https://github.com/datadrivenconstruction/quantitytakeoff-jupyternotebook
Quantity Takeoff with Jupyter Notebook
https://github.com/datadrivenconstruction/quantitytakeoff-jupyternotebook
aec architecture bim interoperability jupyternotebook python qto quantitytakeoff revit
Last synced: about 2 months ago
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Quantity Takeoff with Jupyter Notebook
- Host: GitHub
- URL: https://github.com/datadrivenconstruction/quantitytakeoff-jupyternotebook
- Owner: datadrivenconstruction
- License: gpl-3.0
- Created: 2021-12-02T04:53:10.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-12-18T15:00:27.000Z (over 2 years ago)
- Last Synced: 2023-12-18T16:43:26.495Z (over 2 years ago)
- Topics: aec, architecture, bim, interoperability, jupyternotebook, python, qto, quantitytakeoff, revit
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/artemboiko/takeoff-with-bimjson-dataframe-from-revit
- Size: 930 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# QuantityTakeoff-with-JupyterNotebook
Open JupyterNotebook: https://www.kaggle.com/artemboiko/takeoff-with-BIMEXCEL-dataframe-from-revit
# Grouping project elements by any of the properties
With the help of the project dataframe (matrix),without the need to upload our data to the SQL server, we can group elements by any or even several element properties.
# Google Collab
- Go to https://colab.research.google.com/
- download the [QuantityTakeoff-JupyterNotebook.ipynb](https://github.com/DataDrivenConstruction/BIMEXCEL-to-CSV/blob/main/BIMEXCEL_to_CSV.ipynb "BIMEXCEL_to_CSV.ipynb") from github site
- Open [BIMEXCEL_to_CSV.ipynb](https://github.com/DataDrivenConstruction/BIMEXCEL-to-CSV/blob/main/BIMEXCEL_to_CSV.ipynb "BIMEXCEL_to_CSV.ipynb") in Google Collab
- Upload the BIMEXCEL files to Google Collab
- Change the path to the files in the first block and replace *path = 'drive/MyDrive / BIMEXCEL/'* with the address of the folder where the BIMISON files are located
# Kaggle.com
- Go to https://www.kaggle.com/
- Open this file in Google Collab
- Upload the BIMEXCEL files to Kaggle Dataset
- Change the path to the files in the first block and replace *path = 'drive/MyDrive / BIMEXCEL/'* with the address of the folder where the BIMISON files are located
# DataDrivenConstruction
https://DataDrivenConstruction.io/
DataDrivenConstruction transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. DataDrivenConstruction allows to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.
DataDrivenConstruction - You Way to Free Tools in Construction.
### Go to BIM 2.0 go to Open Data
