You can annotate your renderings using Vapor’s build in annotations as well as MatPlotLib
import example_utils
from vapor import session, renderer, dataset, camera
from vapor.utils import histogram
ses = session.Session()
data = example_utils.OpenExampleDataset(ses)
ren = data.NewRenderer(renderer.TwoDDataRenderer)
ren.SetVariableName(data.GetDataVarNames(2)[1])
ses.GetCamera().ViewAll()
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import example_utils
2 from vapor import session, renderer, dataset, camera
3 from vapor.utils import histogram
File ~/work/vapor-python-cookbook/vapor-python-cookbook/notebooks/example_utils.py:20
16 sys.path.append('..')
19 from inspect import signature
---> 20 import numpy as np
21 from math import sin
23 def SampleFunctionOnRegularGrid(f, ext=None, shape=None):
ModuleNotFoundError: No module named 'numpy'
Vapor Colorbars¶
# Show the basic colorbar annotation for a renderer
colorbar = ren.GetColorbarAnnotation()
colorbar.SetEnabled(True)
ses.Show()
# Customized colorbar annotation
colorbar.SetSize((0.2, 0.25))
colorbar.SetTitle("Colorbar Title")
colorbar.SetCornerPosition((0.95, 0.95))
ses.Show()
MatPlotLib Colorbars¶
You can customize the histograms as you would MatPlotLib’s pylab.colorbar
tf = ren.GetPrimaryTransferFunction()
tf.ShowMatPlotLibColorbar()
tf.ShowMatPlotLibColorbar(orientation="vertical", figsize=(1.5,4))
# The MatPlotLib Colorbars are automatically synced to Vapor's transfer functions
tf.LoadBuiltinColormap(tf.ListBuiltinColormaps()[7])
ses.Show()
tf.ShowMatPlotLibColorbar()
colorbar.SetEnabled(False)
MatPlotLib Histograms¶
histogram.ShowMatPlotLibHistogram(ses, ren)
You can customize the histograms as you would matplotlib.pyplot.hist
plt = histogram.GetMatPlotLibHistogram(ses, ren, color ="red")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Title\n", fontweight="bold")
plt.show()
Axis Annotations¶
axis = ses.GetAxisAnnotations()
axis.SetAxisAnnotationEnabled(True)
ses.Show()
axis.SetNumTics((5,5))
axis.SetAxisFontSize(24)
ses.Show()
# This example dataset is not geo-referenced
# axis.SetLatLonAxesEnabled(True)
axis.SetAxisAnnotationEnabled(False)
Scene Annotations¶
Scene annotations are other annotations and rendering options that apply to the entire rendering such as background color.
scene = ses.GetSceneAnnotations()
scene.SetBackgroundColor((1,1,1))
scene.SetUseDomainFrame(False)
ses.Show()
scene.SetAxisArrowEnabled(True)
scene.SetAxisArrowSize(0.4)
scene.SetTimeType(scene.TimeAnnotationType.Timestep)
scene.SetTimeColor((0,0,0))
scene.SetTimeLLX(0.7)
ses.Show()