Module Plotting

source code

Imports: sets, dist, entropy, sci, contourf, frange, fft2, rec2csv, ylabel, norm, MultipleLocator, mlab, rec_append_field, mpl, rc, thetagrids, cool, window_hanning, FormatStrFormatter, longest_contiguous_ones, get_plot_commands, fftn, ishold, Circle, spectral, YearLocator, axes, polyfit, axvline, irfftn, twiny, twinx, num2epoch, matplotlib, plot_singvals, l2norm, rgrids, legend, box, irfft2, levypdf, IndexDateFormatter, MO, LogLocator, broken_barh, HourLocator, l1norm, ginput, ColorWheel, FR, fftshift, num2date, silent_list, plot_eigval_spectrum, ifftn, plot, fromfunction_kw, PolarAxes, xticks, clabel, rk4, fftfreq, ifft2, vlines, flag, hold, sample, ma, Text, det, SU, DateLocator, SA, scatter, Normalize, spy, MinuteLocator, quiver, basic_symbols, figure, get_sparse_matrix, setp, DAILY, irefftn, autumn, rms_flat, get_scale_docs, gca, winter, gcf, gci, csd, RRuleLocator, hot, exception_to_str, eigvalsh, pinv, griddata, pink, reset_vals_cw, irefft2, colormaps, pylab_setup, TickHelper, barbs, xlim, MONTHLY, over, fft, window_none, Widget, disconnect, clf, stineman_interp, cla, strpdate2num, subplot_tool, SECONDLY, suptitle, get_backend, matrix_power, scipy, quiverkey, is_numlike, waitforbuttonpress, relativedelta, MonthLocator, tensorinv, dist_point_to_segment, bone, LogFormatter, poly_below, isvector, connect, PlotEigenvalueSpectrum, plot_eigvect, IndexLocator, mfuncC, rem, plotting, log2, date2num, rec_join, acorr, Line2D, semilogx, semilogy, yticks, epoch2num, copper, irfft, ranf, subplots_adjust, fill_between, Axes, MaxNLocator, rank, plot_priors, figimage, jet, figaspect, imshow, axhline, mean_flat, ispower2, LogFormatterExponent, ihfft, detrend_none, liaupunov, sum_flat, prctile_rank, segments_intersect, pcolor, xlabel, interactive, subplot, isinteractive, eigvals, close, clim, ylim, binary_repr, figlegend, demean, FixedFormatter, boxplot, SecondLocator, warnings, Button, amap, distances_along_curve, axvspan, FuncFormatter, WE, popd, text, random, colors, find, FigureCanvasBase, cholesky, title, axhspan, center_matrix, plotfile, get, gray, qr, bar, ioff, lstsq, loglog, rcParamsDefault, fftsurr, hfft, basic_colors, refftn, prctile, LogFormatterMathtext, imread, barh, DayLocator, Formatter, is_string_like, contour, NullFormatter, get_xyz_where, hist, bivariate_normal, detrend_linear, detrend, AutoLocator, refft2, WEEKLY, plot_eigvals, DateFormatter, Locator, LinAlgError, orth, xcorr, rec_drop_fields, prepca, load, cm, solve, figtext, norm_flat, table, cohere, normpdf, Rectangle, approx_real, rfftn, axis, switch_backend, longest_ones, path_length, basic_lines, csv2rec, colorbar, rfft2, eig, Polygon, conv, cond, WeekdayLocator, poly_between, getp, dedent, polyval, SubplotTool, drange, sys, ion, identity, refft, ifft, Figure, trapz, add_newdocs, rcParams, summer, hexbin, Arrow, savefig, detrend_mean, get_current_fig_manager, bench, hlines, save, Annotation, get_scale_names, psd, datestr2num, xscale, grid, vector_lengths, plot_date, pcolormesh, SloppyCell, spring, NullLocator, rcdefaults, rfft, rrule, matshow, MINUTELY, ifftshift, inside_poly, Artist, is_closed_polygon, iterable, LinearLocator, plt, arrow, stem, step, np, hsv, diagonal_matrix, mx2num, Residuals, ScalarFormatter, exp_safe, annotate, normalize, sqrtm, get_cmap, HOURLY, irefft, findobj, slopes, flatten, YEARLY, yscale, inv, specgram, pie, vals_cW, fill, Tester, TU, Slider, prism, TH, test, polar, draw, errorbar, delaxes, movavg, svd, colorbar_doc, base_repr, eigh, FixedLocator, tensorsolve, Network_mod, logging

Plot the data in the given experiments for the given model.

Note: You may need to run a Plotting.show() to display the plot.

Inputs:
  model: Model whose experiments to plot
  expts: List of experiment IDs to plot
  style: Style of plot. Currently supported options are:
      'errorbars': Plots points and bars for each data point
      'lines': Plots a continuous line for the data
  show_legend: Boolean that control whether or not to show the legend
  loc: Location of the legend. See help(Plotting.legend) for options.

Plot the fits to the given experiments for the last cost evalution of the
model.

Note: You may need to run a Plotting.show() to display the plot.

Inputs:
  model: Model whose results to plot
  expts: List of experiment IDs to plot, if None is specified, all 
         experiments are plotted
  style: Style of plot. Currently supported options are:
          'errorbars': Plots points and bars for each data point
          'lines': Plots a continuous line for the data
  show_legend: Boolean that control whether or not to show the legend
  loc: Location of the legend. See help(Plotting.legend) for options.
  plot_data: Boolean that controls whether the data is plotted
  plot_trajectories: Boolean that controls whether the trajectories are
                     plotted
  data_to_plot: If None, all data variables will be plotted. Otherwise,
                   pass a list of id's and only variables in  that list
                   will be plotted.

Plot the fits to the given experiments over an ensemble. 

Note that this recalculates the cost for every member of the ensemble, so
 it may be very slow. Filtering correlated members from the ensemble is
 strongly recommended.

Inputs:
  model: Model whose results to plot
  ensemble: Parameter ensemble
  expts: List of experiment IDs to plot, if None is specified, all 
         experiments are plotted
  style: Style of plot. Currently supported options are:
          'errorbars': Plots points and bars for each data point
          'lines': Plots a continuous line for the data
  show_legend: Boolean that control whether or not to show the legend
  loc: Location of the legend. See help(Plotting.legend) for options.
  plot_data: Boolean that controls whether the data is plotted
  plot_trajectories: Boolean that controls whether the trajectories are
                     plotted

Plot the results of a Network ensemble.

Inputs:
 best_traj -- Best-fit trajectory
 mean_traj -- Mean trajectory
 std_traj -- Trajectory of standard deviations
 std_devs -- Number of standard deviations to draw bounds at
 vars -- List of variable ids to plot the bounds for

 show_legend -- Boolean to show a legend or not
 loc -- Location code for legend