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| int | _04e_boxplot_demo.spread = np.random.rand(50) * 100 |
| |
| int | _04e_boxplot_demo.center = np.ones(25) * 50 |
| |
| int | _04e_boxplot_demo.flier_high = np.random.rand(10) * 100 + 100 |
| |
| int | _04e_boxplot_demo.flier_low = np.random.rand(10) * -100 |
| |
| | _04e_boxplot_demo.data = np.concatenate((spread, center, flier_high, flier_low)) |
| |
| | _04e_boxplot_demo.fig |
| |
| | _04e_boxplot_demo.axs |
| |
| | _04e_boxplot_demo.left |
| |
| | _04e_boxplot_demo.right |
| |
| | _04e_boxplot_demo.bottom = -5 |
| |
| | _04e_boxplot_demo.top = 40 |
| |
| | _04e_boxplot_demo.hspace |
| |
| | _04e_boxplot_demo.wspace |
| |
| | _04e_boxplot_demo.d2 = np.concatenate((spread, center, flier_high, flier_low)) |
| |
| | _04e_boxplot_demo.ax |
| |
| list | _04e_boxplot_demo.random_dists |
| | plt.show() More...
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| |
| int | _04e_boxplot_demo.N = 500 |
| |
| | _04e_boxplot_demo.norm = np.random.normal(1, 1, N) |
| |
| | _04e_boxplot_demo.logn = np.random.lognormal(1, 1, N) |
| |
| | _04e_boxplot_demo.expo = np.random.exponential(1, N) |
| |
| | _04e_boxplot_demo.gumb = np.random.gumbel(6, 4, N) |
| |
| | _04e_boxplot_demo.tria = np.random.triangular(2, 9, 11, N) |
| |
| | _04e_boxplot_demo.bootstrap_indices = np.random.randint(0, N, N) |
| |
| | _04e_boxplot_demo.ax1 |
| |
| | _04e_boxplot_demo.figsize |
| |
| | _04e_boxplot_demo.bp = ax1.boxplot(data, notch=0, sym='+', vert=1, whis=1.5) |
| |
| | _04e_boxplot_demo.color |
| |
| | _04e_boxplot_demo.marker |
| |
| | _04e_boxplot_demo.True |
| |
| | _04e_boxplot_demo.linestyle |
| |
| | _04e_boxplot_demo.which |
| |
| | _04e_boxplot_demo.alpha |
| |
| | _04e_boxplot_demo.axisbelow |
| |
| | _04e_boxplot_demo.title |
| |
| | _04e_boxplot_demo.xlabel |
| |
| | _04e_boxplot_demo.ylabel |
| |
| list | _04e_boxplot_demo.box_colors = ['darkkhaki', 'royalblue'] |
| |
| | _04e_boxplot_demo.num_boxes = len(data) |
| |
| | _04e_boxplot_demo.medians = np.empty(num_boxes) |
| |
| | _04e_boxplot_demo.box = bp['boxes'][i] |
| |
| list | _04e_boxplot_demo.box_x = [] |
| |
| list | _04e_boxplot_demo.box_y = [] |
| |
| | _04e_boxplot_demo.box_coords = np.column_stack([box_x, box_y]) |
| |
| | _04e_boxplot_demo.med = bp['medians'][i] |
| |
| list | _04e_boxplot_demo.median_x = [] |
| |
| list | _04e_boxplot_demo.median_y = [] |
| |
| | _04e_boxplot_demo.markeredgecolor |
| |
| | _04e_boxplot_demo.rotation |
| |
| | _04e_boxplot_demo.fontsize |
| |
| int | _04e_boxplot_demo.pos = np.arange(num_boxes) + 1 |
| |
| list | _04e_boxplot_demo.upper_labels = [str(round(s, 2)) for s in medians] |
| |
| list | _04e_boxplot_demo.weights = ['bold', 'semibold'] |
| |
| int | _04e_boxplot_demo.k = tick % 2 |
| |
| | _04e_boxplot_demo.transform |
| |
| | _04e_boxplot_demo.horizontalalignment |
| |
| | _04e_boxplot_demo.size |
| |
| | _04e_boxplot_demo.weight |
| |
| | _04e_boxplot_demo.backgroundcolor |
| |
| float | _04e_boxplot_demo.inc = 0.1 |
| |
| | _04e_boxplot_demo.e1 = np.random.normal(0, 1, size=500) |
| |
| | _04e_boxplot_demo.e2 = np.random.normal(0, 1, size=500) |
| |
| | _04e_boxplot_demo.e3 = np.random.normal(0, 1 + inc, size=500) |
| |
| | _04e_boxplot_demo.e4 = np.random.normal(0, 1 + 2 * inc, size=500) |
| |
| list | _04e_boxplot_demo.treatments = [e1, e2, e3, e4] |
| |
| | _04e_boxplot_demo.med1 |
| |
| | _04e_boxplot_demo.ci1 |
| |
| | _04e_boxplot_demo.med2 |
| |
| | _04e_boxplot_demo.ci2 |
| |
| list | _04e_boxplot_demo.conf_intervals = [None, None, ci1, ci2] |
| |
| | _04e_boxplot_demo.markersize |
| |
1.8.20