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Bill Ladwig 8 years ago
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3 changed files with 365 additions and 288 deletions
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  1. 288
      test/ipynb/Doc_Examples.ipynb
  2. 280
      test/ipynb/WRF_python_demo.ipynb
  3. 85
      test/ipynb/nocopy_test.ipynb

288
test/ipynb/Doc_Examples.ipynb
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280
test/ipynb/WRF_python_demo.ipynb
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@ -2,7 +2,10 @@
"cells": [ "cells": [
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
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"source": [ "source": [
"# 1.0 Basic Variable Extraction" "# 1.0 Basic Variable Extraction"
] ]
@ -11,7 +14,9 @@
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@ -28,6 +33,8 @@
"execution_count": null, "execution_count": null,
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@ -38,7 +45,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 1.0.1 DataArray attributes: 'dims', 'coords', 'attrs'" "### 1.0.1 DataArray attributes: 'dims', 'coords', 'attrs'"
] ]
@ -47,7 +57,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -59,7 +71,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 1.0.2 Removing implicit 'squeeze' behavior to preserve single sized dimensions" "### 1.0.2 Removing implicit 'squeeze' behavior to preserve single sized dimensions"
] ]
@ -68,7 +83,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
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@ -78,7 +95,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 1.0.3 Single element metadata" "### 1.0.3 Single element metadata"
] ]
@ -87,7 +107,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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@ -97,7 +119,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
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"source": [ "source": [
"### 1.0.4 Disabling/Enabling xarray" "### 1.0.4 Disabling/Enabling xarray"
] ]
@ -106,7 +131,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
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@ -130,14 +157,20 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"# 2.0 Sequences of Input Files " "# 2.0 Sequences of Input Files "
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 2.0.1 Combining via the 'cat' method" "## 2.0.1 Combining via the 'cat' method"
] ]
@ -146,7 +179,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
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@ -161,7 +196,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 2.0.2 Combining via the 'join' method" "## 2.0.2 Combining via the 'join' method"
] ]
@ -170,7 +208,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -180,7 +220,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"Note how the Time dimension was replaced with the file dimension, due to the 'squeezing' of the Time dimension.\n", "Note how the Time dimension was replaced with the file dimension, due to the 'squeezing' of the Time dimension.\n",
"\n", "\n",
@ -192,7 +235,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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@ -204,7 +249,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 2.0.3 Dictionary Sequences" "## 2.0.3 Dictionary Sequences"
] ]
@ -213,7 +261,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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@ -226,7 +276,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 2.0.4 Generator Sequences" "## 2.0.4 Generator Sequences"
] ]
@ -235,7 +288,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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@ -251,7 +306,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 2.0.5 Custom Iterable Classes" "## 2.0.5 Custom Iterable Classes"
] ]
@ -260,7 +318,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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@ -296,7 +356,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"# 3.0 WRF Variable Computational Routines" "# 3.0 WRF Variable Computational Routines"
] ]
@ -305,7 +368,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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@ -324,7 +389,10 @@
}, },
{ {
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"source": [ "source": [
"(Note all of the NaNs in the above routines which produce missing values (e.g. cape_2d). xarray always converts all masked_array missing values to NaN in order to work with pandas. To get back the original missing values in a numpy masked_array, you need to use the 'to_np' method from wrf.)" "(Note all of the NaNs in the above routines which produce missing values (e.g. cape_2d). xarray always converts all masked_array missing values to NaN in order to work with pandas. To get back the original missing values in a numpy masked_array, you need to use the 'to_np' method from wrf.)"
] ]
@ -333,7 +401,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -347,7 +417,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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@ -358,14 +430,20 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 3.1 Interpolation Routines" "## 3.1 Interpolation Routines"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 3.1.1 Horizontal Level Interpolation" "### 3.1.1 Horizontal Level Interpolation"
] ]
@ -374,7 +452,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -391,7 +471,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 3.1.2 Vertical Cross Section Interpolation" "### 3.1.2 Vertical Cross Section Interpolation"
] ]
@ -400,7 +483,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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"source": [ "source": [
@ -430,7 +515,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@ -483,7 +570,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
}, },
"outputs": [], "outputs": [],
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@ -536,7 +625,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 3.1.3 Interpolate 2D Variable to a Line" "### 3.1.3 Interpolate 2D Variable to a Line"
] ]
@ -545,7 +637,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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@ -590,7 +684,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"### 3.1.4 Vertical Coordinate Interpolation" "### 3.1.4 Vertical Coordinate Interpolation"
] ]
@ -599,7 +696,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
"editable": true
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"source": [ "source": [
@ -682,7 +781,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {
"deletable": true,
"editable": true
},
"source": [ "source": [
"## 3.2 Lat/Lon to X/Y Routines" "## 3.2 Lat/Lon to X/Y Routines"
] ]
@ -691,7 +793,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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@ -730,7 +834,9 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"collapsed": true "collapsed": true,
"deletable": true,
"editable": true
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"source": [ "source": [
"# 4.0 Plotting with Cartopy" "# 4.0 Plotting with Cartopy"
@ -740,7 +846,9 @@
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"collapsed": true "collapsed": true,
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@ -751,7 +859,9 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -795,7 +905,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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@ -874,7 +986,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
"collapsed": false "collapsed": false,
"deletable": true,
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@ -929,6 +1043,8 @@
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
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"scrolled": false "scrolled": false
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@ -959,7 +1075,9 @@
{ {
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"metadata": { "metadata": {
"collapsed": false "collapsed": false,
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"source": [ "source": [
"# Multi-time Moving Domain Files" "# Multi-time Moving Domain Files"
@ -969,7 +1087,9 @@
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@ -991,7 +1111,9 @@
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85
test/ipynb/nocopy_test.ipynb
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"metadata": { "metadata": {
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}, },
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"source": [ "source": [
@ -62,7 +72,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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"source": [ "source": [
@ -73,7 +85,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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@ -84,7 +98,9 @@
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"metadata": { "metadata": {
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}, },
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@ -95,7 +111,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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@ -106,7 +124,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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"editable": true
}, },
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@ -125,7 +145,9 @@
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"metadata": { "metadata": {
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"editable": true
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@ -152,14 +174,19 @@
}, },
{ {
"cell_type": "raw", "cell_type": "raw",
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},
"source": [] "source": []
}, },
{ {
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"metadata": { "metadata": {
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"deletable": true,
"editable": true
}, },
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"source": [ "source": [
@ -189,7 +216,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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"deletable": true,
"editable": true
}, },
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"source": [ "source": [
@ -214,7 +243,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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"source": [ "source": [
@ -235,7 +266,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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"deletable": true,
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}, },
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"source": [ "source": [
@ -276,7 +309,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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@ -294,7 +329,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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@ -423,7 +460,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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}, },
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@ -488,7 +527,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
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@ -549,7 +590,9 @@
"cell_type": "code", "cell_type": "code",
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"metadata": { "metadata": {
"collapsed": true "collapsed": true,
"deletable": true,
"editable": true
}, },
"outputs": [], "outputs": [],
"source": [] "source": []

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