initial commit, some pre-processing for habit data done

This commit is contained in:
Anish 2020-01-18 03:43:20 +11:00
parent fb84180ddb
commit 46bbc71751

496
notebook.ipynb Normal file
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@ -0,0 +1,496 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
"colNames = ['date', 'check']\n",
"meditateChecks = pd.read_csv('LoopHabits/002 Meditate/Checkmarks.csv', names=colNames, header=None)\n",
"meditateScore = pd.read_csv('LoopHabits/002 Meditate/Scores.csv', names=colNames, header=None)"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
"def only2019(df):\n",
" df['drop'] = df['date'].apply(lambda x: 0 if x[0:4] == '2019' else 1)\n",
" df = df.drop(df[df['drop'] == 1].index)\n",
" df = df.drop(columns=['drop'])\n",
" return df\n",
"\n",
"def onlyMarch(df):\n",
" df['drop'] = df['date'].apply(lambda x: 1 if x[5:7] == '01' or x[5:7] == '02' else 0)\n",
" df = df.drop(df[df['drop'] == 1].index)\n",
" df = df.drop(columns=['drop'])\n",
" return df\n",
"\n",
"def longestZero(df):\n",
" pass\n",
"\n",
"def longestStreak(df):\n",
" pass\n",
"\n",
"def bestMonth(df):\n",
" pass\n",
"\n",
"def worstMonth(df):\n",
" pass\n",
"\n",
"def plotScore(df):\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
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"text/plain": [
" date check\n",
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"\n",
"[306 rows x 2 columns]"
]
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"onlyMarch(only2019(meditateChecks))"
]
}
],
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