| #!/usr/bin/python |
| """Small functions to help with plots""" |
| |
| from matplotlib import pyplot as plt |
| |
| GOLDEN_RATIO = 1.618034 |
| |
| def set_plot_size(width, height): |
| """Set the plot size. |
| |
| This has to be called before calls to .plot() |
| """ |
| if height is None: |
| if width is None: |
| height = 6 |
| width = 10 |
| else: |
| height = width / GOLDEN_RATIO |
| else: |
| if width is None: |
| width = height * GOLDEN_RATIO |
| |
| plt.figure(figsize=(width, height)) |
| |
| def normalize_title(title, opt_title): |
| """ |
| Return a string with that contains the title and opt_title if it's not the empty string |
| |
| See test_normalize_title() for usage |
| """ |
| if opt_title is not "": |
| title = opt_title + " - " + title |
| |
| return title |
| |
| def set_lim(lim, get_lim, set_lim): |
| """Set x or y limitis of the plot |
| |
| lim can be a tuple containing the limits or the string "default" |
| or "range". "default" does nothing and uses matplotlib default. |
| "range" extends the current margin by 10%. This is useful since |
| the default xlim and ylim of the plots sometimes make it harder to |
| see data that is just in the margin. |
| |
| """ |
| if lim == "default": |
| return |
| |
| if lim == "range": |
| cur_lim = get_lim() |
| lim = (cur_lim[0] - 0.1 * (cur_lim[1] - cur_lim[0]), |
| cur_lim[1] + 0.1 * (cur_lim[1] - cur_lim[0])) |
| |
| set_lim(lim[0], lim[1]) |
| |
| def set_xlim(ax, xlim): |
| """Set the xlim of the plot |
| |
| See set_lim() for the details |
| """ |
| set_lim(xlim, ax.get_xlim, ax.set_xlim) |
| |
| def set_ylim(ax, ylim): |
| """Set the ylim of the plot |
| |
| See set_lim() for the details |
| """ |
| set_lim(ylim, ax.get_ylim, ax.set_ylim) |
| |
| def pre_plot_setup(width=None, height=None): |
| """initialize a figure |
| |
| width and height are numbers This function should be called before |
| any calls to plot() |
| """ |
| |
| set_plot_size(width, height) |
| |
| _, ax = plt.subplots() |
| |
| return ax |
| |
| def post_plot_setup(ax, title="", xlabel=None, xlim="default", ylim="range"): |
| """Set xlabel, title, xlim adn ylim of the plot |
| |
| This has to be called after calls to .plot(). The default ylim is |
| to extend it by 10% because matplotlib default makes it hard |
| values that are close to the margins |
| |
| """ |
| |
| if xlabel is None: |
| xlabel = "Time" |
| plt.xlabel(xlabel) |
| |
| if title: |
| plt.title(title) |
| |
| set_ylim(ax, ylim) |
| set_xlim(ax, xlim) |
| |
| def plot_allfreqs(in_power, out_power, map_label, title="", width=None, height=None): |
| """Do allfreqs plots similar to those of CompareRuns""" |
| import power |
| |
| all_freqs = power.get_all_freqs_data(in_power, out_power, map_label) |
| |
| for label, dfr in all_freqs.iteritems(): |
| this_title = normalize_title("allfreqs " + label, title) |
| |
| ax = pre_plot_setup(width=width, height=height) |
| dfr.plot(ax=ax) |
| post_plot_setup(ax, title=this_title) |