From 9ff571abfb0801b1bcc56b7ed437fc3f155c5d16 Mon Sep 17 00:00:00 2001 From: Negin Sobhani Date: Thu, 6 Jun 2024 13:41:06 -0600 Subject: [PATCH] update indexing redundancies --- intermediate/indexing/advanced-indexing.ipynb | 31 ++++--------------- 1 file changed, 6 insertions(+), 25 deletions(-) diff --git a/intermediate/indexing/advanced-indexing.ipynb b/intermediate/indexing/advanced-indexing.ipynb index 43380b14..2ede75cd 100644 --- a/intermediate/indexing/advanced-indexing.ipynb +++ b/intermediate/indexing/advanced-indexing.ipynb @@ -907,13 +907,6 @@ " The output of orthogonal indexing is a 3x3 array, while the output of vectorized indexing is a 1D array." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The principle of outer or orthogonal indexing is that the result mirrors the effect of independently indexing along each dimension with integer or boolean arrays, treating both the indexed and indexing arrays as one-dimensional." - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1818,7 +1811,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 51, "metadata": { "tags": [] }, @@ -2216,7 +2209,7 @@ " lon (degrees_east) float32 200.0 200.0 202.5 205.0\n", " * time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n", "Dimensions without coordinates: degrees_north, degrees_east\n", - "Attributes: (11)
  • long_name :
    4xDaily Air temperature at sigma level 995
    units :
    degK
    precision :
    2
    GRIB_id :
    11
    GRIB_name :
    TMP
    var_desc :
    Air temperature
    dataset :
    NMC Reanalysis
    level_desc :
    Surface
    statistic :
    Individual Obs
    parent_stat :
    Other
    actual_range :
    [185.16 322.1 ]
    • " ], "text/plain": [ "\n", @@ -2283,7 +2276,7 @@ "Attributes: (11)" ] }, - "execution_count": 41, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -2295,18 +2288,6 @@ "da_air.sel(lat=target_lat, lon=target_lon, method=\"nearest\") # -- orthogonal indexing" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "target_lat = xr.DataArray([31, 41, 42, 42], dims=\"degrees_north\")\n", - "target_lon = xr.DataArray([200, 201, 202, 205], dims=\"degrees_east\")\n", - "\n", - "da.sel(lat=target_lat, lon=target_lon, method=\"nearest\") # -- orthogonal indexing" - ] - }, { "cell_type": "markdown", "metadata": {},