From 3054ad0d65cafd57d025c932d9c48e7911a381b8 Mon Sep 17 00:00:00 2001
From: Jose Miguel Ladino Mendez <ladinoj@jupyterMiLAB>
Date: Thu, 18 Feb 2021 23:34:41 -0500
Subject: [PATCH] =?UTF-8?q?Entrega=20de=20tarea=20clase05=20modificaci?=
=?UTF-8?q?=C3=B3n=20final?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
Entrega.html | 3 +--
Entrega.ipynb | 3 +--
2 files changed, 2 insertions(+), 4 deletions(-)
diff --git a/Entrega.html b/Entrega.html
index 61c7c05..34bff42 100644
--- a/Entrega.html
+++ b/Entrega.html
@@ -20128,8 +20128,7 @@ Mediana : 3.49839915953825
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="CodeMirror cm-s-jupyter">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
-<span class="c1"># -- crear un data frame con esa información</span>
-<span class="c1"># -- crear un array con todas las cantidades calculadas anteriormente para el FWHM</span>
+
<span class="n">datos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="n">sigmaBN</span><span class="p">,</span><span class="n">mediaBN</span><span class="p">,</span><span class="n">medianaBN</span><span class="p">],</span>
<span class="p">[</span><span class="n">sigmaR</span><span class="p">,</span><span class="n">mediaR</span><span class="p">,</span><span class="n">medianaR</span><span class="p">],</span>
<span class="p">[</span><span class="n">sigmaG</span><span class="p">,</span><span class="n">mediaG</span><span class="p">,</span><span class="n">medianaG</span><span class="p">],</span>
diff --git a/Entrega.ipynb b/Entrega.ipynb
index 9ae1c93..6934eff 100644
--- a/Entrega.ipynb
+++ b/Entrega.ipynb
@@ -4253,8 +4253,7 @@
],
"source": [
"import pandas as pd\n",
- "# -- crear un data frame con esa información\n",
- "# -- crear un array con todas las cantidades calculadas anteriormente para el FWHM\n",
+ "\n",
"datos = np.array([[sigmaBN,mediaBN,medianaBN],\n",
" [sigmaR,mediaR,medianaR],\n",
" [sigmaG,mediaG,medianaG],\n",
--
GitLab