根据 Pandas Dataframe 中的时间戳列过滤给定的列（计数）

Question

1. I have a Pandas Dataframe which looks like below

• I want my Output or Visualization Plots which tell:
• During which Hour, how many Jobs have failed,completed (count)

Answer 1

First filter by boolean indexing only rows filled by Failed and then use crosstab with DataFrame.plot.bar :

df1 = df[df['Status'].eq('Failed')]
out = pd.crosstab(df1['Hour'], df1['Job'])

out.plot.bar()

Answer 2

import pandas as pd

df = pd.read_csv('./data.csv')

# status
status = set(df['Status'])
dfStatus = {s: df[df['Status'] == s] for s in status}

# hours
hours = set(df['Hour'])
dfStatusPerHour = {}

# calculate them explicitly
for s in status:
    dfStatusPerHour[s] = {h: dfStatus[s][dfStatus[s]['Hour'] == h].shape[0] for h in hours}

# show results
for s in status:
    print(f"{s} : {dfStatusPerHour[s]}")