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Notes taken on 6/20/22, updating my fork #156

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Notes taken on 6/20/22, updating my fork #156

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539 changes: 367 additions & 172 deletions pandas/10_pivot/pandas_pivot.ipynb
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57 changes: 35 additions & 22 deletions pandas/11_melt/pandas_melt_tutorial.ipynb
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Original file line number Diff line number Diff line change
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"metadata": {
"collapsed": false,
"scrolled": false
@@ -19,18 +19,18 @@
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
@@ -107,7 +107,7 @@
"6 Sunday 25 77 47"
]
},
"execution_count": 2,
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
@@ -120,7 +120,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"metadata": {
"collapsed": false,
"scrolled": true
@@ -130,18 +130,18 @@
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
@@ -308,23 +308,31 @@
"20 Sunday berlin 47"
]
},
"execution_count": 3,
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"melted = pd.melt(df, id_vars=[\"day\"], var_name='city', value_name='temperature')\n",
"melted = pd.melt(df, id_vars=[\"day\"], var_name='city', value_name='temperature') #This essentially creates a new dataframe\n",
"#id_vars is the id\n",
"melted"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"display_name": "Python 3.9.10 ('base')",
"language": "python",
"name": "conda-root-py"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -336,7 +344,12 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.9.10"
},
"vscode": {
"interpreter": {
"hash": "1e1fa977a078a67ca01175e649d62c3c39998bf89b903f21486dce3884132635"
}
}
},
"nbformat": 4,
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