Maybe someone can help me out with this issue, but for certain datasets, when I run the .explore() function, I receive a TypeError: Object of type Timestamp is not JSON serializable (for example, in lesson 4 -> codeblock 4 -> bike_paths.explore()). Is this an issue with my installation, the dataset, or something with geopandas? Thank you for the help!
Does anyone know a good way to read from ESRI File Geodatabase format, or even SDE Geodatabase into a geopandas geodataframe? I would imagine for an Enterprise Geodatabase I would have to invoke arcpy first. Converting to shapefile is undesirable due to the field length limitations, and null values
import geopandas as gpd # Example GeoPandas DataFrame gdf = gpd.read_file("example.shp") # Extract coordinates (centroid as an example) gdf['centroid_x'] = gdf.geometry.centroid.x gdf['centroid_y'] = gdf.geometry.centroid.y # Keep only numeric or categorical attributes relevant for the AI model data_for_ai = gdf.drop(columns=['geometry']) # Remove geometry column for simplicity
Thanks for this great tutorial. Your videos and book have really helped me improve my skills. Would you be interested in giving a talk or workshop at the OpenStreetMap State of the Map US conference in Boston this June?
I think for future videos it would be best to keep the zoom on the screen consistent. The constant zoom in/out was a little disorienting. But overall a nice video and enjoyed the introduction.
When trying to import `h3pandas`, I encountered an `ImportError` stating: "cannot import name 'h3' from 'h3'". This happened because I had `h3-py` version 4.1.1 installed, which is incompatible with `h3pandas`. **Solution:** To resolve this, I uninstalled `h3-py` and installed a compatible version (3.x). Here are the steps: 1. Uninstall the incompatible version: ```bash conda remove h3-py ```
2. Install a compatible version: ```bash conda install -c conda-forge h3-py=3.7.7 ``` After that, I was able to import `h3pandas` successfully!
At 28:33, it is very difficult to write the wiscosin state border data you created one by one, can you share the points there here?
Maybe someone can help me out with this issue, but for certain datasets, when I run the .explore() function, I receive a TypeError: Object of type Timestamp is not JSON serializable (for example, in lesson 4 -> codeblock 4 -> bike_paths.explore()). Is this an issue with my installation, the dataset, or something with geopandas? Thank you for the help!
Does anyone know a good way to read from ESRI File Geodatabase format, or even SDE Geodatabase into a geopandas geodataframe? I would imagine for an Enterprise Geodatabase I would have to invoke arcpy first.
Converting to shapefile is undesirable due to the field length limitations, and null values
Awesome work🙌
thank you from morocco 🇲🇦🇲🇦
Thanks!
incredible video!, thank you so much!!
liked this a lot, many thanks!
Thats good session for the current era.
hello Matt! how can you generate those polygons from google earth or similar open source software to create dataframes?
Thank you for an informative session! Just wondering where can I download the five geopandas-1 to geopandas-5 ipynb? Cheers
Any idea how to feed the Geopanda DataFrames to an AI model such as OpenAI or Gemini?
import geopandas as gpd
# Example GeoPandas DataFrame
gdf = gpd.read_file("example.shp")
# Extract coordinates (centroid as an example)
gdf['centroid_x'] = gdf.geometry.centroid.x
gdf['centroid_y'] = gdf.geometry.centroid.y
# Keep only numeric or categorical attributes relevant for the AI model
data_for_ai = gdf.drop(columns=['geometry']) # Remove geometry column for simplicity
Thanks Matt💯❤
Of course!
Thanks sir ❤
Appreciate it!
Thanks 👍
Thank you.
You're welcome!
Thanks for this great tutorial. Your videos and book have really helped me improve my skills. Would you be interested in giving a talk or workshop at the OpenStreetMap State of the Map US conference in Boston this June?
Thank you and so glad they have been helpful! And yes please let me know more about it - you can send me a DM on LinkedIn if that is easiest
I think for future videos it would be best to keep the zoom on the screen consistent. The constant zoom in/out was a little disorienting. But overall a nice video and enjoyed the introduction.
When trying to import `h3pandas`, I encountered an `ImportError` stating: "cannot import name 'h3' from 'h3'". This happened because I had `h3-py` version 4.1.1 installed, which is incompatible with `h3pandas`.
**Solution:**
To resolve this, I uninstalled `h3-py` and installed a compatible version (3.x). Here are the steps:
1. Uninstall the incompatible version:
```bash
conda remove h3-py
```
2. Install a compatible version:
```bash
conda install -c conda-forge h3-py=3.7.7
```
After that, I was able to import `h3pandas` successfully!
Job opportunities in gis ?
Please how do l get the files