def test_bokehDrawQAWithXarray():
"""
Standard drawing test
:return: None
"""
QAlayout: str = '((0,commonX=0),(1),(2,x_visible=1),commonX=2,x_visible=1,y_visible=0,plot_height=250,plot_width=1000)'
# xxx=bokehDraw(treeQA,"meanMIP>0",varX,"meanMIPele:meanMIPele:resolutionMIP","MIPquality_Warning",widgets,0,size=6,tooltip=tooltips,x_axis_type='datetime',layout=layout)
bokehDraw(treeQA,
"meanMIP>0",
varX,
"meanMIPele:meanMIPele:resolutionMIP",
"MIPquality_Warning",
widgets,
0,
size=6,
tooltip=tooltips,
layout=QAlayout)
def test_bokehDrawQAStandard():
"""
Standard bok
:return: None
"""
QAlayout: str = "((0),(1),(2,x_visible=1),commonX=2,x_visible=1,y_visible=0,plot_height=250,plot_width=1000)"
bokehDraw(treeQA,
"meanMIP>0",
"chunkMedian",
varDraw,
"MIPquality_Warning",
widgets,
0,
commonX=1,
size=6,
tooltip=tooltips,
x_axis_type='datetime',
layout=QAlayout)
def test_bokehDrawQAYerr():
"""
Test with error bars
:return: None
"""
QAlayout: str = "((0),(1),(2,x_visible=1),commonX=2,x_visible=1,y_visible=0,plot_height=250,plot_width=1000)"
xxxErr = bokehDraw(treeQA,
"meanMIP>0",
"chunkMedian",
"meanMIP:meanMIPele:resolutionMIP",
"MIPquality_Warning",
widgets,
0,
errY="meanMIPErr:meanMIPeleErr:resolutionMIPErr",
commonX=1,
size=6,
tooltip=tooltips,
x_axis_type='datetime',
layout=QAlayout)
def test_Draw():
df = pd.DataFrame(np.random.randint(0, 100, size=(100, 4)),
columns=list('ABCD'))
initMetadata(df)
df.head(10)
df.meta.metaData = {
'A.AxisTitle': "A (cm)",
'B.AxisTitle': "B (cm/s)",
'C.AxisTitle': "C (s)",
'D.AxisTitle': "D (a.u.)"
}
testLayout = "((0,1),(2,x_visible=0),(3), plot_height=200,plot_width=800,commonX=3,commonY=3,y_visible=0)"
bokehFigure = bokehDraw(
df,
"A>0",
"A",
"A:B:C:D",
"C",
"slider.A(0,100.1,0,1),slider.B(0,100,100,100,300)",
None,
layout=testLayout)