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Update 3_4_Visualisation_Pandas.ipynb

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Updated code to last version of seaborn
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Carlos A. Iglesias 2024-02-22 11:55:35 +01:00 committed by GitHub
parent 78e62af098
commit 08dfe5c147
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1 changed files with 4 additions and 5 deletions
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ml2/3_4_Visualisation_Pandas.ipynb
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@ -220,7 +220,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Analise distributon\n", "# Analise distribution\n",
"df.hist(figsize=(10,10))\n", "df.hist(figsize=(10,10))\n",
"plt.show()" "plt.show()"
] ]
@ -233,7 +233,7 @@
"source": [ "source": [
"# We can see the pairwise correlation between variables. A value near 0 means low correlation\n", "# We can see the pairwise correlation between variables. A value near 0 means low correlation\n",
"# while a value near -1 or 1 indicates strong correlation.\n", "# while a value near -1 or 1 indicates strong correlation.\n",
"df.corr()" "df.corr(numeric_only = True)"
] ]
}, },
{ {
@ -249,11 +249,10 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"# General description of relationship betweek variables uwing Seaborn PairGrid\n", "# General description of relationship between variables uwing Seaborn PairGrid\n",
"# We use df_clean, since the null values of df would gives us an error, you can check it.\n", "# We use df_clean, since the null values of df would gives us an error, you can check it.\n",
"g = sns.PairGrid(df_clean, hue=\"Survived\")\n", "g = sns.PairGrid(df_clean, hue=\"Survived\")\n",
"g.map_diag(plt.hist)\n", "g.map(sns.scatterplot)\n",
"g.map_offdiag(plt.scatter)\n",
"g.add_legend()" "g.add_legend()"
] ]
}, },