I'm stupid and I deleted the previous repository...

So, code is working, this case reproduce a Diko's peak with Poisson
equation by changing the boundary conditions over time.

scripts_python/plotMom.py

@@ -0,0 +1,38 @@
+import readPhi
+import readMom
+import readF
+import matplotlib.pyplot as plt
+import glob
+import numpy as np
+from scipy.constants import e, k
+
+#  paths = ['../quasiNeutral_fullAblation/','../2024-09-26_11.48.04/']
+#  paths = ['../2024-09-26_12.47.11/']
+paths = ['../quasiNeutral_partialAblation/','../2024-09-26_13.58.24/']
+#  path = '../quasiNeutral_fullAblation/'
+#  path = '../quasiNeutral_partialAblatio/'
+
+
+for path in paths:
+    filesPhi   = sorted(glob.glob(path+'time_*_phi.csv'))
+    filesMom_i = sorted(glob.glob(path+'time_*_mom_i.csv'))
+    start = 0
+    end   = len(filesMom_i)
+    every = 100
+    fig, ax = plt.subplots(4, sharex='all')
+    for fileMom_i, filePhi in zip(filesMom_i[start:end+1:every], filesPhi[start:end+1:every]):
+        time, r, phi, n_e            = readPhi.read(filePhi)
+        time, r, n_i, u_i, T_i, Zave = readMom.read(fileMom_i)
+
+        ax[0].plot(r, phi, label='t = {:.3f} ns'.format(time*1e9))
+        ax[1].set_yscale('log')
+        ax[1].set_ylim([1e14,2e25])
+        ax[1].plot(r, Zave*n_i)
+        ax[1].plot(r,      n_e, color='k', linestyle='dashed')
+        ax[2].plot(r,      u_i)
+        ax[3].plot(r,      T_i)
+
+    ax[0].set_title(path)
+    ax[0].legend()
+
+    plt.show()