Split db load and create cell to avoid forced recreates

59cc68f5 · John-Paul Robinson · d8cad0c7 · 59cc68f5
Commit 59cc68f5 authored 5 years ago by John-Paul Robinson
--- a/slurm-2sql.ipynb
+++ b/slurm-2sql.ipynb
@@ -17,7 +17,15 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "db = sqlite3.connect('test.db')\n",
+    "db = sqlite3.connect('test.db')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
    "slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])"
   ]
  },

 %% Cell type:code id: tags:
 ``` 
 import sqlite3
 import slurm2sql
 import pandas as pd
 ```
 %% Cell type:code id: tags:
 ``` 
 db = sqlite3.connect('test.db')
+```
+%% Cell type:code id: tags:
+``` 
 slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])
 ```
 %% Cell type:code id: tags:
 ``` 
 # For example, you can then convert to a dataframe:
 df1 = pd.read_sql('SELECT * FROM slurm', db)
 ```
 %% Cell type:code id: tags:
 ``` 
 df1.head(5)
 ```
 %% Cell type:code id: tags:
 ``` 
 print("more plots to come")
 ```
 %% Cell type:code id: tags:
 ``` 
 ```