How do I check that array size?

Question

I am trying to print all the time of Jobs with pandas.

import pandas as pd

file_name = 'cases/case1_1md_2mec_4jobs.xlsx'
xl = pd.ExcelFile(file_name)

df_jobs = xl.parse('Jobs')
df_mecs = xl.parse('MECs')
df_links = xl.parse('Links')
df_mds =   xl.parse('MD')


df_sol_time = pd.DataFrame(columns={'Jobs','Time'})
for job in df_jobs:
    job_size = df_jobs['JOB SIZE'][df_jobs['ID'] == job].item()
    MD_ID = df_jobs['MD ID'][df_jobs['ID'] == job].item()
    md_proc_speed = df_mds['PROCESSOR'][df_mds['MD ID'] == MD_ID].item()
    comp_time = float(job_size * 1024 * 1024 * 8) / (0.00227 * md_proc_speed)

I am getting this message:

Can only convert an array of size 1 to a python scalar

Answer 1

I don't know if I understand fully, but I'm fairly certain this will take away your scalar error and should give you what you were trying to get out of the dictionaries.

for index, job in df_jobs.iterrows():
    job_size = job['JOB SIZE']
    MD_ID = job['MD ID']
    md_proc_speed = job['PROCESSOR']
    comp_time = float(job_size * 1024 * 1024 * 8) / (0.00227 * md_proc_speed)

I'm not sure what exactly you are looking to print, but perhaps this will help.

for index, job in df_jobs.iterrows():
    job_size = job['JOB SIZE']
    MD_ID = job['MD ID']
    md_proc_speed = job['PROCESSOR']
    comp_time = float(job_size * 1024 * 1024 * 8) / (0.00227 * md_proc_speed)
    print(MD_ID, comp_time)

For a total time.

total_comp_time = 0
for index, job in df_jobs.iterrows():
    job_size = job['JOB SIZE']
    MD_ID = job['MD ID']
    md_proc_speed = job['PROCESSOR']
    comp_time = float(job_size * 1024 * 1024 * 8) / (0.00227 * md_proc_speed)
    print(MD_ID, comp_time)
    total_comp_time += comp_time
print(total_comp_time)