IES-VE User Forum

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get_room_results(room_id, aps_var, vista_var, var_level, start_day, end_day)

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get_all_room_results(room_id, aps_var, var_level, start_day, end_day)

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np_room_temp = results_reader_file.get_room_results(room_id, 'Comfort temperature', 'z', 1, 365)

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np_room_temp = results_reader_file.get_room_results(room_id, 'Comfort temperature', 'Dry resultant temperature', 'z', 1, 365)

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'''Importing modules'''
import iesve
import xlsxwriter
import os
from ies_file_picker import IesFilePicker

'''Accessing Results via Results Reader'''
aps_file_name = IesFilePicker.pick_aps_file()
results_reader_file = iesve.ResultsReader.open(aps_file_name)
variables = results_reader_file.get_variables()

# # # print(variables)
# here we can print the function 'variables' which reads into the .aps file variables and prints out a LIST of DICTIONARIES

# Here we can just print the first variable - which has an .aps variable name of Lights & SP elec, but a display name of Equip Elec. CE
# print(variables[0])

# Here we can find out the length of the list of variables
# print(len(variables))

# Create an Excel worksheet and name it
workbook = xlsxwriter.Workbook('Results_Variables.xlsx')
worksheet = workbook.add_worksheet('Sheet1')

# Specify the Row and Column index to start at 0 
row = 0
col = 0

# Loop through the dictionaries and write to columns using the index method
for dict in variables[1:718]:
    worksheet.write(row, col, dict['units_type'])
    worksheet.write(row, col + 1, dict['post_process_spec'])
    worksheet.write(row, col + 2, dict['aps_varname'])
    worksheet.write(row, col + 3, dict['source'])
    worksheet.write(row, col + 4, dict['subtype'])
    worksheet.write(row, col + 5, dict['model_level'])
    worksheet.write(row, col + 6, dict['custom_type'])
    worksheet.write(row, col + 7, dict['display_name'])
    row += 1
    
# Close the workbook and use OS to open the Excel file
workbook.close()
os.startfile('Results_Variables.xlsx')

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import iesve
from ies_file_picker import IesFilePicker
import pandas as pd
import pickle
import json

#### Select results file to use ####
aps_filename = IesFilePicker.pick_aps_file()
results = iesve.ResultsReader.open(aps_filename)

#### Check available rooms ####
rooms = pd.DataFrame(results.get_room_list()) # (name,ID,Area,Volume)
rooms.to_csv(r'C:\Users\ben.brannon\Desktop\rooms_out.csv')    #save to file if needed

#### Check available variables ####
var_names = results.get_variables()

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Traceback (most recent call last):
  File "C:\git\IESVE_Scripts\RoomConditionsExtract.py", line 20, in <module>
    var_names = results.get_variables()
AttributeError: type object 'NullImporter' has no attribute 'values'