# 需要导入模块: from matplotlib import pyplot [as 别名]# 或者: from matplotlib.pyplot importhlines[as 别名]defshow_iter_hist(fname, maxiter, nruns):""" Helper routine to visualize the maximal iteration number across the simulation in a histogram Args: stats (dict): statistics object fname ...
# 需要导入模块: from matplotlib import pyplot [as 别名]# 或者: from matplotlib.pyplot importhold[as 别名]defhist(data):"""Convenience method to do all the plotting gymnastics to get a resonable looking histogram plot. Input: data - numpy array in gdal format - (bands, x, y) Returns: ...
mu, sigma = 100, 15 x = mu + sigma * np.random.randn(10000) # the histogram of the data n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75) plt.xlabel('Smarts') plt.ylabel('Probability') plt.title('Histogram of IQ') plt.text(60, .025, r'$\mu=100...
('Now do a nested zoom, click to begin') plt.waitforbuttonpress() while True: tellme('Select two corners of zoom, middle mouse button to finish') pts = plt.ginput(2, timeout=-1) if len(pts) < 2: break (x0, y0), (x1, y1) = pts xmin, xmax = sorted([x0, x1]) ymin...
matplotlib.pyplot.hist-- histogram plot matplotlib.pyplot.errorbar-- errorbar plot mpl_toolkits.mplot3d.axes3d.Axes3D.plot_surface-- surface plot mpl_toolkits.mplot3d.axes3d.Axes3D.plot_wireframe-- 3D wireframe Example The following example generates a plot of the sine function: ...
def show_iter_hist(fname, maxiter, nruns): """ Helper routine to visualize the maximal iteration number across the simulation in a histogram Args: stats (dict): statistics object fname (str): filename maxiter: maximal iterations per run nruns: number of runs """ # create plot and save...
Examples taken fromhttp://matplotlib.org/examples/pylab_examplesand then rewritten in Elixir to use this Expyplot. To run the examples, start an iex -S mix session and run: Code.load_file"./path/to/example/EXAMPLE.exs" Histogram defmoduleHistogramExampledoaliasExpyplot.Plot{mu,sigma}={100,...
def hexbin_alex(d, i=0, vmin=1, vmax=None, gridsize=80, cmap='Spectral_r', E_name='E', S_name='S', **hexbin_kwargs): """Plot an hexbin 2D histogram for E-S. """ if d.num_bursts[i] < 1: return hexbin_kwargs_ = dict(edgecolor='none', linewidth=0.2, gridsize=gr...
mean_module_energy = np.array(total_module_energy)/cut_event_numb# draw histogram# plt.bar(np.arange(1,15,1), mean_module_energy/energy,# yerr=np.array(bin_error)/energy, # value of error bars# width=1, fill=False, edgecolor=histedgecolor, alpha = transparency, label=str(energy)+"...
xlabel("Time (s)")### Histogram plots# 开发者ID:tritemio,项目名称:FRETBursts,代码行数:25,代码来源:burst_plot.py 示例2: test_scheduler ▲点赞 6▼ # 需要导入模块: from matplotlib import pyplot [as 别名]# 或者: from matplotlib.pyplot importvlines[as 别名]deftest_scheduler(self):epochs ...