You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Feb 1, 2024. It is now read-only.
Describe the bug
When parsing values from non-.mpr files (e.g. .txt or .idf), all values appear as strings rather than as their actual data type (e.g. float, int).
To Reproduce
Steps to reproduce the behavior:
Harvest a .txt or .idf file.
Observe the data_type of all columns is str
Expected behavior data_type should be identified correctly.
Additional context
The issue is inside the parser itself. harvest.py's calls to enumerate(generator) return dictionaries where all the values are strings, rather than correctly being identified as the data type they should be.
The text was updated successfully, but these errors were encountered:
Describe the bug
When parsing values from non-
.mpr
files (e.g..txt
or.idf
), all values appear as strings rather than as their actual data type (e.g. float, int).To Reproduce
Steps to reproduce the behavior:
.txt
or.idf
file.data_type
of all columns isstr
Expected behavior
data_type
should be identified correctly.Additional context
The issue is inside the parser itself.
harvest.py
's calls toenumerate(generator)
return dictionaries where all the values are strings, rather than correctly being identified as the data type they should be.The text was updated successfully, but these errors were encountered: