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@kantale
Created January 10, 2019 12:37
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Πρόχειρες σημειώσεις από το μάθημα python, 11η διάλεξη, 10 Ιανουαρίου 2019
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"\n",
"import matplotlib.pyplot as plt \n",
"import seaborn as sns "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f94e1cb7470>]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f94e980eb38>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot([0,2,3], [1,5,4], '-', c='#00ff00', lw=4)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa08c8b9e80>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot([0,2,3], [1,5,4], '-', c='#00ff00', lw=4)\n",
"plt.plot([0,2,3], [0,4,3], '-', c='pink', lw=2)\n",
"\n",
"\n",
"plt.savefig('mitsos.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' 231 '"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'{:^30}'.format(231, 251)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0xe7'"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hex(231)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"231"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"int('e7', 16)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Y76KaT7PBbz5PvYHX04OFa6sPAye651f/8xsAXx6p+0sWbkDOAX8x5jgbKRhWvWYW/iIr4EfAU93jI9Ne02us9c+An7DwzZXbu7G7gA902+ex8I2UOeD7wDtGXnt797rjnKPfvJrkmoG/Af575HN9Ctg+7fWs5Wc8cowNHwz+8lmS1PBbSZKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWr8L4G+I6VKUcyzAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbd9b2a0320>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"ax.plot()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbd9b277588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig2, ax2 = plt.subplots()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fbd9b14a7f0>]"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbd9b1f11d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def f(x):\n",
" return x**2\n",
"\n",
"\n",
"X = list(range(0,50))\n",
"Y = list(map(f, X))\n",
"plt.plot(X, Y)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from test2 import f"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa08d621a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"!python test2.py"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fa08bf65cf8>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa08c275278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"legend1 = plt.plot([0,1], [1,2], c='blue')\n",
"legend2 = plt.plot([0,1], [2,3], c='red')\n",
"\n",
"\n",
"plt.legend([legend1[0], legend2[0]], ['mitsos', 'kostas'], loc=10)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: seaborn in ./anaconda3/lib/python3.6/site-packages\n",
"Requirement already satisfied: numpy in ./anaconda3/lib/python3.6/site-packages (from seaborn)\n",
"Requirement already satisfied: scipy in ./anaconda3/lib/python3.6/site-packages (from seaborn)\n",
"Requirement already satisfied: matplotlib in ./anaconda3/lib/python3.6/site-packages (from seaborn)\n",
"Requirement already satisfied: pandas in ./anaconda3/lib/python3.6/site-packages (from seaborn)\n",
"Requirement already satisfied: six>=1.10 in ./anaconda3/lib/python3.6/site-packages (from matplotlib->seaborn)\n",
"Requirement already satisfied: python-dateutil>=2.1 in ./anaconda3/lib/python3.6/site-packages (from matplotlib->seaborn)\n",
"Requirement already satisfied: pytz in ./anaconda3/lib/python3.6/site-packages (from matplotlib->seaborn)\n",
"Requirement already satisfied: cycler>=0.10 in ./anaconda3/lib/python3.6/site-packages (from matplotlib->seaborn)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in ./anaconda3/lib/python3.6/site-packages (from matplotlib->seaborn)\n",
"\u001b[33mYou are using pip version 9.0.1, however version 18.1 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": [
"! pip install seaborn"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/thodoris/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py:3261: RuntimeWarning: Second argument 'y' is ambiguous: could be a color spec but is in data. Using as data.\n",
"Either rename the entry in data or use three arguments to plot.\n",
" ret = ax.plot(*args, **kwargs)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f169c9d94a8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/thodoris/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py:3261: RuntimeWarning: Second argument 'y' is ambiguous: could be a color spec but is in data. Using as data.\n",
"Either rename the entry in data or use three arguments to plot.\n",
" ret = ax.plot(*args, **kwargs)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f169c89ec88>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# library and dataset\n",
"from matplotlib import pyplot as plt\n",
"import pandas as pd\n",
"import numpy as np\n",
" \n",
"# Create data\n",
"df=pd.DataFrame({'x': range(1,101), 'y': np.random.randn(100)*15+range(1,101), 'z': (np.random.randn(100)*15+range(1,101))*2 })\n",
" \n",
"# plot with matplotlib\n",
"plt.plot( 'x', 'y', data=df, marker='o', color='mediumvioletred')\n",
"plt.show()\n",
" \n",
"# Just load seaborn and the chart looks better:\n",
"import seaborn as sns\n",
"plt.plot( 'x', 'y', data=df, marker='o', color='mediumvioletred')\n",
"plt.show()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![img](mitsos.png)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<module 'matplotlib.pyplot' from '/home/thodoris/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py'>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f4b74dd0978>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"\n",
"def sinplot(flip=1):\n",
" x = np.linspace(0, 14, 100)\n",
" for i in range(1, 7):\n",
" plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)\n",
" \n",
" return plt\n",
"#sns.set()\n",
"sns.set_context(\"talk\")\n",
"sinplot()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<module 'matplotlib.pyplot' from '/home/thodoris/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py'>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98e102828>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"#import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"\n",
"def sinplot(flip=1):\n",
" x = np.linspace(0, 14, 100)\n",
" for i in range(1, 7):\n",
" plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)\n",
" \n",
" return plt\n",
" \n",
"sinplot()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: bokeh in ./anaconda3/lib/python3.6/site-packages\n",
"Requirement already satisfied: six>=1.5.2 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: PyYAML>=3.10 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: python-dateutil>=2.1 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: Jinja2>=2.7 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: numpy>=1.7.1 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: tornado>=4.3 in ./anaconda3/lib/python3.6/site-packages (from bokeh)\n",
"Requirement already satisfied: MarkupSafe>=0.23 in ./anaconda3/lib/python3.6/site-packages (from Jinja2>=2.7->bokeh)\n",
"\u001b[33mYou are using pip version 9.0.1, however version 18.1 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Wrote anscombe.html\n"
]
}
],
"source": [
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from bokeh.util.browser import view\n",
"from bokeh.document import Document\n",
"from bokeh.embed import file_html\n",
"from bokeh.layouts import column, gridplot\n",
"from bokeh.models import Circle, ColumnDataSource, Div, Grid, Line, LinearAxis, Plot, Range1d\n",
"from bokeh.resources import INLINE\n",
"\n",
"raw_columns=[\n",
"[10.0, 8.04, 10.0, 9.14, 10.0, 7.46, 8.0, 6.58],\n",
"[8.0, 6.95, 8.0, 8.14, 8.0, 6.77, 8.0, 5.76],\n",
"[13.0, 7.58, 13.0, 8.74, 13.0, 12.74, 8.0, 7.71],\n",
"[9.0, 8.81, 9.0, 8.77, 9.0, 7.11, 8.0, 8.84],\n",
"[11.0, 8.33, 11.0, 9.26, 11.0, 7.81, 8.0, 8.47],\n",
"[14.0, 9.96, 14.0, 8.10, 14.0, 8.84, 8.0, 7.04],\n",
"[6.0, 7.24, 6.0, 6.13, 6.0, 6.08, 8.0, 5.25],\n",
"[4.0, 4.26, 4.0, 3.10, 4.0, 5.39, 19.0, 12.5],\n",
"[12.0, 10.84, 12.0, 9.13, 12.0, 8.15, 8.0, 5.56],\n",
"[7.0, 4.82, 7.0, 7.26, 7.0, 6.42, 8.0, 7.91],\n",
"[5.0, 5.68, 5.0, 4.74, 5.0, 5.73, 8.0, 6.89]]\n",
"\n",
"quartet = pd.DataFrame(data=raw_columns, columns=\n",
" ['Ix','Iy','IIx','IIy','IIIx','IIIy','IVx','IVy'])\n",
"\n",
"\n",
"circles_source = ColumnDataSource(\n",
" data = dict(\n",
" xi = quartet['Ix'],\n",
" yi = quartet['Iy'],\n",
" xii = quartet['IIx'],\n",
" yii = quartet['IIy'],\n",
" xiii = quartet['IIIx'],\n",
" yiii = quartet['IIIy'],\n",
" xiv = quartet['IVx'],\n",
" yiv = quartet['IVy'],\n",
" )\n",
" )\n",
"\n",
"x = np.linspace(-0.5, 20.5, 10)\n",
"y = 3 + 0.5 * x\n",
"lines_source = ColumnDataSource(data=dict(x=x, y=y))\n",
"\n",
"xdr = Range1d(start=-0.5, end=20.5)\n",
"ydr = Range1d(start=-0.5, end=20.5)\n",
"\n",
"def make_plot(title, xname, yname):\n",
" plot = Plot(x_range=xdr, y_range=ydr, plot_width=400, plot_height=400,\n",
" background_fill_color='#efefef')\n",
" plot.title.text = title\n",
"\n",
" xaxis = LinearAxis(axis_line_color=None)\n",
" plot.add_layout(xaxis, 'below')\n",
"\n",
" yaxis = LinearAxis(axis_line_color=None)\n",
" plot.add_layout(yaxis, 'left')\n",
"\n",
" plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))\n",
" plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))\n",
"\n",
" line = Line(x='x', y='y', line_color=\"#666699\", line_width=2)\n",
" plot.add_glyph(lines_source, line)\n",
"\n",
" circle = Circle(\n",
" x=xname, y=yname, size=12,\n",
" fill_color=\"#cc6633\", line_color=\"#cc6633\", fill_alpha=0.5\n",
" )\n",
" plot.add_glyph(circles_source, circle)\n",
"\n",
" return plot\n",
"\n",
"#where will this comment show up\n",
"I = make_plot('I', 'xi', 'yi')\n",
"II = make_plot('II', 'xii', 'yii')\n",
"III = make_plot('III', 'xiii', 'yiii')\n",
"IV = make_plot('IV', 'xiv', 'yiv')\n",
"\n",
"grid = gridplot([[I, II], [III, IV]], toolbar_location=None)\n",
"\n",
"div = Div(text=\"\"\"\n",
"<h1>Anscombe's Quartet</h1>\n",
"<p>Anscombe's quartet is a collection of four small datasets that have nearly\n",
"identical simple descriptive statistics (mean, variance, correlation, and linear\n",
"regression lines), yet appear very different when graphed.\n",
"</p>\n",
"\"\"\")\n",
"\n",
"doc = Document()\n",
"doc.add_root(column(div, grid, sizing_mode=\"scale_width\"))\n",
"\n",
"def do():\n",
" doc.validate()\n",
" filename = \"anscombe.html\"\n",
" with open(filename, \"w\") as f:\n",
" f.write(file_html(doc, INLINE, \"Anscombe's Quartet\"))\n",
" print(\"Wrote %s\" % filename)\n",
" view(filename)\n",
" \n",
"do()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"from bokeh.models import ColumnDataSource, LabelSet\n",
"from bokeh.plotting import figure, show, output_file\n",
"from bokeh.sampledata.periodic_table import elements\n",
"\n",
"elements = elements.copy()\n",
"elements = elements[elements[\"atomic number\"] <= 82]\n",
"elements = elements[~pd.isnull(elements[\"melting point\"])]\n",
"mass = [float(x.strip(\"[]\")) for x in elements[\"atomic mass\"]]\n",
"elements[\"atomic mass\"] = mass\n",
"\n",
"palette = [\"#053061\", \"#2166ac\", \"#4393c3\", \"#92c5de\", \"#d1e5f0\",\n",
" \"#f7f7f7\", \"#fddbc7\", \"#f4a582\", \"#d6604d\", \"#b2182b\", \"#67001f\"]\n",
"\n",
"melting_points = elements[\"melting point\"]\n",
"low = min(melting_points)\n",
"high = max(melting_points)\n",
"melting_point_inds = [int(10*(x-low)/(high-low)) for x in melting_points] #gives items in colors a value from 0-10\n",
"elements['melting_colors'] = [palette[i] for i in melting_point_inds]\n",
"\n",
"TITLE = \"Density vs Atomic Weight of Elements (colored by melting point)\"\n",
"TOOLS = \"hover,pan,wheel_zoom,box_zoom,reset,save\"\n",
"\n",
"p = figure(tools=TOOLS, toolbar_location=\"above\", plot_width=1200, title=TITLE)\n",
"p.toolbar.logo = \"grey\"\n",
"p.background_fill_color = \"#dddddd\"\n",
"p.xaxis.axis_label = \"atomic weight (amu)\"\n",
"p.yaxis.axis_label = \"density (g/cm^3)\"\n",
"p.grid.grid_line_color = \"white\"\n",
"#p.hover.tooltips = [\n",
"# (\"name\", \"@name\"),\n",
"# (\"symbol:\", \"@symbol\"),\n",
"# (\"density\", \"@density\"),\n",
"# (\"atomic weight\", \"@{atomic mass}\"),\n",
"# (\"melting point\", \"@{melting point}\")\n",
"#]\n",
"\n",
"source = ColumnDataSource(elements)\n",
"\n",
"p.circle(\"atomic mass\", \"density\", size=12, source=source,\n",
" color='melting_colors', line_color=\"black\", fill_alpha=0.8)\n",
"\n",
"labels = LabelSet(x=\"atomic mass\", y=\"density\", text=\"symbol\", y_offset=8,\n",
" text_font_size=\"8pt\", text_color=\"#555555\",\n",
" source=source, text_align='center')\n",
"p.add_layout(labels)\n",
"\n",
"output_file(\"elements.html\", title=\"elements.py example\")\n",
"\n",
"show(p)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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