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Commit 1ef6302a authored by Alexandros Asonitis's avatar Alexandros Asonitis
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new TLM-CTLM file structure

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......@@ -198,10 +198,13 @@ def on_continue_button_clicked(b):
i=i+1
#write to file
if type =="TLM":
title_sample = f"{type} Measurement at {date}"+"\n"+f"Processing_Number:{processing_number}"+"\n"+f"Sample_Series:{sample_series}"+"\n"+f"Field:{field}"+"\n"+f"Contanctlength/um:{length}"+"\n"+f"Width/um:{width}"+"\n"+f"Distance/um:{distances[counter]}"+"\n\n"
title_sample = f"{type} Measurement at {date}"+"\n"+f"Processing Number:{processing_number}"+"\n"+f"Sample Series:{sample_series}"+"\n"+f"Field:{field}"+"\n"+f"Contanctlength|Innen Radius/um:{length}"+"\n"+f"Width/um:{width}"+"\n"+f"Distance/um:{distances[counter]}"+"\n\n"
else: # CTLM
title_sample = f"{type} Measurement at {date}"+"\n"+f"Processing_Number:{processing_number}"+"\n"+f"Sample_Series:{sample_series}"+"\n"+f"Field:{field}"+"\n"+f"Innen_Radius/um:{length}"+"\n"+f"Width/um:{width}"+"\n"+f"Distance/um:{distances[counter]}"+"\n\n"
title_parameters = f"Current/A:{start} to {stop} with step {step}"+"\n"+f"Compliance/V:{comp}"+"\n"+f"Integration Time:{integration}"+"\n\n"
title_parameters = f"Current/A:{start} to {stop} with step {step}"+"\n"+f"Compliance/V:{comp}"+"\n"+f"Integration_Time:{integration}"+"\n\n"
#create the dataframe
header = ['V/V', 'I/A']
......@@ -211,7 +214,8 @@ def on_continue_button_clicked(b):
with open(path,"w") as f:
f.write(title_sample)
f.write(title_parameters)
f.write(df.to_string())
df.to_csv(path,sep=" ",mode='a')
#append to filenames
filenames.append(path)
......
......@@ -9,7 +9,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "36f4dd77065f4152a14536026bdeac61",
"model_id": "13114271bb904c82b0073325515a0320",
"version_major": 2,
"version_minor": 0
},
......@@ -30,7 +30,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "30b8681399504c47ae9d53285af8fafa",
"model_id": "30e040eb218f45229faad969dbcf4ea5",
"version_major": 2,
"version_minor": 0
},
......@@ -44,7 +44,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "fe507185405e49cebd3aa2aaef31f42a",
"model_id": "bb490acc8e4144f899a83836970a86a5",
"version_major": 2,
"version_minor": 0
},
......@@ -66,7 +66,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2bd13f5040184680893efde6458de038",
"model_id": "7c9d770f01254e839c7819e36b18f52d",
"version_major": 2,
"version_minor": 0
},
......@@ -88,7 +88,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c44f017914614138bd285277d73961e0",
"model_id": "5ee89d55ab2246829bae4297b44a4cfc",
"version_major": 2,
"version_minor": 0
},
......@@ -102,7 +102,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "abefe56e8bc1480ba85851da55c2236e",
"model_id": "5d28061640af4acd8e0b590178d4c754",
"version_major": 2,
"version_minor": 0
},
......
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