Mercurial > repos > mheinzl > fsd
comparison fsd.py @ 39:00f5ca6bb610 draft
planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/fsd commit 5b3ab8c6467fe3a52e89f5a7d175bd8a0189018a-dirty
| author | mheinzl |
|---|---|
| date | Wed, 24 Jul 2019 05:35:35 -0400 |
| parents | 28fb192858ea |
| children | 54f0dac1c834 |
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| 38:28fb192858ea | 39:00f5ca6bb610 |
|---|---|
| 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=0.6, rwidth=0.8, density=True, color=colors) | 285 w = [numpy.zeros_like(data) + 1. / len(data) for data in list_to_plot2] |
| 286 counts_rel = ax.hist(list_to_plot2, weights=w, | |
| 287 bins=numpy.arange(1, 23), stacked=False, edgecolor="black", | |
| 288 linewidth=1, label=label, align="left", alpha=0.7, rwidth=0.8) | |
| 286 else: | 289 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=0.6, rwidth=0.8, color=colors) | 290 counts = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.7, rwidth=0.8, color=colors) |
| 288 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1)) | 291 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1)) |
| 289 | 292 |
| 290 ax.set_xticks(numpy.array(ticks)) | 293 ax.set_xticks(numpy.array(ticks)) |
| 291 ax.set_xticklabels(ticks1) | 294 ax.set_xticklabels(ticks1) |
| 292 | 295 |
| 336 else: | 339 else: |
| 337 x = [xi + barWidth for xi in x] | 340 x = [xi + barWidth for xi in x] |
| 338 w = 1./(len(list_to_plot) + 1) | 341 w = 1./(len(list_to_plot) + 1) |
| 339 | 342 |
| 340 if to_plot[l] == "Relative frequencies": | 343 if to_plot[l] == "Relative frequencies": |
| 341 new_y = list(numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y])))) | 344 counts2_rel = ax.bar(x, list(numpy.float_(y)) / numpy.sum(y), align="edge", width=w, |
| 342 counts2_rel = ax.bar(x, new_y, align="edge", width=w, | 345 edgecolor="black", label=label[i],linewidth=1, alpha=0.7, color=colors[i]) |
| 343 edgecolor="black", label=label[i],linewidth=1, alpha=0.6, color=colors[i]) | |
| 344 | 346 |
| 345 else: | 347 else: |
| 346 y = list(y.reshape((len(y)))) | 348 y = list(y.reshape((len(y)))) |
| 349 | |
| 347 counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1, | 350 counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1, |
| 348 alpha=0.6, color=colors[i]) | 351 alpha=0.7, color=colors[i]) |
| 349 if i == len(list_to_plot2): | 352 if i == len(list_to_plot2): |
| 350 barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1) | 353 barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1) |
| 351 else: | 354 else: |
| 352 barWidth += 1. / (len(list_to_plot) + 1) | 355 barWidth += 1. / (len(list_to_plot) + 1) |
| 353 | 356 |