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update to DataFrames 0.11.7
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‎01_constructors.ipynb

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‎02_basicinfo.ipynb

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"metadata": {},
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"source": [
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"# Introduction to DataFrames\n",
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"**[Bogumił Kamiński](http://bogumilkaminski.pl/about/), May 23, 2018**"
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"**[Bogumił Kamiński](http://bogumilkaminski.pl/about/), July 25, 2018**"
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]
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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"metadata": {},
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"outputs": [],
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"source": [
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"using DataFrames # load package"
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"A\n",
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"Summary Stats:\n",
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"Mean: 1.500000\n",
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"Minimum: 1.000000\n",
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"1st Quartile: 1.250000\n",
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"Median: 1.500000\n",
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"3rd Quartile: 1.750000\n",
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"Maximum: 2.000000\n",
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"Length: 2\n",
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"Type: Int64\n",
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"\n",
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"B\n",
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"Summary Stats:\n",
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"Mean: 1.000000\n",
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"Minimum: 1.000000\n",
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"1st Quartile: 1.000000\n",
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"Median: 1.000000\n",
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"3rd Quartile: 1.000000\n",
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"Maximum: 1.000000\n",
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"Length: 2\n",
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"Type: Union{Float64, Missings.Missing}\n",
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"Number Missing: 1\n",
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"% Missing: 50.000000\n",
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"\n",
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"C\n",
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"Summary Stats:\n",
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"Length: 2\n",
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"Type: String\n",
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"Number Unique: 2\n",
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"\n"
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]
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"data": {
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"text/html": [
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"<table class=\"data-frame\"><thead><tr><th></th><th>variable</th><th>mean</th><th>min</th><th>median</th><th>max</th><th>nunique</th><th>nmissing</th><th>eltype</th></tr></thead><tbody><tr><th>1</th><td>A</td><td>1.5</td><td>1</td><td>1.5</td><td>2</td><td></td><td></td><td>Int64</td></tr><tr><th>2</th><td>B</td><td>1.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td></td><td>1</td><td>Float64</td></tr><tr><th>3</th><td>C</td><td></td><td>a</td><td></td><td>b</td><td>2</td><td></td><td>String</td></tr></tbody></table>"
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],
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"text/plain": [
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"3×8 DataFrames.DataFrame\n",
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"│ Row │ variable │ mean │ min │ median │ max │ nunique │ nmissing │ eltype │\n",
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"├─────┼──────────┼──────┼─────┼────────┼─────┼─────────┼──────────┼─────────┤\n",
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"│ 1 │ A │ 1.5 │ 1 │ 1.5 │ 2 │ │ │ Int64 │\n",
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"│ 2 │ B │ 1.0 │ 1.0 │ 1.0 │ 1.0 │ │ 1 │ Float64 │\n",
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"│ 3 │ C │ │ a │ │ b │ 2 │ │ String │"
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]
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},
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"metadata": {},
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"output_type": "execute_result"
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}
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"source": [
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"describe(x)"
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]
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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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"Use `showcols` to get informaton about columns stored in a DataFrame."
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]
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},
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{
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"2×3 DataFrames.DataFrame\n",
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"│ Col # │ Name │ Eltype │ Missing │ Values │\n",
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"├───────┼──────┼──────────────────────────────────┼─────────┼─────────────────┤\n",
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"│ 1 │ A │ Int64 │ 0 │ 1 … 2 │\n",
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"│ 2 │ B │ Union{Float64, Missings.Missing} │ 1 │ 1.0 … missing │\n",
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"│ 3 │ C │ String │ 0 │ a … b │"
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]
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}
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],
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"source": [
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"showcols(x)"
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]
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" :C"
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"output_type": "execute_result"
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"names(x)"
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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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"Future tip: In Julia 0.7 `propertynames` is also supported."
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]
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},
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" String "
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"metadata": {},
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"outputs": [],
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"y = DataFrame(rand(1:10, 1000, 10));"
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"<table class=\"data-frame\"><thead><tr><th></th><th>x1</th><th>x2</th><th>x3</th><th>x4</th><th>x5</th><th>x6</th><th>x7</th><th>x8</th><th>x9</th><th>x10</th></tr></thead><tbody><tr><th>1</th><td>8</td><td>6</td><td>1</td><td>2</td><td>7</td><td>10</td><td>5</td><td>1</td><td>5</td><td>10</td></tr><tr><th>2</th><td>8</td><td>9</td><td>6</td><td>6</td><td>10</td><td>4</td><td>9</td><td>3</td><td>10</td><td>9</td></tr><tr><th>3</th><td>5</td><td>1</td><td>4</td><td>3</td><td>10</td><td>5</td><td>1</td><td>10</td><td>5</td><td>9</td></tr><tr><th>4</th><td>2</td><td>9</td><td>2</td><td>2</td><td>5</td><td>7</td><td>7</td><td>9</td><td>9</td><td>5</td></tr><tr><th>5</th><td>4</td><td>8</td><td>4</td><td>10</td><td>8</td><td>5</td><td>1</td><td>2</td><td>1</td><td>10</td></tr><tr><th>6</th><td>8</td><td>6</td><td>6</td><td>8</td><td>3</td><td>3</td><td>3</td><td>6</td><td>8</td><td>6</td></tr></tbody></table>"
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"<table class=\"data-frame\"><thead><tr><th></th><th>x1</th><th>x2</th><th>x3</th><th>x4</th><th>x5</th><th>x6</th><th>x7</th><th>x8</th><th>x9</th><th>x10</th></tr></thead><tbody><tr><th>1</th><td>4</td><td>1</td><td>2</td><td>8</td><td>10</td><td>7</td><td>5</td><td>1</td><td>8</td><td>3</td></tr><tr><th>2</th><td>5</td><td>6</td><td>6</td><td>3</td><td>2</td><td>4</td><td>9</td><td>10</td><td>10</td><td>4</td></tr><tr><th>3</th><td>3</td><td>5</td><td>4</td><td>8</td><td>4</td><td>4</td><td>4</td><td>6</td><td>6</td><td>9</td></tr><tr><th>4</th><td>8</td><td>8</td><td>2</td><td>6</td><td>7</td><td>3</td><td>6</td><td>4</td><td>10</td><td>6</td></tr><tr><th>5</th><td>1</td><td>2</td><td>6</td><td>10</td><td>4</td><td>7</td><td>7</td><td>7</td><td>5</td><td>4</td></tr><tr><th>6</th><td>5</td><td>7</td><td>9</td><td>10</td><td>5</td><td>1</td><td>6</td><td>2</td><td>3</td><td>4</td></tr></tbody></table>"
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"text/plain": [
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"6×10 DataFrames.DataFrame\n",
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"│ Row │ x1 │ x2 │ x3 │ x4 │ x5 │ x6 │ x7 │ x8 │ x9 │ x10 │\n",
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"├─────┼────┼────┼────┼────┼────┼────┼────┼────┼────┼─────┤\n",
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"│ 2 │ 8 │ 9 │ 6 │ 6 │ 10 │ 4 │ 9 │ 3 │ 10 │ 9 │\n",
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"│ 3 │ 5 │ 1 │ 4 │ 3 │ 10 │ 5 │ 1 │ 10 │ 5 │ 9 │\n",
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"│ 6 │ 8 │ 6 │ 6 │ 8 │ 3 │ 3 │ 3 │ 6 │ 8 │ 6 │"
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"│ 1 │ 4 │ 1 │ 2 │ 8 │ 10 │ 7 │ 5 │ 1 │ 8 │ 3 │\n",
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"│ 2 │ 5 │ 6 │ 6 │ 3 │ 2 │ 4 │ 9 │ 10 │ 10 │ 4 │\n",
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"│ 3 │ 3 │ 5 │ 4 │ 8 │ 4 │ 4 │ 4 │ 6 │ 6 │ 9 │\n",
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"│ 4 │ 8 │ 8 │ 2 │ 6 │ 7 │ 3 │ 6 │ 4 │ 10 │ 6 │\n",
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"│ 5 │ 1 │ 2 │ 6 │ 10 │ 4 │ 7 │ 7 │ 7 │ 5 │ 4 │\n",
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"│ 6 │ 5 │ 7 │ 9 │ 10 │ 5 │ 1 │ 6 │ 2 │ 3 │ 4 │"
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"text/html": [
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"├─────┼────┼────┼────┼────┼────┼────┼────┼────┼────┼─────┤\n",
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"source": [
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"Future tip: In Julia 0.7 also accessing column using `x.A` syntax (`getproperty`/`setproperty!`) is supported."
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]
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