--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/paracords_plot.py	Sun Sep 23 07:52:27 2018 -0400
@@ -0,0 +1,83 @@
+import sys
+import argparse
+import plotly
+import plotly.graph_objs as go
+import pandas as pd
+
+def main(infile, col_dimensions, col_color):
+    """
+    Produce an interactive paracords plotting html
+    Args:
+        infile: str, tabular file
+        col_dimensions: str, comma separated index numbers. For example: "3,4,5"
+        col_color: str, index number
+    """
+    df = pd.read_csv(infile, sep='\t', parse_dates=True)
+
+    dimensions = []
+    col_dimensions = [int(x)-1 for x in col_dimensions.split(',')]
+    for col in col_dimensions:
+        values = df[df.columns[col]]
+        if all(type(e) is int for e in values ):
+            dimensions.append(
+                dict(   values = values,
+                        tickformat = ",.2r",
+                        label = df.columns[col])
+            )
+        elif all(type(e) is float for e in values ):
+            dimensions.append(
+                dict(   values = values,
+                        tickformat = "g",
+                        label = df.columns[col])
+            )
+        else:
+            unique_values = list(set(values))
+            dimensions.append(
+                dict(   range = [0, len(unique_values)-1],
+                        tickvals = list(range(len(unique_values))),
+                        ticktext = [str(e) for e in unique_values],
+                        values = list(map(lambda e: unique_values.index(e), values )),
+                        label = df.columns[col])
+            )
+
+    col_color = int(col_color) - 1
+    colors = df[df.columns[col_color]]
+    if all(type(e) is int for e in colors ):
+        tickformat = ",.2r"
+    elif all(type(e) is float for e in colors ):
+        tickformat = "g"
+    else:
+        sys.exit("Error: the column for coloring must contain all numerical values!")
+
+    dimensions.append(
+        dict(
+                values = colors,
+                tickformat = tickformat,
+                label = df.columns[col_color]
+        )
+    )
+
+    line = dict(
+                color = colors,
+                colorscale = 'Jet',
+                showscale = True,
+                reversescale = True
+    )
+
+    data = [
+            go.Parcoords(
+                line = line,
+                dimensions = dimensions
+            )
+    ]
+
+    plotly.offline.plot(data, filename = "output.html", auto_open=False)
+
+if __name__ == "__main__":
+    aparser = argparse.ArgumentParser()
+    aparser.add_argument( "-i", "--input", dest="infile", required=True)
+    aparser.add_argument( "-d", "--col_dimensions", dest="col_dimensions")
+    aparser.add_argument( "-c", "--col_color", dest="col_color")
+    args = aparser.parse_args()
+
+    main(args.infile, args.col_dimensions, args.col_color)
\ No newline at end of file