hsh,daru_options)
end

.from_excel(path, opts = {}) ⇒ Object

Functions for loading/writing Excel files.



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# File 'lib/daru/io/io.rb', line 22

def from_excel path, opts={}
  opts = {
    worksheet_id: 0
  }.merge opts

  worksheet_id = opts[:worksheet_id]
  book         = Spreadsheet.open path
  worksheet    = book.worksheet worksheet_id
  headers      = worksheet.row(0).recode_repeated.map(&:to_sym)

  df = Daru::DataFrame.new({})
  headers.each_with_index do |h,i|
    col = worksheet.column(i).to_a
    col.delete_at 0
    df[h] = col
  end

  df
end

.from_plaintext(filename, fields) ⇒ Object

Loading data from plain text files



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# File 'lib/daru/io/io.rb', line 174

def from_plaintext filename, fields
  ds = Daru::DataFrame.new({}, order: fields)
  fp = File.open(filename,'r')
  fp.each_line do |line|
    row = Daru::IOHelpers.process_row(line.strip.split(/\s+/),[''])
    next if row == ["\x1A"]
    ds.add_row(row)
  end
  ds.update
  fields.each { |f| ds[f].rename f }
  ds
end

.from_sql(db, query) ⇒ Object

Execute a query and create a data frame from the result

Parameters:

  • dbh (DBI::DatabaseHandle) —

    A DBI connection to be used to run the query

  • query (String) —

    The query to be executed

Returns:

  • A dataframe containing the data resulting from the query



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# File 'lib/daru/io/io.rb', line 129

def from_sql(db, query)
  require 'daru/io/sql_data_source'
  SqlDataSource.make_dataframe(db, query)
end

.load(filename) ⇒ Object 



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# File 'lib/daru/io/io.rb', line 194

def load filename
  if File.exist? filename
    o = false
    File.open(filename, 'r') { |fp| o = Marshal.load(fp) }
    o
  else
    false
  end
end

.save(klass, filename) ⇒ Object

Loading and writing Marshalled DataFrame/Vector



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# File 'lib/daru/io/io.rb', line 188

def save klass, filename
  fp = File.open(filename, 'w')
  Marshal.dump(klass, fp)
  fp.close
end