comparison paracords_plot.py @ 1:7b21a9b5922f draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/plotly_parallel_coordinates_plot commit 7ba5d8f0e920dccbc82588e4f4a7b9039dc3ea36

0:7b2455348edf

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"

    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 )),

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)

1:7b21a9b5922f

import argparse
import plotly
import plotly.graph_objs as go
import pandas as pd

def main(infile, col_dimensions, categorized, 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"

    dimensions = []
    col_dimensions = [int(x)-1 for x in col_dimensions.split(',')]
    for col in col_dimensions:
        values = df[df.columns[col]]
        if categorized == 'boolfalse' and all(type(e) is int for e in values ):
            dimensions.append(
                dict(   values = values,
                        tickformat = ",.2r",
                        label = df.columns[col])
            )
        elif categorized == 'boolfalse' and 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))
            unique_values.sort()
            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 )),

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( "-t", "--categorized_datatype", dest="categorized")
    aparser.add_argument( "-c", "--col_color", dest="col_color")
    args = aparser.parse_args()

    main(args.infile, args.col_dimensions, args.categorized, args.col_color)