{ "metadata": { "language": "haskell", "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "import Graphics.Rendering.Chart\n", "import Data.Colour\n", "import Data.Colour.Names\n", "import Data.Default.Class\n", "import Control.Lens" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "chart borders = toRenderable layout\n", " where\n", " layout = \n", " layout_title .~ \"Sample Bars\" ++ btitle\n", " $ layout_title_style . font_size .~ 10\n", " $ layout_x_axis . laxis_generate .~ autoIndexAxis alabels\n", " $ layout_y_axis . laxis_override .~ axisGridHide\n", " $ layout_left_axis_visibility . axis_show_ticks .~ False\n", " $ layout_plots .~ [ plotBars bars2 ]\n", " $ def :: Layout PlotIndex Double\n", "\n", " bars2 = plot_bars_titles .~ [\"Cash\",\"Equity\"]\n", " $ plot_bars_values .~ addIndexes [[20,45],[45,30],[30,20],[70,25]]\n", " $ plot_bars_style .~ BarsClustered\n", " $ plot_bars_spacing .~ BarsFixGap 30 5\n", " $ plot_bars_item_styles .~ map mkstyle (cycle defaultColorSeq)\n", " $ def\n", "\n", " alabels = [ \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\" ]\n", "\n", " btitle = if borders then \"\" else \" (no borders)\"\n", " bstyle = if borders then Just (solidLine 1.0 $ opaque black) else Nothing\n", " mkstyle c = (solidFillStyle c, bstyle)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "chart True" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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