EPEdit.py is a high-performance, Cython-based Python library for parsing, editing, and formatting EnergyPlus Input Data Files (.idf).
Features
- High Performance: Core functionalities are implemented in Cython for fast and efficient parsing, editing, and serialization.
- Parse IDF Files: Load
.idffile content into a structured object model. - Modify IDF: Create, update, or delete any object within the IDF model.
- Find IDF Objects: Easily find and retrieve objects by their type (e.g.,
Building,Material) and name. - Modify Fields: Get and set values for any field of an IDF object.
- Export to IDF: Serialize the modified model back into a valid
.idffile string.
Installation
pip install epedit
Usage
See examples/example_readme.py for a complete example.
Import
from epedit import IDD, IDF
Open IDD and IDF files
Load the EnergyPlus IDD schema
idd = IDD.from_file("Energy+.idd")
Load an existing IDF file using the parsed IDD
idf = IDF.from_file(idd, "input.idf")
Load IDF from string
idf = IDF.from_string(idd, "Version, 24.2;")
Iterate over objects
Iterate over objects using idf[classname]
for sch_type_limits in idf["ScheduleTypeLimits"]:
print(sch_type_limits["Name"])
Any Number
Fraction
Temperature
On/Off
Control Type
Humidity
Number
... or idf.get_objects(classname)
for sch_type_limits in idf.get_objects("ScheduleTypeLimits"):
print(sch_type_limits["Name"])
Find and update objects
Find an object by class name and object name
building = idf.get_object_by_name("Building", "My Building")
Update fields by their IDD field names
building["North Axis"] = 0.0
building["Terrain"] = "City"
Update multiple fields
building.update({
"Maximum Number of Warmup Days": 50,
"Minimum Number of Warmup Days": 5,
})
print(building)
Building,
My Building, !- Name
0.0, !- North Axis {deg}
City, !- Terrain
0.0400, !- Loads Convergence Tolerance Value {W}
0.2000, !- Temperature Convergence Tolerance Value {deltaC}
FullInteriorAndExterior, !- Solar Distribution
50, !- Maximum Number of Warmup Days
5; !- Minimum Number of Warmup Days
Add new objects
Add a new object with initial field values
obj = idf.add_object(
"RunPeriod",
{
"Name" : "New Annual Run",
"Begin Month" : 1,
"Begin Day of Month" : 1,
"End Month" : 12,
"End Day of Month" : 31,
"Day of Week for Start Day" : "Monday",
},
)
Add a new object without default values
obj = idf.add_object(
"Material",
{
"Name" : "New Insulation",
"Thickness" : 0.05,
"Conductivity" : 0.0314,
"Density" : 265,
"Specific Heat" : 836.8,
},
False,
)
Remove objects
obj = idf.get_object_by_name("RunPeriod", "annual")
success = idf.remove_object(obj)
Find referenced/referencing objects
Find referenced object
surf = idf["BuildingSurface:Detailed"][0]
print(surf)
zone = surf.get_referenced_object("Zone Name")
print(zone)
BuildingSurface:Detailed,
Building_Roof, !- Name
Roof, !- Surface Type
IEAD Non-res Roof, !- Construction Name
TopFloor_Plenum, !- Zone Name
...
Zone,
TopFloor_Plenum, !- Name
0.0000, !- Direction of Relative North {deg}
0.0000, !- X Origin {m}
0.0000, !- Y Origin {m}
...
Find referencing objects
referencers = zone.get_referencing_objects("Name")
print(len(referencers))
print(set(obj.class_name for obj in referencers))
12
{'AirLoopHVAC:ReturnPlenum', 'BuildingSurface:Detailed', 'ZoneInfiltration:DesignFlowRate'}
Save IDF files
idf.save("output.idf")
eppy compatibility mode
If you have an existing codebase that uses eppy, you can use EPEdit.py in compatibility mode with minimal changes to your code while benefiting from significant performance improvements.
Simply replace:
from eppy.modeleditor import IDF
with:
from epedit.eppy import IDF
See examples/example_eppy.py for a complete example.
Related projects
License
Distributed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for epedit 0.3.0
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| epedit-0.3.0.tar.gz | 8.9 MB | Details |
Built distributions (wheels)
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