I am creating a 2D matplotlib plot (i and j coordinates) which contains 10 subplots. Each subplot contains 150 by 150 grid cell data. How can I insert a small black-colored square mark (3 by 3 ) somewhere fixed (center at coordinates 62 and 62 ) on each generated heatmap sub-plot across those 10 sub-plots? The square mark would therefore contain 10 blocks from 60 to 64 in both x and y direction and contains a written text "Sale 1" centered at x 62 and y 62. My code below does not generate any patches. Any feedback is greatly appreciated.
from matplotlib.patches import Rectangle
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import r2_score, median_absolute_error
import os
import matplotlib.cm as cm
from mpl_toolkits import axes_grid1
import matplotlib.pyplot as plt
#import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.colors
import matplotlib.colors as colors
data = np.random.rand(10, 150, 150)
data = data.reshape(-1, 1)
property = "Sale"
pmin = data.min()
pmax = data.max()
v = np.linspace(round(pmin,3), round(pmax,3),15, endpoint=True)
v = [round(x,3) for x in v]
fig, ax = plt.subplots(2, 5, figsize=(160, 80))
row_count = 0
col_count = 0
for i in range(10):
sub_plot_data = data[(i)*(150*150):(i 1)*150*150]
x = 150
y = 150
#--------------------------- Define the map boundary ----------------------
xmin = 1258096.6
xmax = 1291155.0
ymin = 11251941.6
ymax = 11285000.0
pmin = min(sub_plot_data)
pmax = max(sub_plot_data)
# --------------------------- define color bar for Discrete color
bounds = np.linspace(-1, 1, 10)
Discrete_colors = plt.get_cmap('jet')(np.linspace(0,1,len(bounds) 1))
# create colormap without the outmost colors
cmap = mcolors.ListedColormap(Discrete_colors[1:-1]) #
actual_2d = np.reshape(sub_plot_data,(y,x))
im1 = ax[row_count, col_count].imshow(actual_2d, interpolation=None, cmap=cmap,
extent=(xmin, xmax, ymin, ymax), vmin=pmin, vmax=pmax)
plt.text(actual_2d[62, 62], actual_2d[62, 62], '%s' % 'Sale_1',
horizontalalignment='center', verticalalignment='center', color= 'black', fontsize= 90)
ax[row_count, col_count].set_title("Sale_Stores-%s - L: %s"%(i 1, layer),
fontsize=130, pad=44, x=0.5, y=0.999) # new
ax[row_count, col_count].set_aspect('auto')
ax[row_count, col_count].tick_params(left=False, labelleft=False, top=False,
labeltop=False, right=False, labelright=False, bottom=False, labelbottom=False) # new
#ax[row_count, col_count] = plt.gca()
plt.gca().add_patch(Rectangle((60, 60), 3, 3, edgecolor='black',
facecolor='black',fill=True,lw=2))
ax[row_count, col_count].add_patch(plt.text(62, 62, '%s' % 'Sale_1',
horizontalalignment='center', verticalalignment='center', color= 'black', fontsize= 90))
col_count =1
if col_count == 5:
row_count =1
col_count =0
fig.tight_layout(h_pad=10)
plt.subplots_adjust(left=0.02,
bottom=0.1,
right=0.91,
top=0.8,
wspace=0.1,
hspace=0.2)
cbaxes = fig.add_axes([0.94, 0.05, 0.02, 0.8])
cbar = fig.colorbar(im1, ax=ax.ravel().tolist(), ticks=v, extend='both', cax =cbaxes)
cbar.ax.tick_params(labelsize=70)
#cbar.set_ticks(v)
cbar.ax.set_yticklabels([i for i in v], fontsize=120)
output_dir = r"D/test"
plot_dir = os.path.join(output_dir, reservoir_property)
if not os.path.exists(plot_dir):
os.makedirs(plot_dir)
fig.savefig(r"%s/per_allmodel.png"%(plot_dir))
CodePudding user response：
I tried your code and made a couple of modifications: first, the graph size was too huge and caused errors, so I made it smaller; second, I simplified the subplots: axes has a list of subplot objects, so I took them out with axes.flat; third The second is modifying the text as annotations. The graph size has been reduced and the font size and spacing have been adjusted, so please modify it yourself. Finally, tick_params is not set since the color bar ticks are disabled.
fig, axes = plt.subplots(2, 5, figsize=(16, 8))
row_count = 0
col_count = 0
for i,ax in enumerate(axes.flat):
sub_plot_data = data[(i)*(150*150):(i 1)*150*150]
x = 150
y = 150
#--------------------------- Define the map boundary ----------------------
xmin = 1258096.6
xmax = 1291155.0
ymin = 11251941.6
ymax = 11285000.0
pmin = min(sub_plot_data)
pmax = max(sub_plot_data)
# --------------------------- define color bar for Discrete color
bounds = np.linspace(-1, 1, 10)
Discrete_colors = plt.get_cmap('jet')(np.linspace(0,1,len(bounds) 1))
# create colormap without the outmost colors
cmap = mcolors.ListedColormap(Discrete_colors[1:-1]) #
actual_2d = np.reshape(sub_plot_data,(y,x))
#im = ax.imshow(actual_2d, interpolation=None, cmap=cmap, extent=(xmin, xmax, ymin, ymax), vmin=pmin, vmax=pmax)
im = ax.imshow(actual_2d, interpolation=None, cmap=cmap)
ax.text(actual_2d[62, 62], actual_2d[62, 62]-10, '%s' % 'Sale_1',
horizontalalignment='center', verticalalignment='center', color= 'black', fontsize=18)
ax.set_title("Sale_Stores-%s - L: %s"%(i 1, 1), fontsize=14, pad=30, x=0.5, y=0.999)
ax.set_aspect('auto')
ax.add_patch(Rectangle((60, 60), 6, 6, edgecolor='red', facecolor='red', fill=True, lw=2))
ax.text(62, 62, '%s' % 'Sale_1', ha='center', va='center', color='black', fontsize=14)
fig.tight_layout(h_pad=10)
plt.subplots_adjust(left=0.02,
bottom=0.1,
right=0.91,
top=0.8,
wspace=0.1,
hspace=0.5)
cbaxes = fig.add_axes([0.94, 0.05, 0.02, 0.8])
cbar = fig.colorbar(im, ax=axes.flat, ticks=v, extend='both', cax=cbaxes)
cbar.ax.tick_params(labelsize=10)
#cbar.set_ticks(v)
cbar.ax.set_yticklabels([str(i) for i in v], fontsize=12)
#plt.tick_params(left=False, labelleft=False, top=False, labeltop=False, right=False, labelright=False, bottom=False, labelbottom=False)
plt.show()
