Mercurial > repos > mheinzl > fsd
comparison fsd.py @ 38:28fb192858ea draft
planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/fsd commit b8a2f7b7615b2bcd3b602027af31f4e677da94f6-dirty
| author | mheinzl |
|---|---|
| date | Mon, 03 Jun 2019 07:31:37 -0400 |
| parents | 67e34fc2b67a |
| children | 00f5ca6bb610 |
comparison
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| 37:67e34fc2b67a | 38:28fb192858ea |
|---|---|
| 280 ticks1 = map(str, ticks) | 280 ticks1 = map(str, ticks) |
| 281 if maximumX > 20: | 281 if maximumX > 20: |
| 282 ticks1[len(ticks1) - 1] = ">20" | 282 ticks1[len(ticks1) - 1] = ">20" |
| 283 | 283 |
| 284 if to_plot[l] == "Relative frequencies": | 284 if to_plot[l] == "Relative frequencies": |
| 285 counts_rel = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.8, rwidth=0.8, density=True, color=colors) | 285 counts_rel = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.6, rwidth=0.8, density=True, color=colors) |
| 286 else: | 286 else: |
| 287 counts = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.8, rwidth=0.8, color=colors) | 287 counts = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.6, rwidth=0.8, color=colors) |
| 288 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1)) | 288 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1)) |
| 289 | 289 |
| 290 ax.set_xticks(numpy.array(ticks)) | 290 ax.set_xticks(numpy.array(ticks)) |
| 291 ax.set_xticklabels(ticks1) | 291 ax.set_xticklabels(ticks1) |
| 292 | 292 |
| 334 x = [xi * 0.5 for xi in x] | 334 x = [xi * 0.5 for xi in x] |
| 335 w = 0.4 | 335 w = 0.4 |
| 336 else: | 336 else: |
| 337 x = [xi + barWidth for xi in x] | 337 x = [xi + barWidth for xi in x] |
| 338 w = 1./(len(list_to_plot) + 1) | 338 w = 1./(len(list_to_plot) + 1) |
| 339 | |
| 340 | |
| 341 #print(label[i]) | |
| 342 #print(colors[i]) | |
| 343 #print(w) | |
| 344 # | |
| 345 | |
| 346 #print(numpy.sum(y)) | |
| 347 #print(float(numpy.sum(y))) | |
| 348 #print(x) | |
| 349 #print(new_y.shape) | |
| 350 #new_y = numpy.array(new_y).reshape((len(new_y))) | |
| 351 #print(new_y.shape) | |
| 352 #print(new_y) | |
| 353 | |
| 354 | |
| 355 | |
| 356 #new_y_heights = [x[0] for x in new_y] | |
| 357 #print(new_y_heights) | |
| 358 #print(new_y.shape) | |
| 359 | 339 |
| 360 if to_plot[l] == "Relative frequencies": | 340 if to_plot[l] == "Relative frequencies": |
| 361 print("relative") | |
| 362 new_y = list(numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y])))) | 341 new_y = list(numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y])))) |
| 363 counts2_rel = ax.bar(x, new_y, align="edge", width=w, | 342 counts2_rel = ax.bar(x, new_y, align="edge", width=w, |
| 364 edgecolor="black", label=label[i],linewidth=1, alpha=0.8, color=colors[i]) | 343 edgecolor="black", label=label[i],linewidth=1, alpha=0.6, color=colors[i]) |
| 365 | 344 |
| 366 else: | 345 else: |
| 367 y = list(y.reshape((len(y)))) | 346 y = list(y.reshape((len(y)))) |
| 368 counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1, | 347 counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1, |
| 369 alpha=0.8, color=colors[i]) | 348 alpha=0.6, color=colors[i]) |
| 370 if i == len(list_to_plot2): | 349 if i == len(list_to_plot2): |
| 371 barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1) | 350 barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1) |
| 372 else: | 351 else: |
| 373 barWidth += 1. / (len(list_to_plot) + 1) | 352 barWidth += 1. / (len(list_to_plot) + 1) |
| 374 | 353 |