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Some progress on subplots

master
tforest 2023-12-01 00:48:57 +01:00
parent 46a2990a2d
commit 43f689e764
1 changed files with 69 additions and 28 deletions
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swp2.py
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@ -5,6 +5,8 @@ import math
from scipy.special import gammaln from scipy.special import gammaln
from matplotlib.backends.backend_pdf import PdfPages from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.ticker import MaxNLocator from matplotlib.ticker import MaxNLocator
import io
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
def log_facto(k): def log_facto(k):
k = int(k) k = int(k)
@ -321,7 +323,7 @@ def plot_all_epochs_thetafolder(folder_path, mu, tgen, title = "Title", theta_sc
plt.title(title) plt.title(title)
plt.savefig(title+'_Breakpts_Likelihood_AIC.pdf') plt.savefig(title+'_Breakpts_Likelihood_AIC.pdf')
def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True, breaks_max = 12): def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True, breaks_max = 12, ax = None):
""" """
Use theta values as is to do basic plots. Use theta values as is to do basic plots.
""" """
@ -343,12 +345,16 @@ def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True,
my_dpi = 300 my_dpi = 300
# plt.figure(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi) # plt.figure(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
# multiple fig # multiple fig
fig, ax = plt.subplots(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi) if ax is None:
fig, ax1 = plt.subplots(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
# Add some extra space for the second axis at the bottom # Add some extra space for the second axis at the bottom
fig.subplots_adjust(bottom=0.15) fig.subplots_adjust(bottom=0.15)
twin = ax.twiny() else:
# Offset the right spine of twin2 ax1 = ax[0, 1]
# twin.spines.right.set_position(("axes", 1.2)) plt.subplots_adjust(wspace=0.3, hspace=0.3)
twin = ax1.twiny()
plots = [] plots = []
for epoch, theta in epochs.items(): for epoch, theta in epochs.items():
groups = np.array(list(theta.values()), dtype=object)[:, 1].tolist() groups = np.array(list(theta.values()), dtype=object)[:, 1].tolist()
@ -374,7 +380,7 @@ def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True,
y[i] = y[i]/N0 y[i] = y[i]/N0
# plot # plot
#plt.plot(x, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks') #plt.plot(x, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks')
p, = ax.plot(x, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks') p, = ax1.plot(x, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks')
# add plot to the list of all plots to superimpose # add plot to the list of all plots to superimpose
plots.append(p) plots.append(p)
# virtual line to get the second x axis for proportions # virtual line to get the second x axis for proportions
@ -383,17 +389,27 @@ def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True,
twin.xaxis.set_ticks_position("bottom") twin.xaxis.set_ticks_position("bottom")
twin.xaxis.set_label_position("bottom") twin.xaxis.set_label_position("bottom")
# Offset the twin axis below the host # Offset the twin axis below the host
twin.spines["bottom"].set_position(("axes", -0.1)) twin.spines["bottom"].set_position(("axes", -0.15))
#ax.legend(handles=[p0]+plots) #ax.legend(handles=[p0]+plots)
ax.set_xlabel("# breaks") ax1.set_xlabel("# breaks")
# Set the x-axis locator to reduce the number of ticks = 10 # Set the x-axis locator to reduce the number of ticks to 10
ax.xaxis.set_major_locator(MaxNLocator(nbins=10)) ax1.xaxis.set_major_locator(MaxNLocator(nbins=10))
ax.set_ylabel("theta") ax1.set_ylabel("theta")
# twin.set_ylabel("Proportion") # twin.set_ylabel("Proportion")
plt.legend(handles=plots, loc='upper right') plt.legend(handles=plots, loc='upper right')
if ax is None:
plt.savefig(title+'_raw'+str(k)+'.pdf') plt.savefig(title+'_raw'+str(k)+'.pdf')
# fig 2 & 3 # fig 2 & 3
plt.figure(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi) if ax is None:
fig2, ax2 = plt.subplots(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
fig3, ax3 = plt.subplots(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
else:
# place of plots on the grid
ax2 = ax[1,0]
ax3 = ax[1,1]
lines_fig2 = []
lines_fig3 = []
#plt.figure(figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
for epoch, theta in epochs.items(): for epoch, theta in epochs.items():
groups = np.array(list(theta.values()), dtype=object)[:, 1].tolist() groups = np.array(list(theta.values()), dtype=object)[:, 1].tolist()
x = [] x = []
@ -415,18 +431,30 @@ def plot_test_theta(folder_path, mu, tgen, title = "Title", theta_scale = True,
T += y[i] / (x[i]*(x[i]-1)) T += y[i] / (x[i]*(x[i]-1))
x_2.append(T) x_2.append(T)
# Plotting (fig 2) # Plotting (fig 2)
plt.plot(x_2, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks') p2, = ax2.plot(x_2, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks')
plt.xlabel("# breaks") lines_fig2.append(p2)
plt.ylabel("theta")
plt.legend(loc='upper right')
plt.savefig(title+'_plot2_'+str(k)+'.pdf')
# Plotting (fig 3) which is the same but log scale for x # Plotting (fig 3) which is the same but log scale for x
plt.plot(x_2, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks') p3, = ax3.plot(x_2, y, 'o', linestyle="dotted", alpha=0.75, lw=2, label = str(epoch)+' brks')
plt.xscale('log') lines_fig3.append(p3)
plt.xlabel("# breaks") ax2.set_xlabel("# breaks")
plt.ylabel("theta") ax2.set_ylabel("theta")
plt.legend(loc='upper right') ax2.set_title("Test")
ax2.legend(handles=lines_fig2, loc='upper right')
if ax is None:
plt.savefig(title+'_plot2_'+str(k)+'.pdf')
ax3.set_xscale('log')
ax3.set_xlabel("log()")
ax3.set_ylabel("theta")
ax3.set_title("Test")
ax3.legend(handles=lines_fig3, loc='upper right')
if ax is None:
plt.savefig(title+'_plot3_'+str(k)+'_log.pdf') plt.savefig(title+'_plot3_'+str(k)+'_log.pdf')
# return plots
return ax
def save_combined_pdf(output_path):
with PdfPages(output_path) as pdf:
pdf.savefig()
def save_multi_image(filename): def save_multi_image(filename):
pp = PdfPages(filename) pp = PdfPages(filename)
@ -437,9 +465,22 @@ def save_multi_image(filename):
pp.close() pp.close()
def combined_plot(folder_path, mu, tgen, breaks, title = "Title", theta_scale = True): def combined_plot(folder_path, mu, tgen, breaks, title = "Title", theta_scale = True):
plot_all_epochs_thetafolder(folder_path, mu, tgen, title, theta_scale) # plot1, plot2, plot3 = plot_all_epochs_thetafolder(folder_path, mu, tgen, title, theta_scale)
plot_test_theta(folder_path, mu, tgen, title, theta_scale, breaks_max = breaks) my_dpi = 300
save_multi_image(title+"_combined.pdf") # Add some extra space for the second axis at the bottom
fig, axs = plt.subplots(2, 2, figsize=(5000/my_dpi, 2800/my_dpi), dpi=my_dpi)
ax = plot_test_theta(folder_path, mu, tgen, title, theta_scale, breaks_max = breaks, ax = axs)
# Adjust layout to prevent clipping of titles
plt.tight_layout()
# Adjust absolute space between the top and bottom rows
plt.subplots_adjust(hspace=0.35) # Adjust this value based on your requirement
# Save the entire grid as a single figure
plt.savefig(title+'_combined.pdf')
if __name__ == "__main__": if __name__ == "__main__":
if len(sys.argv) != 4: if len(sys.argv) != 4: