ogrinfo --config CARTO_HTTPS NO -ro "Carto:<username>" <some_public_table>This streams all sorts of info including geometries and attributes for each feature in the dataset. This isn't what I want ultimately, but it tells me that ogr is able to suck in that Carto data table.
| districts = remoteGeoJSONToGDF('http://data-ral.opendata.arcgis.com/datasets/9a5733e13dd14e2f80f8517738ce8cc6_2.geojson') | |
| districts.plot(column = 'COUNCIL_DIST') |
| import requests, json, geopandas as gpd | |
| def remoteGeoJSONToGDF(url, display = False): | |
| """Import remote GeoJSON to a GeoDataFrame | |
| Keyword arguments: | |
| url -- URL to GeoJSON resource on web | |
| display -- Displays geometries upon loading (default: False) | |
| """ | |
| r = requests.get(url) | |
| data = r.json() |
Generating summary statistics in ArcGIS is a bit more complicated than it needs to be. The Summary Statistics tool requires that you return your output to some sort of tabular data file. Sometimes you just need to see the number really quickly or see how they change if you filter the data differntly. This is function is the beginnings of a simple tool to generate summary statistics for a given field in a feature class. The function returns a dictionary containing the number of entries, the sum of the entries, and mean/median/standard deviatation value of the entries for the inputed field.
| license: mit |
| ``` | |
| Create a Markdown formatted list of files in a directory | |
| ``` | |
| import os | |
| dir = input("Directory to generate list: ") | |
| list = os.listdir(dir) | |
| file = open(dir + '\\' + 'list.txt', 'w') | |
| for l in list: |
First and foremost, you need to have Anaconda installed.
conda create --name <name_of_env> jupyter
Append jupyter to the end of your command. Many packages are installed automatically, but you can specify some that aren't. Jupyter is not part of the automatic install list. There is a way to create your own install list, but let's forget that for now.