io.html 21.7 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.9.2" />
<title>src.io API documentation</title>
<meta name="description" content="Module handling input and output" />
<link rel="preload stylesheet" as="style" href="https://cdnjs.cloudflare.com/ajax/libs/10up-sanitize.css/11.0.1/sanitize.min.css" integrity="sha256-PK9q560IAAa6WVRRh76LtCaI8pjTJ2z11v0miyNNjrs=" crossorigin>
<link rel="preload stylesheet" as="style" href="https://cdnjs.cloudflare.com/ajax/libs/10up-sanitize.css/11.0.1/typography.min.css" integrity="sha256-7l/o7C8jubJiy74VsKTidCy1yBkRtiUGbVkYBylBqUg=" crossorigin>
<link rel="stylesheet preload" as="style" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.1/styles/github.min.css" crossorigin>
<style>:root{--highlight-color:#fe9}.flex{display:flex !important}body{line-height:1.5em}#content{padding:20px}#sidebar{padding:30px;overflow:hidden}#sidebar > *:last-child{margin-bottom:2cm}.http-server-breadcrumbs{font-size:130%;margin:0 0 15px 0}#footer{font-size:.75em;padding:5px 30px;border-top:1px solid #ddd;text-align:right}#footer p{margin:0 0 0 1em;display:inline-block}#footer p:last-child{margin-right:30px}h1,h2,h3,h4,h5{font-weight:300}h1{font-size:2.5em;line-height:1.1em}h2{font-size:1.75em;margin:1em 0 .50em 0}h3{font-size:1.4em;margin:25px 0 10px 0}h4{margin:0;font-size:105%}h1:target,h2:target,h3:target,h4:target,h5:target,h6:target{background:var(--highlight-color);padding:.2em 0}a{color:#058;text-decoration:none;transition:color .3s ease-in-out}a:hover{color:#e82}.title code{font-weight:bold}h2[id^="header-"]{margin-top:2em}.ident{color:#900}pre code{background:#f8f8f8;font-size:.8em;line-height:1.4em}code{background:#f2f2f1;padding:1px 4px;overflow-wrap:break-word}h1 code{background:transparent}pre{background:#f8f8f8;border:0;border-top:1px solid #ccc;border-bottom:1px solid #ccc;margin:1em 0;padding:1ex}#http-server-module-list{display:flex;flex-flow:column}#http-server-module-list div{display:flex}#http-server-module-list dt{min-width:10%}#http-server-module-list p{margin-top:0}.toc ul,#index{list-style-type:none;margin:0;padding:0}#index code{background:transparent}#index h3{border-bottom:1px solid #ddd}#index ul{padding:0}#index h4{margin-top:.6em;font-weight:bold}@media (min-width:200ex){#index .two-column{column-count:2}}@media (min-width:300ex){#index .two-column{column-count:3}}dl{margin-bottom:2em}dl dl:last-child{margin-bottom:4em}dd{margin:0 0 1em 3em}#header-classes + dl > dd{margin-bottom:3em}dd dd{margin-left:2em}dd p{margin:10px 0}.name{background:#eee;font-weight:bold;font-size:.85em;padding:5px 10px;display:inline-block;min-width:40%}.name:hover{background:#e0e0e0}dt:target .name{background:var(--highlight-color)}.name > span:first-child{white-space:nowrap}.name.class > span:nth-child(2){margin-left:.4em}.inherited{color:#999;border-left:5px solid #eee;padding-left:1em}.inheritance em{font-style:normal;font-weight:bold}.desc h2{font-weight:400;font-size:1.25em}.desc h3{font-size:1em}.desc dt code{background:inherit}.source summary,.git-link-div{color:#666;text-align:right;font-weight:400;font-size:.8em;text-transform:uppercase}.source summary > *{white-space:nowrap;cursor:pointer}.git-link{color:inherit;margin-left:1em}.source pre{max-height:500px;overflow:auto;margin:0}.source pre code{font-size:12px;overflow:visible}.hlist{list-style:none}.hlist li{display:inline}.hlist li:after{content:',\2002'}.hlist li:last-child:after{content:none}.hlist .hlist{display:inline;padding-left:1em}img{max-width:100%}td{padding:0 .5em}.admonition{padding:.1em .5em;margin-bottom:1em}.admonition-title{font-weight:bold}.admonition.note,.admonition.info,.admonition.important{background:#aef}.admonition.todo,.admonition.versionadded,.admonition.tip,.admonition.hint{background:#dfd}.admonition.warning,.admonition.versionchanged,.admonition.deprecated{background:#fd4}.admonition.error,.admonition.danger,.admonition.caution{background:lightpink}</style>
<style media="screen and (min-width: 700px)">@media screen and (min-width:700px){#sidebar{width:30%;height:100vh;overflow:auto;position:sticky;top:0}#content{width:70%;max-width:100ch;padding:3em 4em;border-left:1px solid #ddd}pre code{font-size:1em}.item .name{font-size:1em}main{display:flex;flex-direction:row-reverse;justify-content:flex-end}.toc ul ul,#index ul{padding-left:1.5em}.toc > ul > li{margin-top:.5em}}</style>
<style media="print">@media print{#sidebar h1{page-break-before:always}.source{display:none}}@media print{*{background:transparent !important;color:#000 !important;box-shadow:none !important;text-shadow:none !important}a[href]:after{content:" (" attr(href) ")";font-size:90%}a[href][title]:after{content:none}abbr[title]:after{content:" (" attr(title) ")"}.ir a:after,a[href^="javascript:"]:after,a[href^="#"]:after{content:""}pre,blockquote{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}tr,img{page-break-inside:avoid}img{max-width:100% !important}@page{margin:0.5cm}p,h2,h3{orphans:3;widows:3}h1,h2,h3,h4,h5,h6{page-break-after:avoid}}</style>
<script defer src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.1/highlight.min.js" integrity="sha256-Uv3H6lx7dJmRfRvH8TH6kJD1TSK1aFcwgx+mdg3epi8=" crossorigin></script>
<script>window.addEventListener('DOMContentLoaded', () => hljs.initHighlighting())</script>
</head>
<body>
<main>
<article id="content">
<header>
<h1 class="title">Module <code>src.io</code></h1>
</header>
<section id="section-intro">
<p>Module handling input and output</p>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">&#34;&#34;&#34;
Module handling input and output
&#34;&#34;&#34;

import sys
import re
from typing import Dict

import netCDF4

import numpy as np

def read_netcdf(filename: str) -&gt; Dict[str, np.ndarray]:
    &#34;&#34;&#34;
    Reads a TWS netcdf file as provided from GravIS

    Args:
        filename: string

    Returns:
        Dict[str, np.ndarray]
    &#34;&#34;&#34;
    try:
        with netCDF4.Dataset(filename, &#39;r&#39;) as data:
            lon = data.variables[&#39;lon&#39;][:]
            lat = data.variables[&#39;lat&#39;][:]
            time = data.variables[&#39;time&#39;][:]
            grid = data.variables[&#39;tws&#39;][:]
            grid_std = data.variables[&#39;std_tws&#39;][:]
        grid_std = np.array([np.nanmean(g) for g in grid_std])
    except Exception:
        print(&#34; Failed to read %s. &#34;
              &#34;Variable names in file have to be: lon, lat, time, tws, std_tws&#34; %filename)
        sys.exit()

    return grid, grid_std, lon, lat, time

def read_ascii(filename: str) -&gt; np.ndarray:
    &#34;&#34;&#34;
    Reads an Ascii file with coordinates

    Args:
        filename: string

    Returns:
        np.array
    &#34;&#34;&#34;
    try:
        with open(filename) as fid:
            coords = []
            for l_i in fid:
                if l_i[0]==&#39;#&#39;:
                    continue
                line = [float(i) for i in re.split(r&#39;\s+&#39;, l_i.strip())]
                coords.append([line[0], line[1]])
    except Exception:
        print(&#34;Could not read %s: Please ensure that every line contains two columns and &#34;
              &#34;comment lines are indicated with &#39;#&#39;&#34; %filename)
        sys.exit()
    return coords

def test_coordiantes(filename: str):
    &#34;&#34;&#34;
    Tests if more than 2 coordinates are given in the file

    Args:
        filename: string
    &#34;&#34;&#34;
    coords = read_ascii(filename)

    lon = np.array([r[0] for r in coords])
    lat = np.array([r[1] for r in coords])
    if len(lon)&lt;2:
        raise RuntimeError(&#34;Coordinate list of region have to contain at least 2 points&#34;)

    u_lon = np.unique(lon)
    u_lat = np.unique(lat)

    if not same_dist_elems(u_lon):
        raise RuntimeError(&#34;Longitudes of region not evenly spaced&#34;)
    if not same_dist_elems(u_lat):
        raise RuntimeError(&#34;Latitudes of region not evenly spaced&#34;)


def same_dist_elems(arr: np.ndarray) -&gt; bool:
    &#34;&#34;&#34;
    Tests if coordinates are evenly spaced

    Args:
        arr: numpy array
    &#34;&#34;&#34;
    diff = arr[1] - arr[0]
    for x_i in range(1, len(arr) - 1):
        if arr[x_i + 1] - arr[x_i] != diff:
            return False
    return True

def save_results(outname: str,
                 inname: str,
                 results: Dict[str, np.ndarray],
                 region_coords:  np.ndarray,
                 timeseries:  np.ndarray,
                 flag_uncertainty: bool,
                 flag_matrix: bool,
                 flag_timeseries: bool):
    &#34;&#34;&#34;
    Saving the results of the regional tws uncerty tools to a NetCDF file

    Args:
        outname: str
        inname: str
        results: Dict[str, np.ndarray]
        region_coords: np.array
        timeseries: np.array
        flag_uncertainty: bool
        flag_matrix: bool
        flag_timeseries: bool

    &#34;&#34;&#34;
    lon = np.array([r[0] for r in region_coords])
    lat = np.array([r[1] for r in region_coords])

    with netCDF4.Dataset(inname, format=&#39;NETCDF4&#39;) as sin:
        time = sin.variables[&#39;time&#39;][:]
        time_unit = sin.variables[&#39;time&#39;].units
        time_calendar = sin.variables[&#39;time&#39;].calendar

        tws_unit = sin.variables[&#39;tws&#39;].units

    try:
        with netCDF4.Dataset(outname, &#39;w&#39;, format=&#39;NETCDF4&#39;) as sout:
            sout.createDimension(&#39;time&#39;, len(time))
            time_out = sout.createVariable(&#39;time&#39;, &#39;i4&#39;, &#39;time&#39;)
            time_out.units = time_unit
            time_out.calendar = time_calendar
            time_out[:] = time

            sout.createDimension(&#39;pointID&#39;, len(region_coords))
            coords_id = sout.createVariable(&#39;pointID&#39;, &#39;i4&#39;, &#39;pointID&#39;)
            coords_id[:] = np.arange(0, len(region_coords))

            coords_lon = sout.createVariable(&#39;lon&#39;, &#39;f4&#39;, (&#39;pointID&#39;))
            coords_lon[:] = lon
            coords_lon.long_name = &#34;Lon coordinates tuple of the grid points of the region&#34;
            coords_lon.units = &#34;degrees_north&#34;

            coords_lat = sout.createVariable(&#39;lat&#39;, &#39;f4&#39;, (&#39;pointID&#39;))
            coords_lat[:] = lat
            coords_lat.long_name = &#34;Lat coordinates tuple of the grid points of the region&#34;
            coords_lat.units = &#34;degrees_east&#34;

            if flag_uncertainty:
                uncertainty = sout.createVariable(&#39;std&#39;, &#39;f4&#39;, &#39;time&#39;)
                uncertainty.units = tws_unit
                uncertainty.long_name = &#34;standard deviation of regions mean tws time series&#34;
                uncertainty[:] = results[&#39;uncertainty&#39;]
            if flag_matrix:
                cov_matrix = sout.createVariable(&#39;cov_matrix&#39;, &#39;f4&#39;, (&#39;time&#39;,&#39;pointID&#39;, &#39;pointID&#39;))
                cov_matrix.long_name = &#34;Covariance matrix between all points of the region&#34;
                cov_matrix.units = tws_unit + &#39;*&#39; + tws_unit
                cov_matrix[:] = results[&#39;matrix&#39;]
            if flag_timeseries:
                timeseries_out = sout.createVariable(&#39;tws_timeseries&#39;, &#39;f4&#39;, &#39;time&#39;)
                timeseries_out.units = tws_unit
                timeseries_out.long_name = &#34;Regions mean tws time series&#34;
                timeseries_out[:] = timeseries
    except PermissionError:
        print(&#34;Could not open %s for writing results&#34; %outname)
        sys.exit()</code></pre>
</details>
</section>
<section>
</section>
<section>
</section>
<section>
<h2 class="section-title" id="header-functions">Functions</h2>
<dl>
<dt id="src.io.read_ascii"><code class="name flex">
<span>def <span class="ident">read_ascii</span></span>(<span>filename: str) ‑> numpy.ndarray</span>
</code></dt>
<dd>
<div class="desc"><p>Reads an Ascii file with coordinates</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>filename</code></strong></dt>
<dd>string</dd>
</dl>
<h2 id="returns">Returns</h2>
<p>np.array</p></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def read_ascii(filename: str) -&gt; np.ndarray:
    &#34;&#34;&#34;
    Reads an Ascii file with coordinates

    Args:
        filename: string

    Returns:
        np.array
    &#34;&#34;&#34;
    try:
        with open(filename) as fid:
            coords = []
            for l_i in fid:
                if l_i[0]==&#39;#&#39;:
                    continue
                line = [float(i) for i in re.split(r&#39;\s+&#39;, l_i.strip())]
                coords.append([line[0], line[1]])
    except Exception:
        print(&#34;Could not read %s: Please ensure that every line contains two columns and &#34;
              &#34;comment lines are indicated with &#39;#&#39;&#34; %filename)
        sys.exit()
    return coords</code></pre>
</details>
</dd>
<dt id="src.io.read_netcdf"><code class="name flex">
<span>def <span class="ident">read_netcdf</span></span>(<span>filename: str) ‑> Dict[str, numpy.ndarray]</span>
</code></dt>
<dd>
<div class="desc"><p>Reads a TWS netcdf file as provided from GravIS</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>filename</code></strong></dt>
<dd>string</dd>
</dl>
<h2 id="returns">Returns</h2>
<p>Dict[str, np.ndarray]</p></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def read_netcdf(filename: str) -&gt; Dict[str, np.ndarray]:
    &#34;&#34;&#34;
    Reads a TWS netcdf file as provided from GravIS

    Args:
        filename: string

    Returns:
        Dict[str, np.ndarray]
    &#34;&#34;&#34;
    try:
        with netCDF4.Dataset(filename, &#39;r&#39;) as data:
            lon = data.variables[&#39;lon&#39;][:]
            lat = data.variables[&#39;lat&#39;][:]
            time = data.variables[&#39;time&#39;][:]
            grid = data.variables[&#39;tws&#39;][:]
            grid_std = data.variables[&#39;std_tws&#39;][:]
        grid_std = np.array([np.nanmean(g) for g in grid_std])
    except Exception:
        print(&#34; Failed to read %s. &#34;
              &#34;Variable names in file have to be: lon, lat, time, tws, std_tws&#34; %filename)
        sys.exit()

    return grid, grid_std, lon, lat, time</code></pre>
</details>
</dd>
<dt id="src.io.same_dist_elems"><code class="name flex">
<span>def <span class="ident">same_dist_elems</span></span>(<span>arr: numpy.ndarray) ‑> bool</span>
</code></dt>
<dd>
<div class="desc"><p>Tests if coordinates are evenly spaced</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>arr</code></strong></dt>
<dd>numpy array</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def same_dist_elems(arr: np.ndarray) -&gt; bool:
    &#34;&#34;&#34;
    Tests if coordinates are evenly spaced

    Args:
        arr: numpy array
    &#34;&#34;&#34;
    diff = arr[1] - arr[0]
    for x_i in range(1, len(arr) - 1):
        if arr[x_i + 1] - arr[x_i] != diff:
            return False
    return True</code></pre>
</details>
</dd>
<dt id="src.io.save_results"><code class="name flex">
<span>def <span class="ident">save_results</span></span>(<span>outname: str, inname: str, results: Dict[str, numpy.ndarray], region_coords: numpy.ndarray, timeseries: numpy.ndarray, flag_uncertainty: bool, flag_matrix: bool, flag_timeseries: bool)</span>
</code></dt>
<dd>
<div class="desc"><p>Saving the results of the regional tws uncerty tools to a NetCDF file</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>outname</code></strong></dt>
<dd>str</dd>
<dt><strong><code>inname</code></strong></dt>
<dd>str</dd>
<dt><strong><code>results</code></strong></dt>
<dd>Dict[str, np.ndarray]</dd>
<dt><strong><code>region_coords</code></strong></dt>
<dd>np.array</dd>
<dt><strong><code>timeseries</code></strong></dt>
<dd>np.array</dd>
<dt><strong><code>flag_uncertainty</code></strong></dt>
<dd>bool</dd>
<dt><strong><code>flag_matrix</code></strong></dt>
<dd>bool</dd>
<dt><strong><code>flag_timeseries</code></strong></dt>
<dd>bool</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def save_results(outname: str,
                 inname: str,
                 results: Dict[str, np.ndarray],
                 region_coords:  np.ndarray,
                 timeseries:  np.ndarray,
                 flag_uncertainty: bool,
                 flag_matrix: bool,
                 flag_timeseries: bool):
    &#34;&#34;&#34;
    Saving the results of the regional tws uncerty tools to a NetCDF file

    Args:
        outname: str
        inname: str
        results: Dict[str, np.ndarray]
        region_coords: np.array
        timeseries: np.array
        flag_uncertainty: bool
        flag_matrix: bool
        flag_timeseries: bool

    &#34;&#34;&#34;
    lon = np.array([r[0] for r in region_coords])
    lat = np.array([r[1] for r in region_coords])

    with netCDF4.Dataset(inname, format=&#39;NETCDF4&#39;) as sin:
        time = sin.variables[&#39;time&#39;][:]
        time_unit = sin.variables[&#39;time&#39;].units
        time_calendar = sin.variables[&#39;time&#39;].calendar

        tws_unit = sin.variables[&#39;tws&#39;].units

    try:
        with netCDF4.Dataset(outname, &#39;w&#39;, format=&#39;NETCDF4&#39;) as sout:
            sout.createDimension(&#39;time&#39;, len(time))
            time_out = sout.createVariable(&#39;time&#39;, &#39;i4&#39;, &#39;time&#39;)
            time_out.units = time_unit
            time_out.calendar = time_calendar
            time_out[:] = time

            sout.createDimension(&#39;pointID&#39;, len(region_coords))
            coords_id = sout.createVariable(&#39;pointID&#39;, &#39;i4&#39;, &#39;pointID&#39;)
            coords_id[:] = np.arange(0, len(region_coords))

            coords_lon = sout.createVariable(&#39;lon&#39;, &#39;f4&#39;, (&#39;pointID&#39;))
            coords_lon[:] = lon
            coords_lon.long_name = &#34;Lon coordinates tuple of the grid points of the region&#34;
            coords_lon.units = &#34;degrees_north&#34;

            coords_lat = sout.createVariable(&#39;lat&#39;, &#39;f4&#39;, (&#39;pointID&#39;))
            coords_lat[:] = lat
            coords_lat.long_name = &#34;Lat coordinates tuple of the grid points of the region&#34;
            coords_lat.units = &#34;degrees_east&#34;

            if flag_uncertainty:
                uncertainty = sout.createVariable(&#39;std&#39;, &#39;f4&#39;, &#39;time&#39;)
                uncertainty.units = tws_unit
                uncertainty.long_name = &#34;standard deviation of regions mean tws time series&#34;
                uncertainty[:] = results[&#39;uncertainty&#39;]
            if flag_matrix:
                cov_matrix = sout.createVariable(&#39;cov_matrix&#39;, &#39;f4&#39;, (&#39;time&#39;,&#39;pointID&#39;, &#39;pointID&#39;))
                cov_matrix.long_name = &#34;Covariance matrix between all points of the region&#34;
                cov_matrix.units = tws_unit + &#39;*&#39; + tws_unit
                cov_matrix[:] = results[&#39;matrix&#39;]
            if flag_timeseries:
                timeseries_out = sout.createVariable(&#39;tws_timeseries&#39;, &#39;f4&#39;, &#39;time&#39;)
                timeseries_out.units = tws_unit
                timeseries_out.long_name = &#34;Regions mean tws time series&#34;
                timeseries_out[:] = timeseries
    except PermissionError:
        print(&#34;Could not open %s for writing results&#34; %outname)
        sys.exit()</code></pre>
</details>
</dd>
<dt id="src.io.test_coordiantes"><code class="name flex">
<span>def <span class="ident">test_coordiantes</span></span>(<span>filename: str)</span>
</code></dt>
<dd>
<div class="desc"><p>Tests if more than 2 coordinates are given in the file</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>filename</code></strong></dt>
<dd>string</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def test_coordiantes(filename: str):
    &#34;&#34;&#34;
    Tests if more than 2 coordinates are given in the file

    Args:
        filename: string
    &#34;&#34;&#34;
    coords = read_ascii(filename)

    lon = np.array([r[0] for r in coords])
    lat = np.array([r[1] for r in coords])
    if len(lon)&lt;2:
        raise RuntimeError(&#34;Coordinate list of region have to contain at least 2 points&#34;)

    u_lon = np.unique(lon)
    u_lat = np.unique(lat)

    if not same_dist_elems(u_lon):
        raise RuntimeError(&#34;Longitudes of region not evenly spaced&#34;)
    if not same_dist_elems(u_lat):
        raise RuntimeError(&#34;Latitudes of region not evenly spaced&#34;)</code></pre>
</details>
</dd>
</dl>
</section>
<section>
</section>
</article>
<nav id="sidebar">
<h1>Index</h1>
<div class="toc">
<ul></ul>
</div>
<ul id="index">
<li><h3>Super-module</h3>
<ul>
<li><code><a title="src" href="index.html">src</a></code></li>
</ul>
</li>
<li><h3><a href="#header-functions">Functions</a></h3>
<ul class="">
<li><code><a title="src.io.read_ascii" href="#src.io.read_ascii">read_ascii</a></code></li>
<li><code><a title="src.io.read_netcdf" href="#src.io.read_netcdf">read_netcdf</a></code></li>
<li><code><a title="src.io.same_dist_elems" href="#src.io.same_dist_elems">same_dist_elems</a></code></li>
<li><code><a title="src.io.save_results" href="#src.io.save_results">save_results</a></code></li>
<li><code><a title="src.io.test_coordiantes" href="#src.io.test_coordiantes">test_coordiantes</a></code></li>
</ul>
</li>
</ul>
</nav>
</main>
<footer id="footer">
<p>Generated by <a href="https://pdoc3.github.io/pdoc"><cite>pdoc</cite> 0.9.2</a>.</p>
</footer>
</body>
</html>