removing output cells

importSACCTinfo.ipynb

 %% Cell type:code id: tags:
 
 ``` python
 import numpy as np
 import pandas as pd
 import pandas_profiling
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 df = pd.read_csv('userusage.txt',delimiter='|')
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 df.head()
 ```
 
-%%%% Output: execute_result
-
-           User                Start          JobID           JobName      State  \
-    0  user  2019-01-06T22:00:21        2040834      _interactive  COMPLETED
-    1       NaN  2019-01-06T22:00:21  2040834.batch             batch  COMPLETED
-    2    user  2019-01-07T16:15:21        2043373  Pipe_trim_galore  COMPLETED
-    3       NaN  2019-01-07T16:15:21  2043373.batch             batch  COMPLETED
-    4    user  2019-01-07T16:15:21        2043374  Pipe_trim_galore  COMPLETED
-    
-      Partition    MaxRSS   ReqMem  ReqCPUS NodeList  NNodes   Elapsed
-    0    medium       NaN  10000Mc        1    c0088       1  16:04:23
-    1       NaN  1394528K  10000Mc        1    c0088       1  16:04:23
-    2    medium       NaN   2000Mc        1    c0038       1  00:18:41
-    3       NaN    58592K   2000Mc        1    c0038       1  00:18:41
-    4    medium       NaN   2000Mc        1    c0063       1  00:15:48
-
 %% Cell type:code id: tags:
 
 ``` python
 df[['jid','step']] = df.JobID.str.split(".",expand=True)
 df.Partition.values
 ```
 
-%%%% Output: execute_result
-
-    array(['medium', nan, 'medium', ..., 'medium', nan, nan], dtype=object)
-
 %% Cell type:code id: tags:
 
 ``` python
 batchDF=df.dropna(subset=["MaxRSS"])
 userDF=df.dropna(subset=["User"])
 for jid in df.jid.unique():
     userDF['MaxRSS'][userDF['jid'] == jid]=batchDF['MaxRSS'][batchDF['jid'] == jid]
 
     #print(userDF[userDF['jid'] == jid])
 
 userDF.head()
 ```
 
-%%%% Output: stream
-
-    /home/wsmonroe/.conda/envs/wsmplayground/lib/python3.6/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning:
-    A value is trying to be set on a copy of a slice from a DataFrame
-    
-    See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
-      after removing the cwd from sys.path.
-    /home/wsmonroe/.conda/envs/wsmplayground/lib/python3.6/site-packages/pandas/core/generic.py:7626: SettingWithCopyWarning:
-    A value is trying to be set on a copy of a slice from a DataFrame
-    
-    See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
-      self._update_inplace(new_data)
-    /home/wsmonroe/.conda/envs/wsmplayground/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2961: SettingWithCopyWarning:
-    A value is trying to be set on a copy of a slice from a DataFrame
-    
-    See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
-      exec(code_obj, self.user_global_ns, self.user_ns)
-
 %% Cell type:markdown id: tags:
 
 # add more graphs here
 
 %% Cell type:code id: tags:
 
 ``` python
 ```

slurm-2sql.ipynb

 %% Cell type:code id: tags:
 
 ``` python
 import sqlite3
 import slurm2sql
 import pandas as pd
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 db = sqlite3.connect('test.db')
 slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])
 ```
 
-%%%% Output: execute_result
-
-    0
-
 %% Cell type:code id: tags:
 
 ``` python
 # For example, you can then convert to a dataframe:
 df1 = pd.read_sql('SELECT * FROM slurm', db)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 df1.head(5)
 ```
 
-%%%% Output: execute_result
-
-         JobID  ArrayJobID  ArrayTaskID JobStep            JobIDSlurm  \
-    0  3319116     3319116          NaN    None  3319116_[43-45,47%5]
-    1  3927198     3887451         30.0    None            3887451_30
-    2  3927198     3887451         30.0   batch      3887451_30.batch
-    3  3927198     3887451         30.0  extern     3887451_30.extern
-    4  3927199     3887451         31.0    None            3887451_31
-    
-            JobName      User     Group   Account      State  ...  \
-    0      1mUD1MPa  user  user  user    PENDING  ...
-    1  100kCrC20MPa  user  user  user  COMPLETED  ...
-    2         batch                      user  COMPLETED  ...
-    3        extern                      user  COMPLETED  ...
-    4  100kCrC20MPa  user  user  user  COMPLETED  ...
-    
-       MaxDiskReadNode  MaxDiskReadTask  MaxDiskWrite  MaxDiskWriteNode  \
-    0                                             NaN
-    1                                             NaN
-    2            c0088                0  1.222336e+10             c0088
-    3            c0088                0  0.000000e+00             c0088
-    4                                             NaN
-    
-       MaxDiskWriteTask  ReqGPUS Comment GPUMem  GPUEff  NGPU
-    0                        NaN    None   None    None  None
-    1                        NaN    None   None    None  None
-    2                 0      NaN    None   None    None  None
-    3                 0      NaN    None   None    None  None
-    4                        NaN    None   None    None  None
-    
-    [5 rows x 63 columns]
-
 %% Cell type:code id: tags:
 
 ``` python
 print("more plots to come")
 ```
 
-%%%% Output: stream
-
-    more plots to come
-
 %% Cell type:code id: tags:
 
 ``` python
 ```