Mercurial > repos > azomics > clustergrammer_flow
comparison clustergrammerIPG.py @ 1:c90127c2a1ae draft default tip
"planemo upload for repository https://github.com/ImmPortDB/immport-galaxy-tools/tree/master/flowtools/clustergrammer_flow commit e47edffe14c2e8544fe0d00d932090657beae528"
author | azomics |
---|---|
date | Sun, 27 Jun 2021 22:13:16 +0000 |
parents | fee56ee2f7ac |
children |
comparison
equal
deleted
inserted
replaced
0:fee56ee2f7ac | 1:c90127c2a1ae |
---|---|
11 # version 1.2 -- June 2018 | 11 # version 1.2 -- June 2018 |
12 # added clustergrammer clustering parameters and normalization options | 12 # added clustergrammer clustering parameters and normalization options |
13 | 13 |
14 | 14 |
15 from __future__ import print_function | 15 from __future__ import print_function |
16 | |
17 import os | |
16 import sys | 18 import sys |
17 import os | 19 |
20 from clustergrammer import Network | |
18 | 21 |
19 from jinja2 import Environment, FileSystemLoader | 22 from jinja2 import Environment, FileSystemLoader |
23 | |
20 import pandas as pd | 24 import pandas as pd |
21 from clustergrammer import Network | |
22 | 25 |
23 | 26 |
24 def is_integer(s): | 27 def is_integer(s): |
25 try: | 28 try: |
26 int(s) | 29 int(s) |
50 else: | 53 else: |
51 output_list.append(int(tmp_col[c].strip()) - 1) | 54 output_list.append(int(tmp_col[c].strip()) - 1) |
52 return(output_list) | 55 return(output_list) |
53 | 56 |
54 | 57 |
55 def prepare_heatmap(matrix_input, html_file, html_dir, tools_dir, categories, distance, linkage): | 58 def prepare_heatmap(matrix_input, html_file, html_dir, tools_dir, |
59 categories, distance, linkage): | |
56 # prepare directory and html | 60 # prepare directory and html |
57 os.mkdir(html_dir) | 61 os.mkdir(html_dir) |
58 | 62 |
59 env = Environment(loader=FileSystemLoader(tools_dir + "/templates")) | 63 env = Environment(loader=FileSystemLoader(tools_dir + "/templates")) |
60 template = env.get_template("clustergrammer.template") | 64 template = env.get_template("clustergrammer.template") |
89 'row': df.iloc[:, 0], | 93 'row': df.iloc[:, 0], |
90 'col': df.columns[1:] | 94 'col': df.columns[1:] |
91 } | 95 } |
92 | 96 |
93 tmp_string = "-=-".join(args[8:]) | 97 tmp_string = "-=-".join(args[8:]) |
94 print (tmp_string + "\n") | 98 print(tmp_string + "\n") |
95 # get categories | 99 # get categories |
96 cats = tmp_string.split("-=-new_cat-=-") | 100 cats = tmp_string.split("-=-new_cat-=-") |
97 for cat in cats: | 101 for cat in cats: |
98 tmp_cat = cat.split("-=-") | 102 tmp_cat = cat.split("-=-") |
99 group = { | 103 group = { |
116 print(index_names, elem[0], sep="\t") | 120 print(index_names, elem[0], sep="\t") |
117 group["cats"][elem[0]] = index_names | 121 group["cats"][elem[0]] = index_names |
118 categories[tmp_cat[0]].append(group) | 122 categories[tmp_cat[0]].append(group) |
119 print(categories) | 123 print(categories) |
120 | 124 |
121 | 125 prepare_heatmap(args[1], args[2], args[3], |
122 prepare_heatmap(args[1], args[2], args[3], args[4], categories, args[5], args[6]) | 126 args[4], categories, args[5], args[6]) |