From a3f50a4a7deade293e0baef795194e128977ba98 Mon Sep 17 00:00:00 2001
From: pgleeson
Date: Thu, 29 Feb 2024 10:37:19 +0000
Subject: [PATCH] Flip order pre/post -> post/pre in WormNeuroReader
---
c302/ConnectomeReader.py | 12 +-
c302/WormNeuroAtlasReader.py | 4 +-
examples/test/Comparison.ipynb | 686 +++++++++++++++++-
.../WormNeuroAtlas_exc_to_neurons.png | Bin 54796 -> 64965 bytes
.../WormNeuroAtlas_inh_to_neurons.png | Bin 63836 -> 53716 bytes
.../WormNeuroAtlas_exc_to_neurons.png | Bin 58888 -> 58755 bytes
.../Social/WormNeuroAtlas_exc_to_neurons.png | Bin 44791 -> 44808 bytes
examples/test/test_nwa.py | 1 +
8 files changed, 682 insertions(+), 21 deletions(-)
diff --git a/c302/ConnectomeReader.py b/c302/ConnectomeReader.py
index 8a8a4f91..fad60549 100644
--- a/c302/ConnectomeReader.py
+++ b/c302/ConnectomeReader.py
@@ -170,11 +170,21 @@ def analyse_connections(cells, neuron_conns, neurons2muscles, muscles, muscle_co
#core_set = ['VA6', 'VD6']
print_("\n\nConnections between cells in the subset %s:\n"%(core_set))
-
for c in neuron_conns:
if c.pre_cell in core_set and c.post_cell in core_set:
print_(str(c))
+ print_details_on =['AVBR','NSMR']
+ for cd in print_details_on:
+ print_("\n\nAll outgoing connections of %s:\n"%(cd))
+ for c in neuron_conns:
+ if c.pre_cell == cd:
+ print_(str(c))
+ print_("\n\nAll incoming connections of %s:\n"%(cd))
+ for c in neuron_conns:
+ if c.post_cell == cd:
+ print_(str(c))
+
print_("")
diff --git a/c302/WormNeuroAtlasReader.py b/c302/WormNeuroAtlasReader.py
index 93005948..dad7ee69 100644
--- a/c302/WormNeuroAtlasReader.py
+++ b/c302/WormNeuroAtlasReader.py
@@ -76,7 +76,7 @@ def read_data(self, include_nonconnected_cells=False):
connection = False
- gji = gj[apre, apost]
+ gji = gj[apost, apre]
num = gji[0]
if num>0:
#print("Gap junc (%s (%i) -> %s (%i): %s"%(pre, apre, post, apost, gji))
@@ -85,7 +85,7 @@ def read_data(self, include_nonconnected_cells=False):
conns.append(ConnectionInfo(pre, post, num, syntype, synclass))
connection = True
- csi = cs[apre, apost]
+ csi = cs[apost, apre]
num = csi[0]
if num>0:
#print("Chem syn (%s (%i) -> %s (%i): %s"%(pre, apre, post, apost, gji))
diff --git a/examples/test/Comparison.ipynb b/examples/test/Comparison.ipynb
index 21db5a81..96d41f21 100644
--- a/examples/test/Comparison.ipynb
+++ b/examples/test/Comparison.ipynb
@@ -321,7 +321,7 @@
" Gen_CS (5233) Gen_GJ (1031)
| \n",
" Gen_CS (1979) Gen_GJ (272)
| \n",
" Gen_CS (1970) Gen_GJ (304)
| \n",
- " ACh (2017) GABA (631) Gen_CS (431) Gen_GJ (1650) Glu (972)
| \n",
+ " ACh (1802) GABA (322) Gen_CS (667) Gen_GJ (1650) Glu (1260)
| \n",
" ACh (3859) GABA (64) Gen_GJ (2654)
| \n",
" \n",
" \n",
@@ -364,7 +364,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 3,
"id": "8a6f79cf-8fb4-4c04-b319-03456f64d298",
"metadata": {
"tags": []
@@ -471,21 +471,7 @@
"c302 >>> Opened Excel file: /opt/homebrew/anaconda3/envs/py39n/lib/python3.9/site-packages/c302/data/NeuronConnectFormatted.xlsx\n",
"c302 >>> Writing generated network to: /Users/padraig/c302/examples/test/images/c302_C1_Social.net.nml\n",
"c302 >>> (Re)written network file to: images/c302_C1_Social.net.nml\n",
- "c302 >>> Saving connectivity figure to: ./images/Social/VarshneyData_exc_to_neurons.png\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/opt/homebrew/anaconda3/envs/py39n/lib/python3.9/site-packages/c302/c302_utils.py:369: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n",
- " fig, ax = plt.subplots(figsize=figsize)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "c302 >>> Saving connectivity figure to: ./images/Social/VarshneyData_exc_to_neurons.png\n",
"c302 >>> Saving connectivity figure to: ./images/Social/VarshneyData_elec_neurons_neurons.png\n",
"\n",
"=== Generating using reader c302.WitvlietDataReader1 (Witvliet1)\n",
@@ -520,7 +506,21 @@
"c302 >>> Initialising WormNeuroAtlasReader\n",
"c302 >>> Writing generated network to: /Users/padraig/c302/examples/test/images/c302_C1_Social.net.nml\n",
"c302 >>> (Re)written network file to: images/c302_C1_Social.net.nml\n",
- "c302 >>> Saving connectivity figure to: ./images/Social/WormNeuroAtlas_exc_to_neurons.png\n",
+ "c302 >>> Saving connectivity figure to: ./images/Social/WormNeuroAtlas_exc_to_neurons.png\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/homebrew/anaconda3/envs/py39n/lib/python3.9/site-packages/c302/c302_utils.py:369: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n",
+ " fig, ax = plt.subplots(figsize=figsize)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"c302 >>> Saving connectivity figure to: ./images/Social/WormNeuroAtlas_elec_neurons_neurons.png\n",
"\n",
"=== Generating using reader c302.Cook2019HermReader (Cook2019Herm)\n",
@@ -793,6 +793,656 @@
"c302 >>> Saving connectivity figure to: ./images/Pharyngeal/Cook2019Herm_elec_neurons_neurons.png\n",
"Finished generation of images!\n"
]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "