54 lines
1.9 KiB
Plaintext
Executable File
54 lines
1.9 KiB
Plaintext
Executable File
/*
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Adapted from: http://benfry.com/writing/map/Table.pde
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See also Visualizing Data, Ben Fry, O'Reilly, 2008 (p32)
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*/
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// Customised Table class to allow processing of data (csv format)
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class Table {
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String[][] data; // set up 2 dimensional array for data
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int rowCount; // number of rows in table
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// constructor method taking filename (of data file) as param
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Table(String filename) {
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String[] rows = loadStrings(filename); // load in data as array of Strings
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data = new String[rows.length][]; // set number of rows for data array
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char separator = ','; // set commas as default separator
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// loop through each line of data
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for (int i = 0; i < rows.length; i++) {
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if (trim(rows[i]).length() == 0)
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continue; // skip empty rows
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if (rows[i].startsWith("#"))
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continue; // skip comment lines
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// split the text at every separator character
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String[] pieces = split(rows[i], separator);
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data[rowCount] = pieces; // add data to the data array
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rowCount++;
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}
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// resize data array in case rows remain unused
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data = (String[][]) subset(data, 0, rowCount);
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}
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// return the row count (number of rows of data)
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int getRowCount() {
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return rowCount;
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}
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// return the String from the given row/column, minus any double quotes
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String getString(int row, int column) {
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return data[row][column].replace("\"", ""); // remove double quotes
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}
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// if expecting an int, return String from row/column as int
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int getInt(int row, int column) {
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return parseInt(getString(row, column));
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}
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// if expecting a float, return String from row/column as float
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float getFloat(int row, int column) {
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return parseFloat(getString(row, column));
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}
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}
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