wx.lib.plot.polyobjects.PolyBoxPlot

Creates a PolyBoxPlot object.

param data:

Raw data to create a box plot from.

type data:

sequence of int or float

param **attr:

keyword attributes

Keyword and Default	Description	Type
colour='black'	edge color	wx.Colour
width=1	edge width	float
style=wx.PENSTYLE_SOLID	edge style	wx.PenStyle
legend=''	legend string	str

Note

np.NaN and np.inf values are ignored.

TODO

• [ ] Figure out a better way to get multiple box plots side-by-side (current method is a hack).

• [ ] change the X axis to some labels.

• [ ] Change getClosestPoint to only grab box plot items and outlers? Currently grabs every data point.

• [ ] Add more customization such as Pens/Brushes, outlier shapes/size, and box width.

• [ ] Figure out how I want to handle log-y: log data then calcBP? Or should I calc the BP first then the plot it on a log scale?

Class Hierarchy

Inheritance diagram for class PolyBoxPlot:

Known Superclasses

wx.lib.plot.polyobjects.PolyPoints

Methods Summary

__init__	Initialize self. See help(type(self)) for accurate signature.
boundingBox	Returns bounding box for the plot.
calcBpData	Box plot points
calcOutliers	Calculates the outliers. Must be called after calcBpData.
draw	Draws a box plot on the DC.
getClosestPoint	Returns the index of closest point on the curve, pointXY,
getSymExtent	Width and Height of Marker

Class API

class PolyBoxPlot(PolyPoints)

Creates a PolyBoxPlot object.

Parameters:

• data (sequence of int or float) – Raw data to create a box plot from.

• **attr – keyword attributes

Keyword and Default	Description	Type
colour='black'	edge color	wx.Colour
width=1	edge width	float
style=wx.PENSTYLE_SOLID	edge style	wx.PenStyle
legend=''	legend string	str

Note

np.NaN and np.inf values are ignored.

TODO

• [ ] Figure out a better way to get multiple box plots side-by-side (current method is a hack).

• [ ] change the X axis to some labels.

• [ ] Change getClosestPoint to only grab box plot items and outlers? Currently grabs every data point.

• [ ] Add more customization such as Pens/Brushes, outlier shapes/size, and box width.

• [ ] Figure out how I want to handle log-y: log data then calcBP? Or should I calc the BP first then the plot it on a log scale?

Methods

__init__(self, points, **attr)

Initialize self. See help(type(self)) for accurate signature.

---

boundingBox(self)

Returns bounding box for the plot.

Override method.

---

calcBpData(self, data=None)

Box plot points:

Median (50%) 75% 25% low_whisker = lowest value that’s >= (25% - (IQR * 1.5)) high_whisker = highest value that’s <= 75% + (IQR * 1.5)

outliers are outside of 1.5 * IQR

dataarray-like

The data to plot

bpdatacollections.namedtuple

Descriptive statistics for data: (min_data, low_whisker, q25, median, q75, high_whisker, max_data)

---

calcOutliers(self, data=None)

Calculates the outliers. Must be called after calcBpData.

---

draw(self, dc, printerScale, coord=None)

Draws a box plot on the DC.

The following draw order is required:

1. First the whisker line

2. Then the IQR box

3. Lasly the median line.

This is because

• The whiskers are drawn as single line rather than two lines

• The median line must be visible over the box if the box has a fill.

Other than that, the draw order can be changed.

---

getClosestPoint(self, pntXY, pointScaled=True)

Returns the index of closest point on the curve, pointXY, scaledXY, distance x, y in user coords.

Override method.

if pointScaled == True, then based on screen coords if pointScaled == False, then based on user coords

---

getSymExtent(self, printerScale)

Width and Height of Marker