quotes bis

doc/tutorial/climada_engine_Forecast.ipynb

@@ -255,8 +255,8 @@
     "\n",
     "### generate exposure\n",
     "# find out which hazard coord to consider\n",
-    "CHE_borders = u_plot._get_borders(np.stack([exposure.gdf["latitude"].values,\n",
-    "                                            exposure.gdf["longitude"].values],\n",
+    "CHE_borders = u_plot._get_borders(np.stack([exposure.gdf['latitude'].values,\n",
+    "                                            exposure.gdf['longitude'].values],\n",
     "                                           axis=1)\n",
     "                                 )\n",
     "centroid_selection = np.logical_and(np.logical_and(hazard.centroids.lat >= CHE_borders[2],\n",
@@ -390,4 +390,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

doc/tutorial/climada_engine_Impact.ipynb

@@ -68,7 +68,7 @@
     "| event_id |list(int)| id (>0) of each hazard event (Hazard.event_id)|\n",
     "| event_name |(list(str))| name of each event (Hazard.event_name)|\n",
     "| date |np.array| date of events (Hazard.date)|\n",
-    "| coord_exp |np.array| exposures coordinates [lat, lon] (in degrees) (Exposure.gdf["latitudes"], Exposure.gdf["longitude"])|\n",
+    "| coord_exp |np.array| exposures coordinates [lat, lon] (in degrees) (Exposure.gdf['latitudes'], Exposure.gdf['longitude'])|\n",
     "| frequency |np.array| frequency of events (Hazard.frequency)|\n",
     "| frequency_unit |str| unit of event frequency, by default '1/year', i.e., annual (Hazard.frequency_unit)|\n",
     "| unit |str| value unit used (Exposure.value_unit)|\n",
@@ -1468,7 +1468,7 @@
     "\n",
     "# Set Hazard in Exposures points\n",
     "# set centroids from exposures coordinates\n",
-    "centr_pnt = Centroids.from_lat_lon(exp_pnt.gdf["latitude"].values, exp_pnt.gdf["longitude"].values, exp_pnt.crs)\n",
+    "centr_pnt = Centroids.from_lat_lon(exp_pnt.gdf['latitude'].values, exp_pnt.gdf['longitude'].values, exp_pnt.crs)\n",
     "# compute Hazard in that centroids\n",
     "tr_pnt = TCTracks.from_ibtracs_netcdf(storm_id='2007314N10093')\n",
     "tc_pnt = TropCyclone.from_tracks(tr_pnt, centroids=centr_pnt)\n",
@@ -1492,7 +1492,7 @@
     "# Compute Impact\n",
     "imp_pnt = ImpactCalc(exp_pnt, impf_pnt, tc_pnt).impact()\n",
     "# nearest neighbor of exposures to centroids gives identity\n",
-    "print('Nearest neighbor hazard.centroids indexes for each exposure:', exp_pnt.gdf["centr_TC"].values)\n",
+    "print('Nearest neighbor hazard.centroids indexes for each exposure:', exp_pnt.gdf['centr_TC'].values)\n",
     "imp_pnt.plot_scatter_eai_exposure(ignore_zero=False, buffer=0.05);"
    ]
   },
@@ -1716,7 +1716,7 @@
     "# Compute impact\n",
     "imp_ras = ImpactCalc(exp_ras, impf_ras, haz_ras).impact(save_mat=False)\n",
     "# nearest neighbor of exposures to centroids is not identity because litpop does not contain data outside the country polygon\n",
-    "print('\\n Nearest neighbor hazard.centroids indexes for each exposure:', exp_ras.gdf["centr_FL"].values)\n",
+    "print('\\n Nearest neighbor hazard.centroids indexes for each exposure:', exp_ras.gdf['centr_FL'].values)\n",
     "imp_ras.plot_raster_eai_exposure();"
    ]
   },
@@ -1967,7 +1967,7 @@
     "\n",
     "# compute sequence of hazards using TropCyclone video_intensity method\n",
     "exp_sea = add_sea(exp_video, (100, 5))\n",
-    "centr_video = Centroids.from_lat_lon(exp_sea.gdf["latitude"].values, exp_sea.gdf["longitude"].values)\n",
+    "centr_video = Centroids.from_lat_lon(exp_sea.gdf['latitude'].values, exp_sea.gdf['longitude'].values)\n",
     "centr_video.check()\n",
     "\n",
     "track_name = '2017242N16333'\n",

doc/tutorial/climada_entity_Exposures.ipynb

@@ -1639,7 +1639,7 @@
     "# Example 3: plot_raster method\n",
     "from climada.util.plot import add_cntry_names # use climada's plotting utilities\n",
     "ax = exp.plot_raster(); # plot with same resolution as data\n",
-    "add_cntry_names(ax, [exp.gdf["longitude"].min(), exp.gdf["longitude"].max(), exp.gdf["latitude"].min(), exp.gdf["latitude"].max()])\n",
+    "add_cntry_names(ax, [exp.gdf['longitude'].min(), exp.gdf['longitude'].max(), exp.gdf['latitude'].min(), exp.gdf['latitude'].max()])\n",
     "\n",
     "# use keyword argument save_tiff='filepath.tiff' to save the corresponding raster in tiff format\n",
     "# use keyword argument raster_res='desired number' to change resolution of the raster."

doc/tutorial/climada_entity_LitPop.ipynb

@@ -161,9 +161,9 @@
     "    raise err\n",
     "exp.plot_scatter();\n",
     "\n",
-    "# Note that `exp.gdf["region_id"]` is a number identifying each country:\n",
+    "# Note that `exp.gdf['region_id']` is a number identifying each country:\n",
     "print('\\n Region IDs (`region_id`) in this exposure:')\n",
-    "print(exp.gdf["region_id"].unique())"
+    "print(exp.gdf['region_id'].unique())"
    ]
   },
   {

doc/tutorial/climada_util_calibrate.ipynb

@@ -1689,7 +1689,7 @@
     "# tracks.plot()\n",
     "\n",
     "# # Calculate windfield for the tracks\n",
-    "# centroids = Centroids.from_lat_lon(exposure.gdf["latitude"], exposure.gdf["longitude"])\n",
+    "# centroids = Centroids.from_lat_lon(exposure.gdf['latitude'], exposure.gdf['longitude'])\n",
     "# hazard = TropCyclone.from_tracks(tracks, centroids)"
    ]
   },