docs: fix code snippet languages (#5095)

display/displaydrivers.md

@@ -19,7 +19,7 @@ this variable. Currently only Python scrips are supported.
 
 Lets start with simple example of Python script called *render.py*:
 
-```sh
+```python
 #!/usr/bin/env python3
 
 import os

general/g.findfile/g.findfile.md

@@ -81,10 +81,10 @@ more info.
 Note: The Python tab in the *wxGUI* can be used for entering the
 following code:
 
-```sh
-import grass.script as gcore
+```python
+import grass.script as gs
 
-gcore.find_file('elevation', element = 'cell')
+gs.find_file('elevation', element = 'cell')
 ```
 
 ## SEE ALSO

general/g.parser/g.parser.md

@@ -257,6 +257,9 @@ Example:
 
 ```sh
 v.in.db driver=sqlite database=mysqlite.db table=pointsfile x=x y=y z=z key=idcol out=dtmpoints --json
+```
+
+```json
 {
   "module": "v.in.db",
   "id": "v.in.db_1804289383",
@@ -348,7 +351,7 @@ Parameters:
 
 ### Example code for Python
 
-```sh
+```python
 #!/usr/bin/env python3
 
 # g.parser demo script for python programming
@@ -471,7 +474,7 @@ g.message message="Value of GIS_OPT_vect: '$GIS_OPT_vector'"
 
 ### Example code for Perl
 
-```sh
+```perl
 #!/usr/bin/perl -w
 use strict;
 
@@ -543,7 +546,9 @@ output is shown below:
 
 ```sh
 v.what.rast --script
+```
 
+```python
 #!/usr/bin/env python3
 ############################################################################
 #

general/g.version/g.version.md

@@ -21,10 +21,10 @@ printed by **-e** flag.
 See also function `version()` from [Python Scripting
 Library](https://grasswiki.osgeo.org/wiki/GRASS_Python_Scripting_Library).
 
-```sh
-import grass.script as gcore
+```python
+import grass.script as gs
 
-print gcore.version()
+print(gs.version())
 ```
 
 ## EXAMPLES

lib/init/grass.md

@@ -341,7 +341,7 @@ grass /path/to/grassdata/test1/PERMANENT/ --exec python test.py
 
 A very simple Python script ("test.py") may look like this:
 
-```sh
+```python
 #!/usr/bin/env python3
 
 # import GRASS Python bindings (see also pygrass)

raster/r.category/r.category.md

@@ -154,7 +154,7 @@ r.category map=landclass96 cats=3,4 output_format=json
 
 generates the following JSON output:
 
-```sh
+```json
 [
     {
         "category": 3,

raster/r.horizon/r.horizon.md

@@ -188,14 +188,14 @@ r.horizon elevation=elevation direction=0 step=5 bufferzone=200 \
 ```
 
 ![](rhorizon_shaded_dem_point.png)  
-Test point near high way intersection (North Carolina sample dataset)
+*Test point near high way intersection (North Carolina sample dataset)*
 
 ![](rhorizon_singlepoint_plot.png)  
-Horizon angles for test point (CCW from East)
+*Horizon angles for test point (CCW from East)*
 
 We can plot horizon in polar coordinates using Matplotlib in Python:
 
-```sh
+```python
 import numpy as np
 import matplotlib.pyplot as plt
 
@@ -212,7 +212,7 @@ plt.show()
 ```
 
 ![](rhorizon_polar_plot.png)  
-Horizon plot in polar coordinates.
+*Horizon plot in polar coordinates.*
 
 ### Raster map mode
 

raster/r.in.lidar/r.in.lidar.md

@@ -430,8 +430,7 @@ r.in.lidar input="Serpent Mound Model LAS Data.laz" \
            output=Serpent_Mound_Model_LAS_Data method=mean
 ```
 
-![](r_in_lidar.png)
-
+![](r_in_lidar.png)  
 *Figure: Elevation for the whole area of Serpent Mound dataset*
 
 ### Height above ground
@@ -492,7 +491,7 @@ r.in.lidar file=/home/user/data/filelist.txt output=mean_height_above_ground bas
 In Python, the list of files can be created using the *glob* Python
 module:
 
-```sh
+```python
 import glob
 import grass.script as gs
 

raster/r.info/r.info.md

@@ -126,7 +126,7 @@ Finally, the output from *r.info* can be output in JSON by passing the
 r.info slope format=json
 ```
 
-```sh
+```json
 {
     "north": 228500,
     "south": 215000,

raster/r.mask.status/r.mask.status.md

@@ -30,7 +30,7 @@ r.mask.status format=json
 
 In Python, use:
 
-```sh
+```python
 import grass.script as gs
 gs.parse_command("r.mask.status", format="json")
 ```

raster/r.object.geometry/r.object.geometry.md

@@ -40,7 +40,7 @@ JSON:
 r.object.geometry input=zipcodes format=json
 ```
 
-```sh
+```json
 [
     {
         "category": 1,

raster/r.profile/r.profile.md

@@ -127,7 +127,7 @@ r.profile -g input=elevation coordinates=641712,226095,641546,224138,641546,2220
 
 The output looks as follows:
 
-```sh
+```json
 [
     {
         "easting": 641712,
@@ -192,7 +192,7 @@ The JSON output makes for ease of integration with popular python data
 science libraries. For instance, here is an example of creating a
 scatterplot of distance vs elevation with color coding.
 
-```sh
+```python
 import grass.script as gs
 import pandas as pd
 import matplotlib.pyplot as plt

raster/r.report/r.report.md

@@ -127,7 +127,7 @@ The output from *r.report* can be output in JSON by passing the
 r.report -n -a map=towns,elevation units=miles,meters,kilometers,acres,hectares,cells,percent nsteps=2 format=json
 ```
 
-```sh
+```json
 {
     "location": "nc_spm_08_grass7",
     "created": "2024-07-24T14:59:09+0530",

raster/r.solute.transport/r.solute.transport.md

@@ -83,7 +83,7 @@ Use this small python script to create a working groundwater flow /
 solute transport area and data. Make sure you are not in a lat/lon
 projection.
 
-```sh
+```python
 #!/usr/bin/env python3
 # This is an example script how groundwater flow and solute transport are
 # computed within GRASS GIS

raster/r.sun/r.sun.md

@@ -290,7 +290,7 @@ d.rast.leg it172
 
 We can compute the day of year from a specific date in Python:
 
-```sh
+```python
 >>> import datetime
 >>> datetime.datetime(2014, 6, 21).timetuple().tm_yday
 172

raster/r.univar/r.univar.md

@@ -226,7 +226,7 @@ r.univar -e elevation percentile=98 format=json
 
 will output the results in JSON format:
 
-```sh
+```json
 [
     {
         "n": 2025000,

scripts/i.band.library/i.band.library.md

@@ -108,7 +108,7 @@ designed in order to support image collections in GRASS GIS.
 Band reference information is stored in JSON files with a pre-defined
 internal data structure. A minimalistic example is shown below.
 
-```sh
+```json
 {
     "Sentinel2": {
         "description": "The Sentinel-2 A/B bands",

temporal/t.rast.list/t.rast.list.md

@@ -194,7 +194,7 @@ dataset [t.vect.list](t.vect.list.md#using-method-option)
 
 ### Reading raster names in Python
 
-```sh
+```python
 result = json.loads(
     gs.read_command(
         "t.rast.list", input="tempmean_monthly", format="json"

vector/v.db.select/v.db.select.md

@@ -56,7 +56,7 @@ to parse this format when configured to the above specification.
 
 Example with default settings:
 
-```sh
+```csv
 cat,road_name,multilane,year,length
 1,"NC-50","no",2001,4825.369405
 2,"NC-50","no",2002,14392.589058
@@ -106,7 +106,7 @@ the SQL types. The definition of `is_number` may change in the future.
 
 Example with added indentation:
 
-```sh
+```json
 {
   "info": {
     "columns": [
@@ -319,7 +319,7 @@ The *json* package in the standard Python library can load a JSON string
 obtained as output from the *v.db.select* module through the
 *read_command* function:
 
-```sh
+```python
 import json
 import grass.script as gs
 

vector/v.distance/v.distance.md

@@ -217,7 +217,7 @@ from_cat to_cat       dist
 v.distance -p from=busroute_a to=busstopsall upload=dist,to_attr to_column=routes format=json
 ```
 
-```sh
+```json
 [
     {
         "from_cat": 1,

vector/v.info/v.info.md

@@ -136,7 +136,7 @@ bottom=0.000000
 
 ### Output in JSON format
 
-```sh
+```json
 {
     "name": "geology",
     "mapset": "PERMANENT",
@@ -187,17 +187,17 @@ more info.
 Note: The Python tab in the *wxGUI* can be used for entering the
 following code:
 
-```sh
-import grass.script as gcore
+```python
+import grass.script as gs
 
-gcore.vector_columns('geology')   # for `v.info -c`
-gcore.vector_info_topo('geology') # for `v.info shell=topo`
+gs.vector_columns('geology')   # for `v.info -c`
+gs.vector_info_topo('geology') # for `v.info shell=topo`
 ```
 
 Here is an example of how the JSON output format can be used to
 integrate Grass with other python libraries easily.
 
-```sh
+```python
 import grass.script as gs
 import pandas as pd
 

vector/v.univar/v.univar.md

@@ -127,7 +127,7 @@ v.univar -e samples column=heights type=point format=json
 
 will output the results in JSON format:
 
-```sh
+```json
 {
     "n": 1832,
     "missing": 0,