From f59e9b68eb237fa9a4776b24f89f0883131f3072 Mon Sep 17 00:00:00 2001 From: sebastienlanglois Date: Thu, 21 Dec 2023 19:42:21 -0500 Subject: [PATCH] correct typos --- docs/notebooks/gis.ipynb | 200 +++++++++++++++++++-------------------- 1 file changed, 100 insertions(+), 100 deletions(-) diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb index e5c37ecd..4ce0d18e 100644 --- a/docs/notebooks/gis.ipynb +++ b/docs/notebooks/gis.ipynb @@ -50,7 +50,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cf842a08bd53459e97fc4abac8259033", + "model_id": "9df9758148d74e61b8927f6ba93d33b4", "version_major": 2, "version_minor": 0 }, @@ -131,8 +131,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 4.15 s, sys: 574 ms, total: 4.72 s\n", - "Wall time: 4.68 s\n" + "CPU times: user 3.95 s, sys: 606 ms, total: 4.55 s\n", + "Wall time: 4.5 s\n" ] }, { @@ -796,9 +796,9 @@ " area (Station) float64 1.117e+08 6.235e+08 5.795e+08\n", " perimeter (Station) float64 6.517e+04 2.918e+05 2.838e+05\n", " gravelius (Station) float64 1.739 3.297 3.325\n", - " centroid (Station) object (-74.14353174932663, 45.17637767020061) ... (...
    • Station
      PandasIndex
      PandasIndex(Index(['031101', '042102', '042103'], dtype='object', name='Station'))
    • " ], "text/plain": [ "\n", @@ -832,14 +832,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Spatial operations: processing polygon 042103 with era5_land_reanalysis: : 3it [00:00, 4.62it/s]\n" + "Spatial operations: processing polygon 042103 with era5_land_reanalysis: : 3it [00:00, 4.72it/s]\n" ] } ], @@ -866,7 +866,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Because the next few steps use (xclim)[https://xclim.readthedocs.io/en/stable/index.html] under the hood, the dataset is required to be CF-compliant. At a minimum, the xarray.DataArray used has to follow these principles:\n", + "Because the next few steps use [xclim](https://xclim.readthedocs.io/en/stable/index.html) under the hood, the dataset is required to be CF-compliant. At a minimum, the xarray.DataArray used has to follow these principles:\n", "\n", "- The dataset needs a time dimension.\n", "- If there is a spatial dimension, such as Station in the example below, it needs an attribute cf_role with timeseries_id as its value.\n", @@ -875,7 +875,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1254,30 +1254,30 @@ " t2m (Station, time) float64 251.6 251.0 251.3 ... 275.6 275.5 275.5\n", " tp (Station, time) float64 1.505e-08 6.174e-08 ... 3.698e-06 6.662e-07\n", " sd (Station, time) float64 0.03733 0.03733 0.03733 ... 0.06421 0.06384\n", - " tas (Station, time) float64 -21.59 -22.17 -21.9 ... 2.455 2.389 2.339
    • " ], "text/plain": [ "\n", @@ -1304,7 +1304,7 @@ " tas (Station, time) float64 -21.59 -22.17 -21.9 ... 2.455 2.389 2.339" ] }, - "execution_count": 25, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1320,7 +1320,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -1351,7 +1351,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1745,7 +1745,7 @@ " cat:xrfreq: AS-JAN\n", " cat:frequency: yr\n", " cat:processing_level: indicators\n", - " cat:id:
  • cat:variable :
    ('tas_max_01',)
    cat:xrfreq :
    AS-JAN
    cat:frequency :
    yr
    cat:processing_level :
    indicators
    cat:id :
    • " ], "text/plain": [ "\n", @@ -3260,7 +3260,7 @@ " cat:id: " ] }, - "execution_count": 27, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -3277,7 +3277,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -3925,7 +3925,7 @@ "sd_mean_year 0.035613 " ] }, - "execution_count": 28, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }