mirror of
https://github.com/donnemartin/data-science-ipython-notebooks.git
synced 2024-03-22 13:30:56 +08:00
Added snippet to drop a column in a DataFrame. Renamed pop to population to avoid clashing with the DataFrame pop function.
This commit is contained in:
Donne Martin
parent
f31a289eab
commit
d6348012a4
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:1c8b7cab9b55eb5888612d0b5149649565c258456e73e61b039225439aa11502"
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"signature": "sha256:b619f1fd1f2d4495d6a2fe9d048c09b7319b119d4e10a5b2348f0ac6f380a27c"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -45,7 +45,7 @@
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"input": [
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"data_1 = {'state' : ['VA', 'VA', 'VA', 'MD', 'MD'],\n",
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" 'year' : [2012, 2013, 2014, 2014, 2015],\n",
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" 'pop' : [5.0, 5.1, 5.2, 4.0, 4.1]}\n",
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" 'population' : [5.0, 5.1, 5.2, 4.0, 4.1]}\n",
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"df_1 = DataFrame(data_1)\n",
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"df_1"
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],
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@ -59,7 +59,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -103,12 +103,12 @@
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"output_type": "pyout",
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"prompt_number": 2,
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"text": [
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" pop state year\n",
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"0 5.0 VA 2012\n",
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"1 5.1 VA 2013\n",
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"2 5.2 VA 2014\n",
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"3 4.0 MD 2014\n",
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"4 4.1 MD 2015"
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" population state year\n",
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"0 5.0 VA 2012\n",
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"1 5.1 VA 2013\n",
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"2 5.2 VA 2014\n",
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"3 4.0 MD 2014\n",
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"4 4.1 MD 2015"
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]
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}
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],
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@ -130,7 +130,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -162,10 +162,10 @@
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"output_type": "pyout",
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"prompt_number": 3,
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"text": [
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" pop state year\n",
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"0 5.0 VA 2012\n",
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"1 5.1 VA 2013\n",
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"2 5.2 VA 2014"
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" population state year\n",
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"0 5.0 VA 2012\n",
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"1 5.1 VA 2013\n",
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"2 5.2 VA 2014"
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]
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}
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],
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@ -195,7 +195,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -239,12 +239,12 @@
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"output_type": "pyout",
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"prompt_number": 4,
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"text": [
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" pop state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MD 2014\n",
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"4 4.1 MD 2015"
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" population state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MD 2014\n",
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"4 4.1 MD 2015"
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]
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}
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],
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@ -274,7 +274,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -318,17 +318,90 @@
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"output_type": "pyout",
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"prompt_number": 5,
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"text": [
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" pop state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MARYLAND 2014\n",
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"4 4.1 MARYLAND 2015"
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" population state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MARYLAND 2014\n",
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"4 4.1 MARYLAND 2015"
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]
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}
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],
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"prompt_number": 5
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Drop the 'population' column and return a copy of the DataFrame:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"df_2 = df_1.drop('population', axis=1)\n",
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"df_2"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td> VIRGINIA</td>\n",
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" <td> 2012</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td> VIRGINIA</td>\n",
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" <td> 2013</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td> VIRGINIA</td>\n",
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" <td> 2014</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td> MARYLAND</td>\n",
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" <td> 2014</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td> MARYLAND</td>\n",
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" <td> 2015</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 6,
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"text": [
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" state year\n",
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"0 VIRGINIA 2012\n",
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"1 VIRGINIA 2013\n",
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"2 VIRGINIA 2014\n",
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"3 MARYLAND 2014\n",
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"4 MARYLAND 2015"
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]
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}
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],
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"prompt_number": 6
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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@ -342,9 +415,9 @@
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"input": [
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"data_2 = {'state' : ['NY', 'NY', 'NY', 'FL', 'FL'],\n",
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" 'year' : [2012, 2013, 2014, 2014, 2015],\n",
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" 'pop' : [6.0, 6.1, 6.2, 3.0, 3.1]}\n",
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"df_2 = DataFrame(data_2)\n",
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"df_2"
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" 'population' : [6.0, 6.1, 6.2, 3.0, 3.1]}\n",
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"df_3 = DataFrame(data_2)\n",
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"df_3"
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],
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"language": "python",
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"metadata": {},
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@ -356,7 +429,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -398,25 +471,25 @@
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 6,
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"prompt_number": 7,
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"text": [
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" pop state year\n",
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"0 6.0 NY 2012\n",
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"1 6.1 NY 2013\n",
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"2 6.2 NY 2014\n",
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"3 3.0 FL 2014\n",
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"4 3.1 FL 2015"
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" population state year\n",
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"0 6.0 NY 2012\n",
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"1 6.1 NY 2013\n",
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"2 6.2 NY 2014\n",
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"3 3.0 FL 2014\n",
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"4 3.1 FL 2015"
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]
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}
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],
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"prompt_number": 6
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"prompt_number": 7
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"df_3 = pd.concat([df_1, df_2])\n",
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"df_3"
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"df_4 = pd.concat([df_1, df_3])\n",
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"df_4"
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],
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"language": "python",
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"metadata": {},
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@ -428,7 +501,7 @@
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>pop</th>\n",
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" <th>population</th>\n",
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" <th>state</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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@ -500,23 +573,23 @@
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 7,
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"prompt_number": 8,
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"text": [
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" pop state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MARYLAND 2014\n",
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"4 4.1 MARYLAND 2015\n",
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"0 6.0 NY 2012\n",
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"1 6.1 NY 2013\n",
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"2 6.2 NY 2014\n",
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"3 3.0 FL 2014\n",
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"4 3.1 FL 2015"
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" population state year\n",
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"0 5.0 VIRGINIA 2012\n",
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"1 5.1 VIRGINIA 2013\n",
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"2 5.2 VIRGINIA 2014\n",
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"3 4.0 MARYLAND 2014\n",
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"4 4.1 MARYLAND 2015\n",
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"0 6.0 NY 2012\n",
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"1 6.1 NY 2013\n",
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"2 6.2 NY 2014\n",
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"3 3.0 FL 2014\n",
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"4 3.1 FL 2015"
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]
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}
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],
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"prompt_number": 7
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"prompt_number": 8
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},
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{
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"cell_type": "code",
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@ -525,7 +598,7 @@
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 7
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"prompt_number": 8
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}
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],
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"metadata": {}
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