from splot.splot import data_dict, Splot, bgcolor
# plot axis setup: a single water fall plot
myplot = Splot()
for i in range (11):
#load data: only the measured data will be plotted in this example,
dataPath = "data/3/"+str(i*10)
G = data_dict(dataPath, samplename ='Ag', scan = str(i*10))
#plot data: y offset is 0.5 unit below to the above curve
myplot.plot_data(**G, scal=1, offsety = i*-1)
# Always configure the plot at the last step
# Optional: add a title and change the label (the configuration here is ugly
# just for the purpose of showing an example)
# myplot.config(title="G(r) Plot", title_math = False,
# x='r', xunit='nm', y='G', yunit='nm^(-2)', label_math=False)
myplot.config(context='manu')
# See the figure
myplot.show()
# Save figure
myplot.save(name = "Example_3_WaterfallMeas", form = "pdf")
from splot.splot import data_dict, Splot
#plot axis setup: 1 rows 2 columns
myplot = Splot(2, 1)
r = [0, 20, 50, 80, 100]
for i in r:
# load the data:
dataPath = "data/4/" + str(i)
G = data_dict(dataPath,
samplename='Ag',
scan=str(i),
marker='o',
Linestyle='')
# plot data: y offset is set to the number of the file name
myplot.plot_data(**G, offsety=i, calc=True, diff=True, diffoffset=0)
# plot diff data at the bottom panel: Turn down the Meas and Calc curve,
# Only turn on the diff by diff = True and meas = False.
myplot.plot_data(**G, r=1, c=0, diff=True, meas=False, diffoffset=i / 24)
myplot.config(legend='out')
# Show figure and save
myplot.show()
myplot.save(name='Example_4_DiffAtSeparatedPanel', form='pdf')
from splot.splot import data_dict, Splot #get the data file Paths: data1Path = "data/1/80" data2Path = "data/1/10" # Load the 2 Data sets, call them g1 and g2: use open marker for the Meas data g1 = data_dict(data1Path, samplename='G', scan='80', marker='o', linestyle='') g2 = data_dict(data2Path, samplename='G', scan='10', marker='o', linestyle='') # plot axis setup: here we have 2 rows x 1 col myplot = Splot(2, 1) # plot data set 1: g1 at top panel, g2 at the bottom myplot.plot_data(**g1, r=0, c=0, calc=True, diff=True) myplot.plot_data(**g2, r=1, c=0, calc=True, diff=True) # Figure configuration is always the last step # Use 'context = manu', so no legend shown. # Leave it blank, then the legends come back. #myplot.config(context='manu') myplot.config() # See the figure and save myplot.show() myplot.save(name='Example_1_TwoPanMeasCalcDiff', form='pdf')
from splot.splot import data_dict, Splot, bgcolor #get the data file Paths: data1Path = "data/2/sub_20161114-235343_Ag0_ct_180_2c77c1_0001.gr" data2Path = "data/2/sub_20161115-002440_Ag100_ct_180_c73701_0001.gr" # Load the 2 Data sets, call them g1 and g2: use open marker for the Meas data data_set1 = data_dict(data1Path, samplename='Ag', scan='0') data_set2 = data_dict(data2Path, samplename='Ag', scan='100') # plot axis setup: a sinlge panel plot myplot = Splot() # plot data at the sinlge panel, no need to write row and col numbers myplot.plot_data(**data_set1) myplot.plot_data(**data_set2) #plot the difference between the two data sets at panel(r=0, c=0): myplot.curves_diff(data_set1, data_set2) # Figure configuration, the last step myplot.config(context='manu') # Show the figure and save myplot.show() myplot.save(name='Example_2_MeasCompare', form='pdf')