I'm making a plot to compare band structure calculations from two different methods. This means plotting multiple lines for each set of data. I want to have a set of widgets that controls each set of data separately. The code below works if I only plot one set of data, but I can't get the widgets to work properly for two sets of data.
#!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, TextBox
#cols = ['blue', 'red', 'green', 'purple']
cols = ['#3f54bf','#c14142','#59bf3f','#b83fbf']
finam = ['wan_band.dat','wan_band.pwx.dat']
#finam = ['wan_band.dat'] # this works
lbot = len(finam)*0.09 + 0.06
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=lbot)
ax.margins(x=0) # lines go to the edge of the horizontal axes
def setlines(lines, txbx1, txbx2):
''' turn lines on/off based on text box values '''
try:
mn = int(txbx1) - 1
mx = int(txbx2) - 1
for ib in range(len(lines)):
if (ib<mn) or (ib>mx):
lines[ib].set_visible(False)
else :
lines[ib].set_visible(True)
plt.draw()
except ValueError as err:
print('Invalid range')
#end def setlines(cnt, lines, txbx1, txbx2):
def alphalines(lines, valin):
''' set lines' opacity '''
maxval = int('ff',16)
maxval = hex(int(valin*maxval))[2:]
for ib in range(bcnt):
lines[ib].set_color(cols[cnt]+maxval)
plt.draw()
#end def alphalines(lines, valtxt):
lines = [0]*len(finam) # 2d list to hold Line2Ds
txbox1 = [0]*len(finam) # list of Lo Band TextBoxes
txbox2 = [0]*len(finam) # lsit of Hi Band TextBoxes
alslid = [0]*len(finam) # list of Line Opacity Sliders
for cnt, fnam in enumerate(finam):
ptcnt = 0 # point count
fid = open(fnam, 'r')
fiit = iter(fid)
for line in fiit:
if line.strip() == '' :
break
ptcnt += 1
fid.close()
bandat_raw = np.loadtxt(fnam)
bcnt = int(np.round((bandat_raw.shape[0] / (ptcnt))))
print(ptcnt)
print(bcnt)
# get views of the raw data that are easier to work with
kbandat = bandat_raw[:ptcnt,0] # k point length along path
ebandat = bandat_raw.reshape((bcnt,ptcnt,2))[:,:,1] # band energy @ k-points
lines[cnt] = [0]*bcnt # point this list element to another list
for ib in range(bcnt):
#l, = plt.plot(kbandat, ebandat[ib], c=cols[cnt],lw=1.0)
l, = ax.plot(kbandat, ebandat[ib], c=cols[cnt],lw=1.0)
lines[cnt][ib] = l
y0 = 0.03 + 0.07*cnt
bxht = 0.035
axbox1 = plt.axes([0.03, y0, 0.08, bxht]) # x0, y0, width, height
axbox2 = plt.axes([0.13, y0, 0.08, bxht])
txbox1[cnt] = TextBox(axbox1, '', initial=str(1))
txbox2[cnt] = TextBox(axbox2, '', initial=str(bcnt))
txbox1[cnt].on_submit( lambda x: setlines(lines[cnt], x, txbox2[cnt].text) )
txbox2[cnt].on_submit( lambda x: setlines(lines[cnt], txbox1[cnt].text, x) )
axalpha = plt.axes([0.25, y0, 0.65, bxht])
alslid[cnt] = Slider(axalpha, '', 0.1, 1.0, valinit=1.0)
salpha = alslid[cnt]
alslid[cnt].on_changed( lambda x: alphalines(lines[cnt], x) )
#end for cnt, fnam in enumerate(finam):
plt.text(0.01, 1.2, 'Lo Band', transform=axbox1.transAxes)
plt.text(0.01, 1.2, 'Hi Band', transform=axbox2.transAxes)
plt.text(0.01, 1.2, 'Line Opacity', transform=axalpha.transAxes)
plt.show()
All the widgets only control the last data set plotted instead of the individual data sets I tried to associate with each widget. Here is a sample output:
Here the bottom slider should be changing the blue lines' opacity, but instead it changes the red lines' opacity. Originally the variables txbox1, txbox2, and alslid were not lists. I changed them to lists though to ensure they weren't garbage collected but it didn't change anything.
Here is the test data set1 and set2 I've been using. They should be saved as files 'wan_band.dat' and 'wan_band.pwx.dat' as per the hard coded list finam in the code.
