view visualization.py @ 1:bef8eb5ab4b2 draft

Deleted selected files

#!/usr/bin/env python3
""" visualization module """

import numpy as np
import configuration
import matplotlib.pyplot as plt
import matplotlib.lines as mlines


def vis_profrep(seq_ids_all, files_dict, seq_lengths_all, CN, HTML_DATA,
                seqs_all_part):
    ''' visualization of repetitive profiles'''
    graphs_dict = {}
    seq_id_repeats = []
    th_length = configuration.SEQ_LEN_VIZ
    exclude = set(['ALL'])
    sorted_keys = sorted(set(files_dict.keys()).difference(exclude))
    sorted_keys.insert(0, "ALL")
    plot_num = 0
    seqs_long = []
    seqs_count = 1
    seqs_max_limit = []
    for repeat in sorted_keys:
        with open(files_dict[repeat][0], "r") as repeat_f:
            positions_all = []
            hits_all = []
            include = True
            first_line = repeat_f.readline()
            seq_id_repeat = first_line.rstrip().split("chrom=")[1]
            seq_len_repeat = seq_lengths_all[seq_ids_all.index(seq_id_repeat)]
            if seq_id_repeat not in graphs_dict.keys():
                if seq_len_repeat > th_length:
                    if seq_id_repeat not in seqs_long:
                        seqs_long.append(seq_id_repeat)
                    include = False
                else:
                    [fig, ax] = plot_figure(seq_id_repeat, seq_len_repeat, CN)
                    graphs_dict[seq_id_repeat] = [fig, ax]
            seq_id_repeats.append(seq_id_repeat)
            for line in repeat_f:
                if "chrom" in line:
                    seqs_count += 1
                    if include:
                        graphs_dict = plot_profile(
                            graphs_dict, seq_id_repeats[-1], positions_all,
                            hits_all, repeat, plot_num)
                        positions_all = []
                        hits_all = []
                    seq_id_repeat = line.rstrip().split("chrom=")[1]
                    seq_len_repeat = seq_lengths_all[seq_ids_all.index(
                        seq_id_repeat)]
                    if seq_id_repeat not in graphs_dict.keys():
                        if seq_len_repeat > th_length:
                            if seq_id_repeat not in seqs_long:
                                seqs_long.append(seq_id_repeat)
                            include = False
                        else:
                            [fig, ax] = plot_figure(seq_id_repeat,
                                                    seq_len_repeat, CN)
                            graphs_dict[seq_id_repeat] = [fig, ax]
                    seq_id_repeats.append(seq_id_repeat)
                    if seq_id_repeat not in seqs_all_part:
                        break
                else:
                    if include:
                        positions_all.append(line.rstrip().split("\t")[0])
                        hits_all.append(line.rstrip().split("\t")[1])
        if include:
            graphs_dict = plot_profile(graphs_dict, seq_id_repeats[-1],
                                       positions_all, hits_all, repeat,
                                       plot_num)
            seq_id_repeats.append(seq_id_repeat)
            positions_all = []
            hits_all = []
        plot_num += 1
    return graphs_dict, seqs_long


def plot_figure(seq_id, seq_length, CN):
    fig = plt.figure(figsize=(18, 8))
    ax = fig.add_subplot(111)
    ax.set_xlabel('sequence bp')
    if CN:
        ax.set_ylabel('copy numbers')
    else:
        ax.set_ylabel('hits')
    ax.set_title(seq_id)
    plt.xlim([0, seq_length])
    return fig, ax


def plot_profile(graphs_dict, seq_id_repeat, positions_all, hits_all, repeat,
                 plot_num):
    if "|" in repeat:
        graphs_dict[seq_id_repeat][1].plot(
            positions_all,
            hits_all,
            label="|".join(repeat.split("|")[-2:]),
            color=configuration.COLORS_HEX[plot_num])
    else:
        graphs_dict[seq_id_repeat][1].plot(
            positions_all,
            hits_all,
            label=repeat,
            color=configuration.COLORS_HEX[plot_num])
    return graphs_dict


def vis_domains(fig, ax, seq_id, xminimal, xmaximal, domains):
    ''' visualization of protein domains'''
    y_upper_lim = ax.get_ylim()[1]
    dom_uniq = list(set(domains))
    colors = [configuration.COLORS_HEX[dom_uniq.index(domain)]
              for domain in domains]
    colors_dom = [
        list(reversed(configuration.COLORS_HEX))[dom_uniq.index(domain)]
        for domain in domains
    ]
    colors_legend = list(reversed(configuration.COLORS_HEX))[0:len(dom_uniq)]
    ax.hlines([y_upper_lim + y_upper_lim / 10] * len(xminimal),
              xminimal,
              xmaximal,
              color=colors_dom,
              lw=2,
              label=dom_uniq)
    lines_legend = []
    ax2 = ax.twinx()  # add second axis for domains
    for count_uniq in list(range(len(dom_uniq))):
        lines_legend.append(mlines.Line2D([], [],
                                          color=colors_legend[count_uniq],
                                          markersize=15,
                                          label=dom_uniq[count_uniq]))
    ax2.legend(lines_legend, [line.get_label() for line in lines_legend],
               bbox_to_anchor=(1.05, 1),
               loc='upper left',
               borderaxespad=0.)
    ax2.yaxis.set_visible(False)
    return fig, ax


def main():
    pass


if __name__ == "__main__":
    main()