Mercurial > repos > proteore > proteore_venn_diagram
annotate venn_diagram.py @ 1:760470ddb9ca draft
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author | proteore |
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date | Fri, 16 Feb 2018 03:37:16 -0500 |
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children | 145f347dc0e1 |
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1 #!/usr/bin/env python2.7 |
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2 |
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3 import os |
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4 import sys |
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5 import json |
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6 import operator |
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7 import argparse |
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8 import re |
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9 from itertools import combinations |
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10 |
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11 CURRENT_DIR = os.path.dirname(os.path.abspath(__file__)) |
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12 |
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13 ################################################################################################################################################## |
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14 # FUNCTIONS |
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15 ################################################################################################################################################## |
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16 |
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17 def isnumber(format, n): |
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18 """ |
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19 Check if an element is integer or float |
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20 """ |
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21 float_format = re.compile("^[\-]?[1-9][0-9]*\.?[0-9]+$") |
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22 int_format = re.compile("^[\-]?[1-9][0-9]*$") |
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23 test = "" |
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24 if format == "int": |
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25 test = re.match(int_format, n) |
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26 elif format == "float": |
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27 test = re.match(float_format, n) |
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28 if test: |
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29 return True |
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30 else: |
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31 return False |
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32 |
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33 def input_to_dict(inputs): |
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34 """ |
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35 Parse input and return a dictionary of name and data of each lists/files |
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36 """ |
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37 comp_dict = {} |
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38 title_dict = {} |
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39 c = ["A", "B", "C", "D", "E", "F"] |
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40 for i in range(len(inputs)): |
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41 input_file = inputs[i][0] |
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42 name = inputs[i][1] |
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43 input_type = inputs[i][2] |
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44 title = c[i] |
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45 title_dict[title] = name |
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46 ids = set() |
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47 if input_type == "file": |
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48 header = inputs[i][3] |
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49 ncol = inputs[i][4] |
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50 file_content = open(input_file, "r").readlines() |
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51 |
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52 # Check if column number is in right form |
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53 if isnumber("int", ncol.replace("c", "")): |
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54 if header == "true": |
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55 file_content = [x.strip() for x in [line.split("\t")[int(ncol.replace("c", ""))-1].split(";")[0] for line in file_content[1:]]] # take only first IDs |
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56 else: |
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57 file_content = [x.strip() for x in [line.split("\t")[int(ncol.replace("c", ""))-1].split(";")[0] for line in file_content]] # take only first IDs |
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58 #print(file_content[1:13]) |
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59 else: |
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60 raise ValueError("Please fill in the right format of column number") |
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61 else: |
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62 ids = set() |
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63 file_content = inputs[i][0].split() |
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64 |
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65 ids.update(file_content) |
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66 comp_dict[title] = ids |
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67 |
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68 return comp_dict, title_dict |
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69 |
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70 def intersect(comp_dict): |
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71 """ |
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72 Calculate the intersections of input |
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73 """ |
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74 names = set(comp_dict) |
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75 for i in range(1, len(comp_dict) + 1): |
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76 for group in combinations(sorted(comp_dict), i): |
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77 others = set() |
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78 [others.add(name) for name in names if name not in group] |
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79 difference = [] |
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80 intersected = set.intersection(*(comp_dict[k] for k in group)) |
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81 n = "".join(group) |
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82 if len(others) > 0: |
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83 difference = intersected.difference(set.union(*(comp_dict[k] for k in others))) |
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84 yield group, list(intersected), list(difference) |
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85 |
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86 def diagram(comp_dict, title_dict): |
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87 """ |
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88 Create json string for jvenn diagram plot |
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89 """ |
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90 result = {} |
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91 result["name"] = {} |
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92 for k in comp_dict.keys(): |
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93 result["name"][k] = title_dict[k] |
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94 |
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95 result["data"] = {} |
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96 result["values"] = {} |
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97 for group, intersected, difference in intersect(comp_dict): |
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98 if len(group) == 1: |
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99 result["data"]["".join(group)] = difference |
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100 result["values"]["".join(group)] = len(difference) |
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101 elif len(group) > 1 and len(group) < len(comp_dict): |
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102 result["data"]["".join(group)] = difference |
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103 result["values"]["".join(group)] = len(difference) |
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104 elif len(group) == len(comp_dict): |
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105 result["data"]["".join(group)] = intersected |
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106 result["values"]["".join(group)] = len(intersected) |
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107 |
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108 return result |
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109 |
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110 def write_text_venn(json_result): |
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111 """ |
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112 Write intersections of input to text output file |
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113 """ |
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114 output = open("venn_diagram_text_output.txt", "w") |
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115 string = "" |
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116 lines = [] |
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117 result = dict((k, v) for k, v in json_result["data"].iteritems() if v != []) |
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118 print(result) |
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119 max_count = max(len(v) for v in result.values()) |
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120 print(max_count) |
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121 for i in range(max_count): |
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122 lines.append("") |
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123 |
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124 for i in range(max_count): |
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125 header = "" |
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126 for d in range(len(result.keys())): |
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127 data = result.keys()[d] |
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128 name = "_".join([json_result["name"][x] for x in data]) |
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129 header += name + "\t" |
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130 if len(result[data]) > i: |
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131 lines[i] += result[data][i] + "\t" |
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132 else: |
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133 lines[i] += "\t" |
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134 string += header + "\n" |
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135 string += "\n".join(lines) |
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136 print(string) |
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137 output.write(string) |
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138 output.close() |
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139 |
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140 def write_summary( summary_file, inputs): |
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141 """ |
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142 Paste json string into template file |
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143 """ |
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144 a, b = input_to_dict(inputs) |
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145 data = diagram(a, b) |
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146 write_text_venn(data) |
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147 |
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148 to_replace = { |
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149 "series": [data], |
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150 "displayStat": "true", |
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151 "displaySwitch": "true", |
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152 "shortNumber": "true", |
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153 } |
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154 |
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155 FH_summary_tpl = open(os.path.join(CURRENT_DIR, "jvenn_template.html")) |
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156 FH_summary_out = open(summary_file, "w" ) |
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157 for line in FH_summary_tpl: |
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158 if "###JVENN_DATA###" in line: |
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159 line = line.replace("###JVENN_DATA###", json.dumps(to_replace)) |
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160 FH_summary_out.write(line) |
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161 |
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162 FH_summary_out.close() |
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163 FH_summary_tpl.close() |
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164 |
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165 def process(args): |
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166 write_summary(args.summary, args.input) |
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167 |
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168 |
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169 ################################################################################################################################################## |
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170 # MAIN |
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171 ################################################################################################################################################## |
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172 if __name__ == '__main__': |
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173 # Parse parameters |
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174 parser = argparse.ArgumentParser(description='Filters an abundance file') |
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175 group_input = parser.add_argument_group( 'Inputs' ) |
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176 group_input.add_argument('--input', nargs="+", action="append", required=True, help="The input tabular file.") |
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177 group_output = parser.add_argument_group( 'Outputs' ) |
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178 group_output.add_argument('--summary', default="summary.html", help="The HTML file containing the graphs. [Default: %(default)s]") |
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179 args = parser.parse_args() |
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180 |
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181 # Process |
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182 process( args ) |