From 5270c8aea2a3d3a2b1d9549e8b8d70b428687989 Mon Sep 17 00:00:00 2001
From: Kai-Philipp Nosper
Date: Wed, 26 Jan 2022 15:06:22 +0100
Subject: [PATCH 1/2] Add comment for pairplot
---
notebooks/examples/logistic_regression.ipynb | 11 +++++++++++
1 file changed, 11 insertions(+)
diff --git a/notebooks/examples/logistic_regression.ipynb b/notebooks/examples/logistic_regression.ipynb
index 64cd5fb..a6551ab 100644
--- a/notebooks/examples/logistic_regression.ipynb
+++ b/notebooks/examples/logistic_regression.ipynb
@@ -208,6 +208,17 @@
"plt.show()"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "33791bdc",
+ "metadata": {},
+ "source": [
+ "Information about the pairplot graph to know what is displayed:\n",
+ "\n",
+ "\"By default, this function will create a grid of Axes such that each numeric variable in data will by shared across the y-axes across a single row and the x-axes across a single column. The diagonal plots are treated differently: a univariate distribution plot is drawn to show the marginal distribution of the data in each column.\"\n",
+ "https://seaborn.pydata.org/generated/seaborn.pairplot.html"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 5,
--
GitLab
From 3b1b580c858b40ac46bf1887779810061667831e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20M=C3=BCller?=
Date: Wed, 26 Jan 2022 14:38:11 +0000
Subject: [PATCH 2/2] Update logistic_regression.ipynb
---
notebooks/examples/logistic_regression.ipynb | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/notebooks/examples/logistic_regression.ipynb b/notebooks/examples/logistic_regression.ipynb
index a6551ab..c99a320 100644
--- a/notebooks/examples/logistic_regression.ipynb
+++ b/notebooks/examples/logistic_regression.ipynb
@@ -213,7 +213,7 @@
"id": "33791bdc",
"metadata": {},
"source": [
- "Information about the pairplot graph to know what is displayed:\n",
+ "Additional information for the pairplot graph to understand what is displayed on the diagonal:\n",
"\n",
"\"By default, this function will create a grid of Axes such that each numeric variable in data will by shared across the y-axes across a single row and the x-axes across a single column. The diagonal plots are treated differently: a univariate distribution plot is drawn to show the marginal distribution of the data in each column.\"\n",
"https://seaborn.pydata.org/generated/seaborn.pairplot.html"
--
GitLab