Add histogram-making functions and plotting scripts

scripts/DSF_iK.py

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+import argparse
+import plotly.graph_objects as go
+import numpy
+
+parser = argparse.ArgumentParser()
+parser.add_argument('omegafile', help='Omega filename')
+parser.add_argument('dsffile', help='DSF filename')
+args = parser.parse_args()
+
+omega = numpy.loadtxt(args.omegafile)
+dsf = numpy.loadtxt(args.dsffile)
+
+x = [o for o in omega]
+y = [d for d in dsf]
+
+fig = go.Figure(data=go.Scatter(x=x, y=y))
+fig.update_layout(title=args.dsffile.rpartition('/')[2])
+fig.show()
+
+

scripts/Histograms.py

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+import argparse
+import plotly.graph_objects as go
+import numpy
+
+parser = argparse.ArgumentParser()
+parser.add_argument('filenames', nargs='*')
+args = parser.parse_args()
+
+print(args)
+
+fig = go.Figure()
+
+for datafilename in args.filenames:
+	data = numpy.loadtxt(datafilename, delimiter="\t", usecols=[0,1,2,3])
+	x = [line[0] for line in data]
+	y = [line[3] for line in data]
+	fig.add_trace(go.Bar(x=x, y=y))
+
+fig.show()
+
+

scripts/Histograms_Animated.py

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+import argparse
+import plotly.graph_objects as go
+import numpy
+
+parser = argparse.ArgumentParser()
+parser.add_argument('filename', help='Enter the sliced data filename')
+args = parser.parse_args()
+
+data = numpy.loadtxt(args.filename, delimiter="\t")
+# The data is in row format
+x = [i for i in range(len(data[0]))]
+
+fig = go.Figure()
+
+for line in data:
+	fig.add_trace(go.Bar(x=x, y=[d for d in line]))
+
+steps = []
+for i in range(len(fig.data)):
+	step = dict(
+		method="update",
+		args=[{'visible': [False] * len(fig.data)},
+			{'title': "Slider switched to step: " + str(i)}],)
+	step["args"][0]["visible"][i] = True
+	steps.append(step)
+
+sliders = [dict(
+	active=0,
+	currentvalue={"prefix": "bin box "},
+	pad={"t": 50},
+	steps=steps)]
+
+fig.update_yaxes(range=[0,0.2])
+fig.update_layout(
+	sliders=sliders
+)
+fig.show()
+