Chaco中的小刻度始终被忽略：
这并不总是很方便。是否可能像在matplotlib中那样在Chaco中产生较小的滴答声：
尚未找到任何相关的信息..
谢谢。
最佳答案
编辑：此功能现已添加到Chaco 4.6，因此，如果您使用的是此版本或更高版本，请使用以下类似代码。如果没有看到下面的原始帖子。另请参见文档here和另一个示例here。
if __name__ == "__main__":
from traits.etsconfig.api import ETSConfig
ETSConfig.toolkit = 'qt4'
#
import warnings
warnings.filterwarnings(action = "ignore", category = FutureWarning, module="chaco")
warnings.filterwarnings(action = "ignore", category = FutureWarning, module="traits")
#
from PySide import QtGui, QtCore
import numpy as np
from enable.api import Component, Container, Window
from chaco.api import *
import sys
#
class ChacoPlot(QtGui.QWidget):
def __init__(self, parent=None):
super(ChacoPlot, self).__init__(parent)
#
self.container = OverlayPlotContainer(padding=40)
#
self.enableWindow = Window(self, -1, component=self.container)
windowLayout = QtGui.QVBoxLayout(self)
windowLayout.addWidget(self.enableWindow.control)
#
self.xRange = DataRange1D()
self.yRange = DataRange1D()
#
self.xMapper = LinearMapper(range=self.xRange)
self.yMapper = LinearMapper(range=self.yRange)
#
self.plots = {}
# keep a list of plots added to the container
#
def setMinimumSize(self, width, height):
self.enableWindow.control.setMinimumSize(width, height)
#
def addLine(self, name, plotType):
xSource = ArrayDataSource([0])
ySource = ArrayDataSource([0])
#
self.xRange.add(xSource)
self.yRange.add(ySource)
#
index_mapper = self.xMapper
value_mapper = self.yMapper
#
# plotType is a class name
plot = plotType( index = xSource,
value = ySource,
index_mapper = index_mapper,
value_mapper = value_mapper,
visible = False
)
#
self.container.add(plot)
#
self.plots[name] = {'plot':plot, 'xSource':xSource, 'ySource':ySource}
#
def updateLine(self, name, xData, yData):
plot = self.plots[name]
#
if np.array(xData).size != 0:
plot['plot'].visible = True
else:
plot['plot'].visible = False
xData = [0]
yData = [0]
#
plot['xSource'].set_data(xData)
plot['ySource'].set_data(yData)
#
def addAxis(self, plotName, orientation):
plot = self.plots[plotName]['plot']
#
if orientation == 'top' or orientation == 'bottom':
mapper = self.xMapper
if orientation == 'left' or orientation == 'right':
mapper = self.yMapper
#
axis = PlotAxis(plot, orientation=orientation, mapper=mapper)
plot.overlays.append(axis)
#
return axis
#
def addMinorAxis(self, plotName, orientation):
plot = self.plots[plotName]['plot']
#
if orientation == 'top' or orientation == 'bottom':
mapper = self.xMapper
range = self.xRange
if orientation == 'left' or orientation == 'right':
mapper = self.yMapper
range = self.yRange
#
newAxis = MinorPlotAxis(plot, orientation=orientation, mapper=mapper)
plot.overlays.append(newAxis)
#
return axis
#
#
if __name__ == "__main__":
appQT = QtGui.QApplication.instance()
#
x1 = np.arange(300)/18.0
y1 = np.sin(x1)
x2 = np.arange(300)/18.0
y2 = 2.0*np.cos(x2)
#
plot = ChacoPlot()
plot.setMinimumSize(400,300)
#
plot.addLine('line1', LinePlot)
plot.addLine('line2', LinePlot)
plot.updateLine('line1', x1, y1)
plot.updateLine('line2', x2, y2)
#
plot.addAxis('line1', 'bottom')
plot.addAxis('line1', 'left')
plot.addMinorAxis('line1', 'bottom')
plot.addMinorAxis('line1', 'left')
#
plot.show()
appQT.exec_()
原始语言：Chaco没有专门的此功能，但是您可以通过添加额外的
PlotAxis来添加较小的刻度。您需要修改轴的一些属性：tick_generator-此对象定义刻度线的位置tick_label_formatter-此函数返回给定刻度标签值的刻度标签字符串tick_in和tick_out-这些数字定义刻度的大小（在轴内和在轴外）这是一个例子。它有很多代码，但是相当简单。尽管人们通常使用
Plot辅助类来绘制图，但我还是想手动创建图，因为它更容易自定义。无论如何希望它会有所帮助。if __name__ == "__main__":
from traits.etsconfig.api import ETSConfig
ETSConfig.toolkit = 'qt4'
#
import warnings
warnings.filterwarnings(action = "ignore", category = FutureWarning, module="chaco")
warnings.filterwarnings(action = "ignore", category = FutureWarning, module="traits")
#
from PySide import QtGui, QtCore
import numpy as np
from enable.api import Component, Container, Window
from chaco.api import *
import sys
#
class ChacoPlot(QtGui.QWidget):
def __init__(self, parent=None):
super(ChacoPlot, self).__init__(parent)
#
self.container = OverlayPlotContainer(padding=40)
#
self.enableWindow = Window(self, -1, component=self.container)
windowLayout = QtGui.QVBoxLayout(self)
windowLayout.addWidget(self.enableWindow.control)
#
self.xRange = DataRange1D()
self.yRange = DataRange1D()
#
self.xMapper = LinearMapper(range=self.xRange)
self.yMapper = LinearMapper(range=self.yRange)
#
self.plots = {}
# keep a list of plots added to the container
#
def setMinimumSize(self, width, height):
self.enableWindow.control.setMinimumSize(width, height)
#
def addLine(self, name, plotType):
xSource = ArrayDataSource([0])
ySource = ArrayDataSource([0])
#
self.xRange.add(xSource)
self.yRange.add(ySource)
#
index_mapper = self.xMapper
value_mapper = self.yMapper
#
# plotType is a class name
plot = plotType( index = xSource,
value = ySource,
index_mapper = index_mapper,
value_mapper = value_mapper,
visible = False
)
#
self.container.add(plot)
#
self.plots[name] = {'plot':plot, 'xSource':xSource, 'ySource':ySource}
#
def updateLine(self, name, xData, yData):
plot = self.plots[name]
#
if np.array(xData).size != 0:
plot['plot'].visible = True
else:
plot['plot'].visible = False
xData = [0]
yData = [0]
#
plot['xSource'].set_data(xData)
plot['ySource'].set_data(yData)
#
def addAxis(self, plotName, orientation):
plot = self.plots[plotName]['plot']
#
if orientation == 'top' or orientation == 'bottom':
mapper = self.xMapper
if orientation == 'left' or orientation == 'right':
mapper = self.yMapper
#
axis = PlotAxis(plot, orientation=orientation, mapper=mapper)
plot.overlays.append(axis)
#
return axis
#
def addMinorAxis(self, plotName, orientation):
plot = self.plots[plotName]['plot']
#
if orientation == 'top' or orientation == 'bottom':
mapper = self.xMapper
range = self.xRange
if orientation == 'left' or orientation == 'right':
mapper = self.yMapper
range = self.yRange
#
newAxis = PlotAxis(plot, orientation=orientation, mapper=mapper)
plot.overlays.append(newAxis)
#
newAxis.tick_generator = MinorTickGenerator()
#
newAxis.tick_label_formatter = lambda x: ''
newAxis.tick_in = 2
newAxis.tick_out = 2
#
#
class MinorTickGenerator(AbstractTickGenerator):
def __init__(self):
super(MinorTickGenerator, self).__init__()
#
def get_ticks(self, data_low, data_high, bounds_low, bounds_high, interval, use_endpoints=False, scale='linear'):
interval = interval
#
if interval == 'auto':
interval = auto_interval(data_low, data_high)/5.0
#
return auto_ticks(data_low, data_high, bounds_low, bounds_high, interval, use_endpoints)
#
#
if __name__ == "__main__":
appQT = QtGui.QApplication.instance()
#
x1 = np.arange(300)/18.0
y1 = np.sin(x1)
x2 = np.arange(300)/18.0
y2 = 2.0*np.cos(x2)
#
plot = ChacoPlot()
plot.setMinimumSize(400,300)
#
plot.addLine('line1', LinePlot)
plot.addLine('line2', LinePlot)
plot.updateLine('line1', x1, y1)
plot.updateLine('line2', x2, y2)
#
plot.addAxis('line1', 'bottom')
plot.addAxis('line1', 'left')
plot.addMinorAxis('line1', 'bottom')
plot.addMinorAxis('line1', 'left')
#
plot.show()
appQT.exec_()