- Mysql database server express stackoverflow how to#
- Mysql database server express stackoverflow install#
- Mysql database server express stackoverflow code#
- Mysql database server express stackoverflow iso#
- Mysql database server express stackoverflow free#
Mysql database server express stackoverflow iso#
Actually Somaliland appears not to have its own ISO alpha 2 code, although its coordinates take up space on the map. false) iso codes: for country,code in (zip(gdf, gdf)): try: checkint = int(code) print(country, checkint) except ValueError: passĪnd I get that Norway, France, Northern Cyprus and Somaliland have an erroneous ISO Alpha 2 code. In order to check the rest, I wrote a quick function to print out all of the countries with integer (i.e. In my case a quick glance shows me some ISO codes are not as they should be - see Norway for example: You might now have to do some exploration as it is likely the geodata will need “cleaning up”.
Mysql database server express stackoverflow code#
shp name that we want shapefile = ‘110m_coords/ne_110m_admin_0_countries.shp’ # read the entire shapefile first gdf = gpd.read_file(shapefile) # read only the country name (ADMIN), geometry coordinates (geomtry) and the desired country code (in my case ISO_A2) gdf = gpd.read_file(shapefile)] # rename columns gdf.columns = In my case, I am only interested in the ISO Alpha 2 code for the country, because this matches the sales data I will group it with later in SQL Server (not covered in this article).
Mysql database server express stackoverflow free#
shp file read into geopandas has the geometry features for all countries in the world, each with more than 90 other columns - we don’t need all these columns! Feel free to load the entire shapefile and explore the data, and decide which ones you need. However, it appears that loading geodata from and to MS SQL Server is not that trivial, as geopandas methods are written for postgreSQL databases (more on that later). Geopandas is Python’s very convenient library for working with geospatial data.
Mysql database server express stackoverflow install#
If you do not have any of these installed, you can install the module using pip install in your virtual environment - e.g. import pandas as pd import geopandas as gpd import pyodbc import sqlalchemy as sal from shapely import wkb Import the packages we will need during this session. Once downloaded and extracted, copy all the files in a folder located in the working directory of your script, my folder is called ‘100m_coords’. For this, I downloaded the shapefile from here (top green button).
In my case I needed coordinates of the world map, not necessarily in very great detail. Inputting coordinates into Python ShapefileĪ shapefile (.shp) is a geospatial data format, which uses vector features like polygons and multipolygons to represent, for example, countries on a map. It does not cover SQL or t-SQL commands or working with the tables in the SQL Server Management Studio - it mostly deals with connecting and interacting of the data between Python and SQL.
Mysql database server express stackoverflow how to#
loading shapefile coordinates in Python geopandas dataframe an example of cleaning up geodata.As it turned out this is not as trivial as appears, so after a lot of digging on Stack Overflow :) I decided to put it all together in one place for anyone who might be met with a similar task - so here I am writing my first ever tech article! So I was met with the challenge of reading geospatial data from Python to Microsoft SQL Server and back in Python for the first time. For the visualisation I opted for Python’s Bokeh library, while the client data was in Microsoft SQL Server 2019. Recently I was given the task to create an interactive map to visualise a company’s international sales, requiring work with geospatial data. Geospatial data: A beginner’s guide to working with MS SQL Server Express in Python
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