hope you are doing well,
So, I am currently working in some plot that looks like this:
I need the red region to be (white!, and therefore covering) over everything that is plotted before that lines of code. This way I would mask out all the middle of the arrows. The problem is that the portion I am filling in with red (I would like it to be white) is kind of transparent, even though I am setting alpha=1.0.
The code below:
import numpy as np
from scipy.stats import norm
import matplotlib as mpl
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from matplotlib import rc, font_manager
import matplotlib.colors as colors
rc('text', usetex=True)
plt.rc('font', family='serif')
#plt.rcParams.update({'font.size': 18})
xminlim = 0.0
xmaxlim = 1.0
yminlim = 0.0
ymaxlim = 1.0
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(8,15))
# first row
row_y_1 = 0.8
col_x_11 = 0.1
col_x_12 = 0.175
col_x_13 = 0.25
col_x_14 = 0.325
col_x_15 = 0.4
col_x_16 = 0.475
col_x_17 = 0.55
col_x_18 = 0.625
col_x_19 = 0.7
col_x_1N = 0.9
row1_vect= [col_x_11,col_x_12,col_x_13,col_x_14,col_x_15,col_x_16,col_x_17,col_x_18,col_x_19,col_x_1N]
for posx in row1_vect:
plt.scatter(posx, row_y_1, marker= 'o',facecolors='none', s = 300, color='black')
plt.scatter(0.75, row_y_1,color='black',marker = 'o',s = 20)
plt.scatter(0.80, row_y_1,color='black',marker = 'o',s = 20)
plt.scatter(0.85, row_y_1,color='black',marker = 'o',s = 20)
# second row
row_y_2 = 0.7
col_x_21 = 0.175
col_x_22 = 0.250
col_x_23 = 0.325
col_x_24 = 0.400
col_x_25 = 0.475
col_x_26 = 0.550
col_x_27 = 0.625
col_x_2N = 0.850
row2_vect= [col_x_21,col_x_22,col_x_23,col_x_24,col_x_25,col_x_26,col_x_27,col_x_2N]
delta = 0.013
for origin in row1_vect:
for destiny in row2_vect:
ax.annotate("",xy=(destiny,row_y_2+delta), xycoords='data',xytext=(origin, row_y_1-delta), textcoords='data',
arrowprops=dict(arrowstyle="->",connectionstyle="arc3"),)
for posx in row2_vect:
plt.scatter(posx, row_y_2, marker= 'o',facecolors="none", s = 300, color='black')
plt.scatter(0.68125, row_y_2,color='black',marker = 'o', s = 20)
plt.scatter(0.7375 , row_y_2,color='black',marker = 'o', s = 20)
plt.scatter(0.79375, row_y_2,color='black',marker = 'o', s = 20)
# last-1 row
row_y_last_1 = 0.3
col_x_l1 = 0.25
col_x_l2 = 0.33
col_x_l3 = 0.41
col_x_l4 = 0.50
col_x_l5 = 0.58
col_x_l6 = 0.66
col_x_l7 = 0.75
row1_vect= [col_x_21,col_x_22,col_x_23,col_x_24,col_x_25,col_x_26,col_x_27,col_x_2N]
row2_vect= [col_x_l1,col_x_l2,col_x_l3,col_x_l4,col_x_l5,col_x_l6,col_x_l7]
delta = 0.013
for origin in row1_vect:
for destiny in row2_vect:
ax.annotate("",xy=(destiny,row_y_last_1+delta), xycoords='data',xytext=(origin, row_y_2-delta), textcoords='data',
arrowprops=dict(arrowstyle="->",connectionstyle="arc3"),)
for posx in row2_vect:
plt.scatter(posx, row_y_last_1, marker= 'o',facecolors="none", s = 300, color='black')
# last row
row_y_last = 0.2
col_x_21 = 0.3
col_x_22 = 0.38
col_x_23 = 0.46
col_x_24 = 0.54
col_x_25 = 0.62
col_x_26 = 0.7
row1_vect= [col_x_l1,col_x_l2,col_x_l3,col_x_l4,col_x_l5,col_x_l6,col_x_l7]
row2_vect= [col_x_21,col_x_22,col_x_23,col_x_24,col_x_25,col_x_26]
delta = 0.013
for origin in row1_vect:
for destiny in row2_vect:
ax.annotate("",xy=(destiny,row_y_last+delta), xycoords='data',xytext=(origin, row_y_last_1-delta), textcoords='data',
arrowprops=dict(arrowstyle="->",connectionstyle="arc3"),)
for xpos in row2_vect:
plt.scatter(xpos, row_y_last, marker= 'o',facecolors="none", s = 300, color='black')
# START THE MASKING. DOESNT WORK
def consfun1(x):
return np.full(x.shape, 0.4)
def consfun2(x):
return np.full(x.shape, 0.6)
N = np.linspace(0,1,600)
A1 = consfun1(N)
A2 = consfun2(N)
plt.plot(N, A1, color="white",lw = 3)
plt.plot(N, A2, color="white",lw = 3)
plt.fill_between(N, A2, A1,
color = 'r',
alpha = 1.0)
# vertical points ABOVE MASKING
x_coord = 0.5
y_coord1 = 0.55
y_coord2 = 0.50
y_coord3 = 0.44
plt.scatter(x_coord, y_coord1,color='black',marker = 'o', s = 20)
plt.scatter(x_coord, y_coord2,color='black',marker = 'o', s = 20)
plt.scatter(x_coord, y_coord3,color='black',marker = 'o', s = 20)
left,right = plt.xlim()
plt.xlim(left = xminlim)
plt.xlim(right = xmaxlim)
bottom, top = plt.ylim()
plt.ylim(bottom = yminlim)
plt.ylim(top = ymaxlim)
fname = "maskedfigure"
plt.savefig(fname,
bbox_inches='tight',
facecolor = 'w',
edgecolor = 'w',
orientation = 'portrait',
papertype = None,
transparent = False,
pad_inches = 0.1,
frameon = None,
metadata = None)
plt.show()
why is it the filled in area not being plotted over all the other plots?. How can I achieve the desired output? Thanks in advance and hope you are doing well!
