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"source": [
"### 1.4 Plotly Express の様々なグラフ"
]
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"metadata": {},
"source": [
"### 1.4.1 散布図(scatter 関数)"
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"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" country | \n",
" continent | \n",
" year | \n",
" lifeExp | \n",
" pop | \n",
" gdpPercap | \n",
" iso_alpha | \n",
" iso_num | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" Afghanistan | \n",
" Asia | \n",
" 1952 | \n",
" 28.801 | \n",
" 8425333 | \n",
" 779.445314 | \n",
" AFG | \n",
" 4 | \n",
"
\n",
" \n",
" 1 | \n",
" Afghanistan | \n",
" Asia | \n",
" 1957 | \n",
" 30.332 | \n",
" 9240934 | \n",
" 820.853030 | \n",
" AFG | \n",
" 4 | \n",
"
\n",
" \n",
" 2 | \n",
" Afghanistan | \n",
" Asia | \n",
" 1962 | \n",
" 31.997 | \n",
" 10267083 | \n",
" 853.100710 | \n",
" AFG | \n",
" 4 | \n",
"
\n",
" \n",
" 3 | \n",
" Afghanistan | \n",
" Asia | \n",
" 1967 | \n",
" 34.020 | \n",
" 11537966 | \n",
" 836.197138 | \n",
" AFG | \n",
" 4 | \n",
"
\n",
" \n",
" 4 | \n",
" Afghanistan | \n",
" Asia | \n",
" 1972 | \n",
" 36.088 | \n",
" 13079460 | \n",
" 739.981106 | \n",
" AFG | \n",
" 4 | \n",
"
\n",
" \n",
"
\n",
"
"
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"text/plain": [
" country continent year lifeExp pop gdpPercap iso_alpha \\\n",
"0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG \n",
"1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG \n",
"2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG \n",
"3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG \n",
"4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG \n",
"\n",
" iso_num \n",
"0 4 \n",
"1 4 \n",
"2 4 \n",
"3 4 \n",
"4 4 "
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly.express as px\n",
"\n",
"gapminder = px.data.gapminder()\n",
"gapminder.head()"
]
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"anchor": "x",
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0,
1
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"title": {
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""
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],
"source": [
"gapminder_2007 = gapminder.loc[gapminder[\"year\"] == 2007]\n",
"px.scatter(\n",
" gapminder_2007,\n",
" x=\"gdpPercap\",\n",
" y=\"lifeExp\",\n",
" size=\"pop\", # 要素の大きさ\n",
" color=\"continent\", # 要素の色\n",
" hover_name=\"country\", # ホバーツールのタイトル\n",
" log_x=True, # X軸を対数にとる\n",
" size_max=60, # 要素の大きさの最大値\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.5 散布図行列(scatter matrix 関数)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 16.99 | \n",
" 1.01 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 1 | \n",
" 10.34 | \n",
" 1.66 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
\n",
" \n",
" 2 | \n",
" 21.01 | \n",
" 3.50 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
\n",
" \n",
" 3 | \n",
" 23.68 | \n",
" 3.31 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 4 | \n",
" 24.59 | \n",
" 3.61 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 4 | \n",
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\n",
" \n",
"
\n",
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"
],
"text/plain": [
" total_bill tip sex smoker day time size\n",
"0 16.99 1.01 Female No Sun Dinner 2\n",
"1 10.34 1.66 Male No Sun Dinner 3\n",
"2 21.01 3.50 Male No Sun Dinner 3\n",
"3 23.68 3.31 Male No Sun Dinner 2\n",
"4 24.59 3.61 Female No Sun Dinner 4"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips = px.data.tips()\n",
"tips.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
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%{yaxis.title.text}=%{y}",
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},
"bgcolor": "#E5ECF6",
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},
"title": {
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"xaxis": {
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"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
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"zerolinecolor": "white",
"zerolinewidth": 2
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"gridcolor": "white",
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""
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},
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],
"source": [
"scatter_matrix_fig = px.scatter_matrix(\n",
" tips,\n",
" # 描画対象の列名\n",
" dimensions=[\"total_bill\", \"tip\", \"size\"],\n",
" color=\"time\", # ❶ time列で色分け\n",
" symbol=\"smoker\", # ❷ smoker列ごとにマーカの形状で分類\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.3 折れ線グラフ(line 関数)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
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"ticks": "",
"title": {
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"source": [
"gapminder_Oceania = gapminder.loc[gapminder[\"continent\"] == \"Oceania\"]\n",
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" x=\"year\",\n",
" y=\"lifeExp\",\n",
" color=\"country\", # ❶ country列でデータを分割\n",
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.4 棒グラフ(bar 関数)"
]
},
{
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"execution_count": 6,
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"source": [
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" tips,\n",
" x=\"sex\",\n",
" y=\"total_bill\", # ❶ smoker列で分割してグループ化\n",
" color=\"smoker\",\n",
" barmode=\"group\",\n",
").show()"
]
},
{
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"metadata": {},
"source": [
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]
},
{
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"metadata": {},
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"source": [
"px.area(\n",
" gapminder,\n",
" x=\"year\",\n",
" y=\"pop\", # ❶ continent列で分割\n",
" color=\"continent\", # ❷ country列のデータごとに境界線を描画\n",
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]
},
{
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"metadata": {},
"source": [
"### 1.4.6 エラーバー"
]
},
{
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"text/html": [
""
]
},
"metadata": {},
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],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"np.random.seed(1)\n",
"df = pd.DataFrame(np.random.randn(100, 2), columns=[\"x\", \"y\"])\n",
"px.scatter(\n",
" df,\n",
" x=\"x\",\n",
" y=\"y\",\n",
" error_x=np.random.rand(100) * 0.1, # X値のエラー値\n",
" error_y=np.random.rand(100) * 0.1, # Y値のエラー値\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.7 箱ひげ図(box 関数)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
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"Dinner",
"Dinner",
"Dinner",
"Dinner",
"Dinner",
"Dinner",
"Dinner",
"Dinner",
"Dinner",
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}
},
"type": "parcoords"
}
],
"pie": [
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"type": "pie"
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}
},
"type": "scatter"
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}
},
"type": "scattercarpet"
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}
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"type": "scattergeo"
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}
},
"type": "scattergl"
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},
"type": "scattermapbox"
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"type": "scatterpolargl"
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"type": "scatterternary"
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"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
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"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
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"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Box plot of total bill"
},
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "time"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "total_bill"
}
}
}
},
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"px.box(\n",
" tips,\n",
" x=\"time\",\n",
" y=\"total_bill\",\n",
" color=\"smoker\", # smoker列で色分け\n",
" notched=True, # ❶ ノッチを入れる\n",
" points=\"all\", # ❷ すべての要素を点で描画\n",
" title=\"Box plot of total bill\",\n",
" hover_data=[\"day\"], # ❸ ホバーツールにday列の値を表示\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.8 バイオリン図(violin 関数)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
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smoker=%{customdata[3]}
tip=%{customdata[1]}
total_bill=%{customdata[0]}
day=%{customdata[4]}
time=%{customdata[5]}
size=%{customdata[6]}",
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"showland": true,
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},
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"radialaxis": {
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}
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"gridcolor": "white",
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"linecolor": "white",
"showbackground": true,
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"gridcolor": "white",
"gridwidth": 2,
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},
"bgcolor": "#E5ECF6",
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}
},
"title": {
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},
"xaxis": {
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"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
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"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
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"gridcolor": "white",
"linecolor": "white",
"ticks": "",
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"zerolinecolor": "white",
"zerolinewidth": 2
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},
"violinmode": "group",
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
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}
},
"yaxis": {
"anchor": "x",
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0,
1
],
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}
}
}
},
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"px.violin(\n",
" tips,\n",
" y=\"tip\",\n",
" x=\"smoker\",\n",
" color=\"sex\", # ❶ sex列で色分け\n",
" box=True, # ❷ 箱ひげ図を重ねて描画\n",
" points=\"all\", # ❸ すべての要素を点で描画\n",
" hover_data=tips.columns, # ホバーツールにすべて列の値を表示\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.9 ヒストグラム(histogram 関数)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
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count=%{y}",
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tip=%{customdata[1]}
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day=%{customdata[4]}
time=%{customdata[5]}
size=%{customdata[6]}",
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],
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},
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},
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},
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]
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],
"font": {
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},
"geo": {
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"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "total_bill"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0,
1
],
"matches": "x",
"showgrid": true,
"showticklabels": false
},
"yaxis": {
"anchor": "x",
"domain": [
0,
0.7326
],
"title": {
"text": "count"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.7426,
1
],
"matches": "y2",
"showgrid": false,
"showline": false,
"showticklabels": false,
"ticks": ""
}
}
},
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"px.histogram(\n",
" tips,\n",
" x=\"total_bill\",\n",
" color=\"sex\", # ❶ sex列で分割して積み上げ\n",
" marginal=\"rug\", # ❷ ラグプロットをサブプロットで表示\n",
" hover_data=tips.columns, # ❸ ホバーツールにすべて列の値を表示\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.10 円グラフ(pie 関数)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"domain": {
"x": [
0,
1
],
"y": [
0,
1
]
},
"hovertemplate": "day=%{label}
tip=%{value}",
"labels": [
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"Sun",
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},
{
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"### 1.4.11 サンバーストグラフ(sunburst 関数)"
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},
{
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"### 1.4.12 ツリーマップ(treemap 関数)"
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\n",
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" | \n",
" sepal_length | \n",
" sepal_width | \n",
" petal_length | \n",
" petal_width | \n",
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\n",
" \n",
" \n",
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" 0 | \n",
" 5.1 | \n",
" 3.5 | \n",
" 1.4 | \n",
" 0.2 | \n",
" setosa | \n",
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\n",
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"source": [
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" color=\"species_id\", # ❶ species_id列をカラースケールで表現\n",
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},
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"source": [
"px.parallel_categories(\n",
" tips,\n",
" dimensions=[\"sex\", \"smoker\", \"time\", \"day\"], # 対象列を指定\n",
" color=\"size\", # ❶ size列で色分け\n",
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").show()"
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},
{
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"metadata": {},
"source": [
"### 三角図(scatter ternary・ line ternary 関数)"
]
},
{
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"execution_count": 22,
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"data": {
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"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" district | \n",
" Coderre | \n",
" Bergeron | \n",
" Joly | \n",
" total | \n",
" winner | \n",
" result | \n",
" district_id | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 101-Bois-de-Liesse | \n",
" 2481 | \n",
" 1829 | \n",
" 3024 | \n",
" 7334 | \n",
" Joly | \n",
" plurality | \n",
" 101 | \n",
"
\n",
" \n",
" 1 | \n",
" 102-Cap-Saint-Jacques | \n",
" 2525 | \n",
" 1163 | \n",
" 2675 | \n",
" 6363 | \n",
" Joly | \n",
" plurality | \n",
" 102 | \n",
"
\n",
" \n",
" 2 | \n",
" 11-Sault-au-Récollet | \n",
" 3348 | \n",
" 2770 | \n",
" 2532 | \n",
" 8650 | \n",
" Coderre | \n",
" plurality | \n",
" 11 | \n",
"
\n",
" \n",
" 3 | \n",
" 111-Mile-End | \n",
" 1734 | \n",
" 4782 | \n",
" 2514 | \n",
" 9030 | \n",
" Bergeron | \n",
" majority | \n",
" 111 | \n",
"
\n",
" \n",
" 4 | \n",
" 112-DeLorimier | \n",
" 1770 | \n",
" 5933 | \n",
" 3044 | \n",
" 10747 | \n",
" Bergeron | \n",
" majority | \n",
" 112 | \n",
"
\n",
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"
\n",
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"
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"text/plain": [
" district Coderre Bergeron Joly total winner result \\\n",
"0 101-Bois-de-Liesse 2481 1829 3024 7334 Joly plurality \n",
"1 102-Cap-Saint-Jacques 2525 1163 2675 6363 Joly plurality \n",
"2 11-Sault-au-Récollet 3348 2770 2532 8650 Coderre plurality \n",
"3 111-Mile-End 1734 4782 2514 9030 Bergeron majority \n",
"4 112-DeLorimier 1770 5933 3044 10747 Bergeron majority \n",
"\n",
" district_id \n",
"0 101 \n",
"1 102 \n",
"2 11 \n",
"3 111 \n",
"4 112 "
]
},
"execution_count": 22,
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"election.head()"
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},
{
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"execution_count": 23,
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"px.scatter_ternary(\n",
" election,\n",
" a=\"Joly\",\n",
" b=\"Coderre\",\n",
" c=\"Bergeron\",\n",
" color=\"winner\", # ❶ winner列で色分け\n",
" size=\"total\", # ❷ 要素の大きさをtotal列の値\n",
" size_max=15, # ❷ 要素の大きさの最大値\n",
" hover_name=\"district\", # ❸ ホバーツールのタイトル\n",
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"source": [
"### 1.4.16 ポーラチャート(scatter polar 関数・ line polar 関数・ bar polar関数)"
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"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" direction | \n",
" strength | \n",
" frequency | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" N | \n",
" 0-1 | \n",
" 0.5 | \n",
"
\n",
" \n",
" 1 | \n",
" NNE | \n",
" 0-1 | \n",
" 0.6 | \n",
"
\n",
" \n",
" 2 | \n",
" NE | \n",
" 0-1 | \n",
" 0.5 | \n",
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\n",
" \n",
" 3 | \n",
" ENE | \n",
" 0-1 | \n",
" 0.4 | \n",
"
\n",
" \n",
" 4 | \n",
" E | \n",
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\n",
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\n",
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" direction strength frequency\n",
"0 N 0-1 0.5\n",
"1 NNE 0-1 0.6\n",
"2 NE 0-1 0.5\n",
"3 ENE 0-1 0.4\n",
"4 E 0-1 0.4"
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},
"execution_count": 24,
"metadata": {},
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],
"source": [
"wind = px.data.wind()\n",
"wind.head()"
]
},
{
"cell_type": "code",
"execution_count": 25,
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"output_type": "display_data"
}
],
"source": [
"px.bar_polar(\n",
" wind,\n",
" r=\"frequency\", # 値\n",
" theta=\"direction\", # 角度\n",
" color=\"strength\", # ❶ strengthで分割して積み上げ\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.17 階級区分図(choropleth 関数)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
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lifeExp=%{z}",
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"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
}
}
},
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gapmider_2007 = gapminder[gapminder[\"year\"] == 2007]\n",
"px.choropleth(\n",
" gapmider_2007,\n",
" locations=\"iso_alpha\", # 位置をISO 3166-1 alpha-3形式で指定\n",
" color=\"lifeExp\",\n",
" hover_name=\"country\", # ❶ ホバーツールのタイトル\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.18 地図上の散布図(scattergeo 関数)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
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"config": {
"plotlyServerURL": "https://plot.ly"
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year=2007
gdpPercap=%{marker.size}
iso_alpha=%{location}
lifeExp=%{marker.color}",
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"Egypt",
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"Equatorial Guinea",
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"Guinea",
"Guinea-Bissau",
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"Peru",
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"Poland",
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"Sierra Leone",
"Singapore",
"Slovak Republic",
"Slovenia",
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"South Africa",
"Spain",
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"title": {
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"xaxis": {
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"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
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"zerolinecolor": "white",
"zerolinewidth": 2
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"yaxis": {
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"gridcolor": "white",
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"zerolinewidth": 2
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},
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""
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}
],
"source": [
"px.scatter_geo(\n",
" gapmider_2007,\n",
" locations=\"iso_alpha\",\n",
" size=\"gdpPercap\", # ❶ 要素のサイズ\n",
" color=\"lifeExp\", # ❷ 要素の色\n",
" hover_name=\"country\",\n",
" animation_frame=\"year\", # ❸ アニメーション\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.4.19 3D 散布図(scatter 3d 関数・ line 3d 関数)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
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],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"Egypt"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"El Salvador"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Equatorial Guinea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Eritrea"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Ethiopia"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"Finland"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"France"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gabon"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Gambia"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Germany"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Ghana"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Greece"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guatemala"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Guinea-Bissau"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Haiti"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Honduras"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hong Kong, China"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Hungary"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"Iceland"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"India"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Indonesia"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iran"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Iraq"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Ireland"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Israel"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Italy"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Jamaica"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Japan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Jordan"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Kenya"
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Dem. Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Korea, Rep."
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Kuwait"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lebanon"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Lesotho"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Liberia"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Libya"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Madagascar"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malawi"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Malaysia"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mali"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritania"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mauritius"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mexico"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Mongolia"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Montenegro"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Morocco"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Mozambique"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Myanmar"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Namibia"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Nepal"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"Netherlands"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
],
[
"New Zealand"
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""
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],
"source": [
"scatter_3d_fig = px.scatter_3d(\n",
" gapminder,\n",
" x=\"year\",\n",
" y=\"continent\",\n",
" z=\"pop\",\n",
" size=\"gdpPercap\", # ❶ 要素の大きさ\n",
" color=\"lifeExp\", # ❷ lifeExp列で色分け\n",
" hover_data=[\"country\"], # ❸ ホバーツールに表示\n",
")\n",
"# Z軸を対数にとる\n",
"scatter_3d_fig.layout.update(scene={\"zaxis\": {\"type\": \"log\"}})\n",
"scatter_3d_fig.show()"
]
}
],
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