Commit 9bfd57c5 authored by Ryan Randles Jones's avatar Ryan Randles Jones
Browse files

udates

parent 4d36cdff
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ```
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import pandas_profiling import pandas_profiling
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ```
df = pd.read_csv('userusage.txt',delimiter='|') df = pd.read_csv('userusage.txt',delimiter='|')
``` ```
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``` python ```
df.head() df.head()
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ```
df[['jid','step']] = df.JobID.str.split(".",expand=True) df[['jid','step']] = df.JobID.str.split(".",expand=True)
df.Partition.values df.Partition.values
``` ```
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``` python ```
batchDF=df.dropna(subset=["MaxRSS"]) batchDF=df.dropna(subset=["MaxRSS"])
userDF=df.dropna(subset=["User"]) userDF=df.dropna(subset=["User"])
for jid in df.jid.unique(): for jid in df.jid.unique():
userDF['MaxRSS'][userDF['jid'] == jid]=batchDF['MaxRSS'][batchDF['jid'] == jid] userDF['MaxRSS'][userDF['jid'] == jid]=batchDF['MaxRSS'][batchDF['jid'] == jid]
#print(userDF[userDF['jid'] == jid]) #print(userDF[userDF['jid'] == jid])
userDF.head() userDF.head()
``` ```
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# add more graphs here # add more graphs here
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``` python ```
``` ```
......
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