def example3_multiFigure(saveFiles_):
"""
In this example, two figures are created below each other and saved into a single file:
.. image:: ../exampleOutput/pieChart_large.png
:scale: 100%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
#-- create 1st figure. Make it portait size and use the holdFigure_=True argument to specify that the figure should not be displayed yet
expenseCategories = ["Rent", "Food", "Travel", "Fun"];
expenses = [1000, 300, 500, 250];
style = crGraphStyle.crGraphStyle();
style.figureSize = (14,6);
crGraphs.setStyle(style);
figure1 = crGraphs.createPieChart(expenses, expenseCategories, "Expenses", subPlot_=121, renderFigure_=False);
#-- create 2nd figure into the figure1 saved previously. Specify the file path to save into.
countries = ["Germany", "USA", "Canada"];
numOfCountryVisits = [10, 3, 7];
filePath = "";
if (saveFiles_):
filePath = "pieChart_large.png";
crGraphs.createPieChart(numOfCountryVisits, countries, showPercentageVals_=True, showActualVals_=False,
subPlot_=122,figure_=figure1, filePath_=filePath);
def example2_customAnnotationsAndColorMap(saveFiles_):
"""
In this example, a matrix plot with custom annotations and color map is created:
.. image:: ../exampleOutput/matrixPlot_fullAnnotations.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
performanceData = [
[12,11,10,9],
[11,10,7,6],
[9,8,6,5],
]
annotations = [ ['poor','poor','good','good'],
['poor','poor', 'good', 'excellent'],
['good', 'good','excellent','excellent']
];
style = crGraphStyle.crGraphStyle();
style.figureSize = (16,8);
style.colorMap = pyplot.cm.get_cmap("Oranges");
crGraphs.setStyle(style);
filePath = "";
if (saveFiles_):
filePath = "matrixPlot_fullAnnotations.png";
crGraphs.createMatrixPlot(performanceData, "Cost of fuel for drivers", colorBarLabel_="Fuel cost",
xLabel_="Driver skill", xTickLabels_=["Terrible","Quite bad","Satisfactory","Good"],
yLabel_="Engine efficiency", yTickLabels_=["Inefficient","OK","Efficient"],
annotateValues_=True, annotationValues_=annotations, annotationStringAfter_= "\ncost\nefficiency",
filePath_=filePath)
def example1_simple(saveFiles_):
"""
In this example, a simple bar plot is created:
.. image:: ../exampleOutput/barPlot_simple.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
profitData = [[10, 25, 40, 32, 60, 85, 75, 55, 70]]
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"]
filePath = ""
if (saveFiles_):
filePath = "barPlot_simple.png"
style = crGraphStyle.crGraphStyle()
style.gridType = crGraphStyle.GRID_TYPE.NONE
crGraphs.setStyle(style)
crGraphs.createBarPlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=0,
yMax_=100,
filePath_=filePath)
def example4_boxPlots(saveFiles_):
"""
In this example, a multi-line plot with box plots is created, without the grid or data point
connections shown.
Also, a Willcoxon test is performed find out data points with significant differences between them.
A \* notation is used next to a month where there is significant difference with p=0.05.
A \*\* notation is used when there is a significant different with p=0.01.
.. image:: ../exampleOutput/linePlot_boxPlots.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
profitData = [[20, 20, 30, 20, 35, 55, 40, 20, 30],
[10, 20, 28.5, 12, 25, 53.5, 35, 35, 40]]
#-- change each data point above to become a list with a normal distribution instead, with median of profitData[i][j]
profitData = [[
list(random.standard_normal(30) * 3 + profitData[i][j])
for j in range(len(profitData[i]))
] for i in range(len(profitData))]
legendLabels = ['Customer sales', 'Stocks']
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"]
style = crGraphStyle.crGraphStyle()
style.markers = ['s', 's']
style.colors = ['g', 'r']
style.lineWidth = 0
style.gridType = crGraphStyle.GRID_TYPE.NONE
crGraphs.setStyle(style)
filePath = ""
if (saveFiles_):
filePath = "linePlot_boxPlots.png"
crGraphs.createLinePlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=0,
yMax_=80,
legendLabels_=legendLabels,
showBoxPlots_=True,
doWilcoxon_=True,
filePath_=filePath)
def example3_errorBars(saveFiles_):
"""
In this example, a multi-line plot with error bars is created, with horizontal-only grid shown and with
data points connected together based on which year quarter they belong to:
.. image:: ../exampleOutput/linePlot_errorBars.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
profitData = [[9, 20, 30, 20, 35, 55, 40, 20, 30],
[1, 5, 10, 12, 25, 30, 35, 35, 40],
[10, 25, 40, 32, 60, 85, 75, 55, 70]]
#-- change each data point above to become a list with a normal distribution instead, with median of profitData[i][j]
profitData = [[
list(random.standard_normal(3) * 5 + profitData[i][j])
for j in range(len(profitData[i]))
] for i in range(len(profitData))]
legendLabels = ['Customer sales', 'Stocks', 'Total profit']
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"]
filePath = ""
if (saveFiles_):
filePath = "linePlot_errorBars.png"
style = crGraphStyle.crGraphStyle()
style.markers = ['o', 'o', 's']
style.colors = ['g', 'c', 'r']
style.numOfLegendColumns = 3
style.legendPosition = crGraphStyle.LEGEND_POSITION.UPPER_LEFT
style.gridType = crGraphStyle.GRID_TYPE.HORIZONTAL
crGraphs.setStyle(style)
crGraphs.createLinePlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=-20,
yMax_=120,
legendLabels_=legendLabels,
showConfidenceIntervals_=True,
xAxisGroupSize_=3,
filePath_=filePath)
def example2_colors(saveFiles_):
"""
In this example, the title, colors and font sizes are specified. Percentage values and actual values are also shown:
.. image:: ../exampleOutput/pieChart_colors.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
expenseCategories = ["Rent", "Food", "Travel", "Fun"];
expenses = [1000, 300, 500, 250];
style = crGraphStyle.crGraphStyle();
style.colors = ['yellow','cyan','grey','white'];
crGraphs.setStyle(style);
filePath = "";
if (saveFiles_):
filePath = "pieChart_colors.png";
crGraphs.createPieChart(expenses, expenseCategories, "Colors example", showPercentageVals_=True, showShadow_=True, filePath_=filePath);
def example():
"""
In this example, figures for the "Using Styles" page are created.
"""
profitData = [
[9, 20, 30, 20, 35, 55, 40, 20, 30],
[1, 5, 10, 12, 25, 30, 35, 35, 40],
[10, 25, 40, 32, 60, 85, 75, 55, 70],
]
legendLabels = ['Customer sales', 'Stocks', 'Total profit']
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"]
crGraphs.createLinePlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=0,
yMax_=100,
legendLabels_=legendLabels,
filePath_="usingStyles_noStyle.png")
style = crGraphStyle.crGraphStyle()
style.markers = ['o', 'd', 's']
style.colors = ['g', 'c', 'r']
style.titleFontSize = 40
style.numOfLegendColumns = 1
style.gridType = crGraphStyle.GRID_TYPE.MAJOR_HORIZONTAL
crGraphs.setStyle(style)
crGraphs.createLinePlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=0,
yMax_=100,
legendLabels_=legendLabels,
filePath_="usingStyles_style.png")
def example2_multiple(saveFiles_):
"""
In this example, a multi-line plot is created and its custom colours and markers are specified.
.. image:: ../exampleOutput/linePlot_multi.png
:scale: 50%
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
profitData = [
[9, 20, 30, 20, 35, 55, 40, 20, 30],
[1, 5, 10, 12, 25, 30, 35, 35, 40],
[10, 25, 40, 32, 60, 85, 75, 55, 70],
]
legendLabels = ['Customer sales', 'Stocks', 'Total profit']
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep"]
style = crGraphStyle.crGraphStyle()
style.markers = ['o', 'o', 's']
style.colors = ['g', 'c', 'r']
crGraphs.setStyle(style)
filePath = ""
if (saveFiles_):
filePath = "linePlot_multi.png"
crGraphs.createLinePlot(profitData,
"Profit so far this year",
xTickLabels_=months,
xLabel_="Month",
yLabel_="Profit (mil. £)",
yMin_=0,
yMax_=100,
legendLabels_=legendLabels,
filePath_=filePath)
def example(saveFiles_):
"""
In this example, plot images for a broken line plot are created:
:param saveFiles_: Boolean if True, figures are saved, if False, figures are displayed
"""
data = [
[
10, 12, 25, 32, 25, 57, 44, 54, 62, 60, 44, 35, 51, 62, 84, 280,
305, 312, 309, 323
],
]
data = [[
list(random.standard_normal(10) * 2 * j + data[i][j])
for j in range(len(data[i]))
] for i in range(len(data))]
filePathStandardPlot = ""
filePathBottomPlot = ""
filePathTopPlot = ""
if (saveFiles_):
filePathStandardPlot = "brokenLinePlot_standard.png"
filePathBottomPlot = "brokenLinePlot_bottom.png"
filePathTopPlot = "brokenLinePlot_top.png"
#-- get plot parameters for the zoomed in and zoomed out plots
yMinStandardPlot = 0
# y min of a plot that would normally be drawn for all data
yMaxStandardPlot = 400
# y max of a plot that would normally be drawn for all data
brokenLineYCoordinate = 100
# y value at which broken line will be drawn. This value separates the two "zoomedIn" and "zoomedOut" plots
brokenLineHeightPercentage = 50
# percentage of the plot height at which the broken line will be drawn
yMinBottomPlot, yMaxBottomPlot, yMinTopPlot, yMaxTopPlot = crGraphs.getBrokenLinePlotParameters(
yMinStandardPlot, brokenLineYCoordinate, yMaxStandardPlot,
brokenLineHeightPercentage)
style = crGraphStyle.crGraphStyle()
style.lineWidth = 2
crGraphs.setStyle(style)
#-- create the two plots as two separate files, using the y-axis parameters from above
xTickLabels = [(g + 1) for g in range(len(data[0]))]
crGraphs.createLinePlot(data,
"Population fitness",
xTickLabels_=xTickLabels,
xLabel_="Generation",
yLabel_="Fitness",
yMin_=yMinBottomPlot,
yMax_=yMaxBottomPlot,
yTicksStep_=20,
showBoxPlots_=True,
filePath_=filePathBottomPlot)
crGraphs.createLinePlot(data,
"Population fitness",
xTickLabels_=xTickLabels,
xLabel_="Generation",
yLabel_="Fitness",
yMin_=yMinTopPlot,
yMax_=yMaxTopPlot,
showBoxPlots_=True,
filePath_=filePathTopPlot)
#-- also create a standard plot for demonstration:
crGraphs.createLinePlot(data,
"Population fitness",
xTickLabels_=xTickLabels,
xLabel_="Generation",
yLabel_="Fitness",
yMin_=yMinStandardPlot,
yMax_=yMaxStandardPlot,
showBoxPlots_=True,
filePath_=filePathStandardPlot)
