——Exploring the “Ontario Climate Change Data Portal”: A Case Study in Data Exploration Prompts searchable table Examples Download csv file from internet ChatGPT prompt I want you to act as a Python developer tasked with downloading a CSV file from the internet using the provided URL: https://lamps.math.yorku.ca/OntarioClimate/data/content/grids/Historical/Monthly_2m_temperature_8964_ERA5_January1981toMarch2021.csv. To accomplish this, write a Python script that ..
Tag : cartopy
We often need to draw multiple similar maps using the same colorbar. A good way is to use the AxesGrid from the Cartopy package. Below is one of my examples of sharing colorbars for 4 submaps. This example can also answer other questions: How to add ocean, river, lakes,coastline and province border to a map? ..
The following python program show you the method to draw a rectangular area in a map and mark state or province name on the map. Answer to other questions: How to add ocean, lake, river, coastline, province border to map? How to set map extent? How to set xtick or ytick intervals? # Ignore warnings ..
My example of Python code for mapping variables overlay with geographic information. Elements in the map include ocean, coastline,borders,lakes,rivers,province borders, contour, contourf, pcolormesh, scatter, labels, province (or state) names. Also includes information about how to set cmap, what range of the data (minimum, maximum) to show, how many levels to display the data. How to ..
conda create –name pygdal conda activate pygdal conda install -c conda-forge gdal #from osgeo import gdal #to make jupyter server work pip install –upgrade jupyterhub pip install –upgrade nbconvert conda install -c conda-forge notebook conda install -c conda-forge jupyter_contrib_nbextensions # install cartopy conda install -c conda-forge cartopy #install rasterio for reading tiff file conda install ..
from scipy.ndimage.filters import gaussian_filter lats = tp.coords[‘latitude’][:] lons = tp.coords[‘longitude’][:] ct_x=[-79.617,-75.717,-86.917,-93.783] ct_y=[43.667,45.383,49.767,51.067] ct_n=[‘Toronto’,’Ottawa’,’Geraldton’,’Red Lake’] projection = ccrs.PlateCarree() provinc_bodr = cartopy.feature.NaturalEarthFeature(category=’cultural’, name=’admin_1_states_provinces_lines’, scale=’50m’, facecolor=’none’, edgecolor=’k’) axes_class = (GeoAxes, dict(map_projection=projection)) # lons, lats = np.meshgrid(lons, lats) title_text=[“season=DJF(m/s)”, “season=MAM(m/s)”, “season=JJA(m/s)”, “season=SON(m/s)”] fig = plt.figure(figsize=(15,15)) axgr = AxesGrid(fig, 111, axes_class=axes_class, nrows_ncols=(1, 1), axes_pad=0.6, cbar_location=’right’, cbar_mode=’single’, cbar_pad=0.2, cbar_size=’2%’, label_mode=”) # ..