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comparison hd.py @ 31:8beced3064e3 draft

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planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/hd commit 033dd7b750f68e8aa68f327d7d72bd311ddbee4e-dirty
author mheinzl
date Wed, 14 Aug 2019 03:49:32 -0400
parents 46bfbec0f9e6
children b432cfa895ee
comparison
equal deleted inserted replaced
30:46bfbec0f9e6 31:8beced3064e3
238 else: 238 else:
239 legend = "nr. of tags = {:,}\nsample size = {:,}\nnr. of data points = {:,}".format( 239 legend = "nr. of tags = {:,}\nsample size = {:,}\nnr. of data points = {:,}".format(
240 lenTags, len_sample, len(numpy.concatenate(list1))) 240 lenTags, len_sample, len(numpy.concatenate(list1)))
241 plt.text(0.14, -0.07, legend, size=12, transform=plt.gcf().transFigure) 241 plt.text(0.14, -0.07, legend, size=12, transform=plt.gcf().transFigure)
242 242
243 legend2 = "SSCS ab = {:,}\nSSCS ba = {:,}\nDCS = {:,}".format(len(list1[1]), len(list1[2]), len(list1[0])) 243 legend2 = "SSCS ab = {:,} ({:.5f})\nSSCS ba = {:,} ({:.5f})\nDCS = {:,} ({:.5f})".format(
244 len(list1[1]), len(list1[1]) / float(nr_unique_chimeras),
245 len(list1[2]), len(list1[2]) / float(nr_unique_chimeras),
246 len(list1[0]), len(list1[0]) / float(nr_unique_chimeras))
244 plt.text(0.6, -0.047, legend2, size=12, transform=plt.gcf().transFigure) 247 plt.text(0.6, -0.047, legend2, size=12, transform=plt.gcf().transFigure)
245 248
246 pdf.savefig(fig, bbox_inches="tight") 249 pdf.savefig(fig, bbox_inches="tight")
247 plt.close("all") 250 plt.close("all")
248 plt.clf() 251 plt.clf()
1135 1138
1136 sample_half_a = tag1[0:(len(tag1)) / 2] 1139 sample_half_a = tag1[0:(len(tag1)) / 2]
1137 sample_half_b = tag1[len(tag1) / 2:len(tag1)] 1140 sample_half_b = tag1[len(tag1) / 2:len(tag1)]
1138 1141
1139 max_tags = data_chimeraAnalysis[i, 1] 1142 max_tags = data_chimeraAnalysis[i, 1]
1140 if len(max_tags) > 1 and type(max_tags) is not numpy.ndarray: 1143 if len(max_tags) > 1 and len(max_tags) != len(data_chimeraAnalysis[0, 1]) and type(max_tags) is not numpy.ndarray :
1141 max_tags = numpy.concatenate(max_tags) 1144 max_tags = numpy.concatenate(max_tags)
1142 max_tags = numpy.unique(max_tags) 1145 max_tags = numpy.unique(max_tags)
1143 stat_maxTags.append(len(max_tags)) 1146 stat_maxTags.append(len(max_tags))
1144 1147
1145 info_maxTags = [data_array[data_array[:, 1] == t, :] for t in max_tags] 1148 info_maxTags = [data_array[data_array[:, 1] == t, :] for t in max_tags]