"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# ou can also indicate that subplots should have the\n",
"# same x- or y-axis using sharex and sharey, respectively\n",
"\n",
"fig, axes = plt.subplots(2, 3, sharey=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**pyplot.subplots options**\n",
"\n",
"|Argument| Description|\n",
"|--|--|\n",
"|nrows| Number of rows of subplots|\n",
"|ncols| Number of columns of subplots|\n",
"|sharex| All subplots should use the same x-axis ticks (adjusting the xlim will affect all subplots)|\n",
"|sharey| All subplots should use the same y-axis ticks (adjusting the ylim will affect all subplots)|\n",
"|subplot_kw| Dict of keywords passed to add_subplot call used to create each subplot|\n",
"|**fig_kw| Additional keywords to subplots are used when creating the figure, such as plt.subplots(2, 2, figsize=(8, 6))|\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T19:37:06.860771Z",
"start_time": "2019-12-24T19:37:06.856678Z"
}
},
"source": [
"### Adjusting the spacing around subplots"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By default matplotlib leaves a certain amount of padding around the outside of the subplots and spacing between subplots. This spacing is all specified relative to the height and width of the plot, so that if you resize the plot either programmatically or manually using the GUI window, the plot will dynamically adjust itself. You can change the spacing using the **subplots_adjust** method on Figure objects, also available as a top-level function"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)***\n",
"\n",
"**wspace** and **hspace** controls the percent of the figure width and figure height, respec‐\n",
"tively, to use as spacing between subplots."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:45.315181Z",
"start_time": "2019-12-24T22:46:44.536222Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# shrinking spaces to zero\n",
"\n",
"fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n",
"for i in range(2):\n",
" for j in range(2):\n",
" axes[i, j].hist(np.random.randn(500), bins=50, color='k', alpha=0.5)\n",
"\n",
"plt.subplots_adjust(wspace=0, hspace=0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Colors, Markers, and Line Styles\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:45.320127Z",
"start_time": "2019-12-24T22:46:45.316139Z"
}
},
"outputs": [],
"source": [
"# plot function accepts an array of x and y and optionally a string abbreviation\n",
"# indicating color and line style\n",
"# ax.plot(x, y, 'g--')\n",
"\n",
"# In practice \n",
"# ax.plot(x, y, linestyle='--', color='g')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:45.460043Z",
"start_time": "2019-12-24T22:46:45.321125Z"
}
},
"outputs": [],
"source": [
"# ?matplotlib.pyplot.plot"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:45.769320Z",
"start_time": "2019-12-24T22:46:45.462072Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# using MARKERS to highlight the actual data points\n",
"\n",
"from numpy.random import randn\n",
"# plt.plot(randn(30).cumsum(), 'ko--')\n",
"plt.plot(randn(30).cumsum(), color='k', linestyle='dashed', marker='o')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For line plots, you will notice that subsequent points are linearly interpolated by default. This can be altered with the **drawstyle** option"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:45.773313Z",
"start_time": "2019-12-24T22:46:45.770282Z"
}
},
"outputs": [],
"source": [
"data = np.random.randn(30).cumsum()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.081310Z",
"start_time": "2019-12-24T22:46:45.774271Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot(data, 'k--', label='Default')\n",
"plt.plot(data, 'k-', drawstyle='steps-post', label='steps-post')\n",
"plt.legend(loc='best')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Ticks, Labels, Legend"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The pyplot interface, designed for interactive use, consists of methods like **xlim, xticks, xticklabels => plot range, tick locations, tick labels**, respectively. \n",
"They can be used in two ways:\n",
" * Called with no arguments returns the current parameter value (e.g., plt.xlim() returns the current x-axis plotting range)\n",
" * Called with parameters sets the parameter value (e.g., plt.xlim([0, 10]), sets the x-axis range to 0 to 10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Setting the title, axis labels, ticks, and ticklabels\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.263888Z",
"start_time": "2019-12-24T22:46:46.082307Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(1, 1, 1)\n",
"ax.plot(np.random.randn(1000).cumsum())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To change the x-axis ticks, it’s easiest to use **set_xticks** and **set_xticklabels**. The former instructs matplotlib where to place the ticks along the data range; by default these locations will also be the labels. But we can set any other values as the labels using set_xticklabels"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.287758Z",
"start_time": "2019-12-24T22:46:46.264821Z"
}
},
"outputs": [],
"source": [
"ticks = ax.set_xticks([0, 250, 500, 750, 1000])\n",
"labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n",
" rotation=30, fontsize='small')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.427935Z",
"start_time": "2019-12-24T22:46:46.288755Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1, 'My first matplotlib Plotting and Visualization.ipynb')"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ax.set_title('My first matplotlib Plotting and Visualization.ipynb')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.573696Z",
"start_time": "2019-12-24T22:46:46.428896Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 3.200000000000003, 'Stages')"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ax.set_xlabel('Stages')\n",
"\n",
"# similar steps for y-axis"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.835105Z",
"start_time": "2019-12-24T22:46:46.577684Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The axes class has a **set** method that allows batch setting of plot properties. From the prior example, we could also have written"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:46.869085Z",
"start_time": "2019-12-24T22:46:46.836141Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0.5, 17.200000000000003, 'Stages'),\n",
" Text(0.5, 1, 'My first matplotlib plot')]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"props = {\n",
" 'title': 'My first matplotlib plot',\n",
" 'xlabel': 'Stages'\n",
"}\n",
"ax.set(**props)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:47.091058Z",
"start_time": "2019-12-24T22:46:46.872039Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Annotations and drawing on a Subplot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In addition to the standard plot types, you may wish to draw your own plot annotations, which could consist of text, arrows, or other shapes. You can add annotations and text using the **text**, **arrow**, and **annotate** functions."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:48.003551Z",
"start_time": "2019-12-24T22:46:48.000559Z"
}
},
"outputs": [],
"source": [
"# text draws text at given coordinates (x, y) on the plot \n",
"# with optional custom styling\n",
"\n",
"# ax.text(x, y, 'hello world',\n",
"# family='monospace', fontsize=10)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:48.405248Z",
"start_time": "2019-12-24T22:46:48.004547Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Important dates in the 2008-2009 financial crisis')"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(1, 1, 1)\n",
"rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color='k', alpha=0.3)\n",
"circ = plt.Circle((0.7, 0.2), 0.15, color='b', alpha=0.3)\n",
"\n",
"pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]],\n",
" color='g', alpha=0.5)\n",
"\n",
"ax.add_patch(rect)\n",
"ax.add_patch(circ)\n",
"ax.add_patch(pgon)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plotting with pandas and seaborn"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In pandas we may have multiple columns of data, along with row and column labels. Pandas itself has built-in methods that simplify creating visualizations from DataFrame and Series objects. Another library is **seaborn**, a statistical graphics library created by Michael Waskom. Seaborn simplifies creating many common visualization\n",
"types.\n",
"\n",
"\n",
"Importing seaborn modifies the default matplotlib color schemes\n",
"and plot styles to improve readability and aesthetics. Even if you do\n",
"not use the seaborn API, you may prefer to import seaborn as a\n",
"simple way to improve the visual aesthetics of general matplotlib\n",
"plots.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Line Plots"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Series and DataFrame each have a plot attribute for making some basic plot types. By default, ***plot()*** makes line plots"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:48.714174Z",
"start_time": "2019-12-24T22:46:48.710151Z"
}
},
"outputs": [],
"source": [
"s = pd.Series(np.random.randn(10).cumsum(), index=np.arange(0, 100, 10))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:49.014108Z",
"start_time": "2019-12-24T22:46:48.715133Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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0rneCxvVOcDsK/AAFC0DQqfN49ctXtuj57H369vAuuv/yocz0DcBRFCwAQaWsuk43PbNO7+cf1o8m9NGtX+/HycMAHEfBAhA0DpRWadaCLOUXl+v+7wzRd9O7ux0JQICiYAEIClsPHNesBVmqqPEoMyNd4/sluh0JQABrdsEyxkRJWiUpsnF9L1prf93c9QKAU1ZuL9YPn1mndm3C9eL3xyq1Uzu3IwEIcE7swaqRNMFaW26MCZf0gTHmDWvtJw6sGwCa5dnVe3XXq1vUPzlWmTPTldyu9W9/AiD4NLtg2YaZSssbH4Y3frT+7KUAcBKv1+qPb23XP97bqfP7J+pv3xuptsxPBKCVOPLbxhgTKmmtpD6S/m6tXe3EegGgKarrPLrthY3616aD+t7Z3XX3xYO4qS2AVuVIwbLWeiQNN8bESXrFGDPYWrvl5O8xxsyWNFuSunfnyh0ALeNYRa1uWJSt7D3HdPuUVM0Z34tpGAC0Okf/SWetLZX0rqTJp/hvc621adbatMRErt4B4Lw9Ryp02WMfadP+4/rb90boxvN6U64AuKLZBcsYk9i450rGmDaSJknKbe56AeBMrN1zTJc++pGOVdbqmevP1tShXdyOBCCIOXGIsLOkhY3nYYVIWmKt/ZcD6wWA0/LG5oP68fMb1Kl9lBbMHK2eCTFuRwIQ5Jy4inCTpBEOZAGAM2Kt1bz3d+neN3I0olucnrg2TR3bRrodCwCYyR2Af6r3ePXb17fpqU/26JtDOumhK4crKpwbNgPwDRQsAH6noqZeNz+3XstzizVnfC/9YnKqQkI4mR2A76BgAfArxSeqNWthlrYdOKHfXTJI08f2cDsSAHwBBQuA38grKtPMzCwdq6zVvBlpmpCa7HYkADglChYAv/DRjsOa8/RaRYWHasmcsRrctb3bkQDgS1GwAPi8F9cW6vaXNqlXYowyZ45W17g2bkcCgP+JggXAZ1lr9Zdl+Xp4eb7O6dNRj10zSu2iwt2OBQBfiYIFwCfV1nt1+8ub9PK6/bp8VIruvXSIIsK4YTMA/0DBAuBzjlfV6can1urjgiO69ev99KMJfbinIAC/QsEC4FMKj1VqZmaWdh+p0ENXDtNlI1PcjgQAZ4yCBcBnbCos1XULs1Vd59HCWaM1rneC25EAoEkoWAB8wrJtRfrRc+sVHxOhZ68/W32TY92OBABNRsEC4LpFH+/Wb17bqsFd22vejDQlxUa5HQkAmoWCBcA1Xq/VvUtzNO+DXZo0IFmPXDVc0RH8WgLg//hNBsAV1XUe/eT5DXpjyyFljOuhu6YOVCg3bAYQIChYAFrd4fIa3bAoWxv2lequqQN13dd6uh0JABxFwQLQqgpKypWRmaWiE9V67OqRmjy4s9uRAMBxFCwArWbNrqOa/VS2Qo3R4tljNKJ7B7cjAUCLoGABaBWvbTyg25ZsVEp8Gy3IGK3uHaPdjgQALYaCBaBFWWv12Hs79cc3t2t0z3jNnT5KcdERbscCgBZFwQLQYuo9Xt316lY9t2avLh7WRQ9cMVSRYaFuxwKAFkfBAtAiymvq9YNn1um9vBL98II+uvXr/RTCNAwAggQFC4DjDh6v0qwF2corKtMfLhuiaaO7ux0JAFoVBQuAo3IOntDMzCyV19QrMyNd4/sluh0JAFodBQuAY5bnFOmWxRvUNjJMS+aM1cAu7dyOBACuoGABaLacgyf0hzdy9V5eiQZ0bqfMjHR1as8NmwEELwoWgCY7eLxKD76dp5fWFapdVLj+75sDNH3sWYoK50pBAMGNggXgjJ2ortNj7+7U/A92yVrphnN76Qfn91H76HC3owGAT6BgAThttfVePbN6jx5Znq9jlXW6dERX3fr1fuoWz6zsAHAyChaAr2St1b83H9Qf39yuvUcrdU6fjrpjygAN7tre7WgA4JMoWAD+p9UFR3TvG7nauK9UqZ1itXDWaI3vmyBjmDQUAL4MBQvAKeUXlen+N3O1LKdYndpF6YHLh+qykSkKZTZ2APhKFCwA/6X4RLX+vCxPz2ftU0xEmH4+ub9mndOTKwMB4AxQsABIarh34NxVBXpiVYHqvV7NGNdDP5rQV/ExEW5HAwC/Q8ECglydx6vFWfv08LI8HS6v1UVDO+vnF/bXWR1j3I4GAH6LggUEKWut3tpapD++mauCwxUa3TNeT1ybqhHdO7gdDQD8HgULCEJr9xzTfUtzlL3nmPoktdW8a9M0cUASVwYCgEMoWEAQKSgp1wNvbdcbWw4pMTZS9102RFeMSlFYaIjb0QAgoFCwgCBwuLxGjyzP17Or9yoyLES3fr2frj+3p6Ij+BUAAC2B365AAKusrdeT7+/SP97bqep6r743urtunthXibGRbkcDgIBGwQICUL3HqxfXFuqhd/JUXFajCwcl6+eTU9U7sa3b0QAgKFCwgABirdXK7cX6wxu5yisq18jucXr06pFK6xHvdjQACCoULCBAbNxXqvveyNEnBUfVMyFG/7hmpC4c1IkrAwHABRQswM/tPVKpB97ertc3HlDHmAj97pJBmja6u8K5MhAAXEPBAvzUsYpa/XXFDj31yW6Fhhj9aEIfzR7fS7FR4W5HA4CgR8EC/Ex1nUeZH+7Wo+/uUEVNva5M66affL2fkttFuR0NANCIggX4CY/X6p/r9+vBt7frwPFqTUxN0i+mpKpfcqzb0QAAn9PsgmWM6SZpkaROkryS5lprH27uegH8x6q8Et33Rq5yDp7Q0JT2evDK4Rrbu6PbsQAAX8KJPVj1kn5qrV1njImVtNYY8461dpsD6waC2tYDx/WHN3L1fv5hdYtvo0euGqGpQzorJIQrAwHAlzW7YFlrD0o62Ph1mTEmR1JXSRQsoIkKj1Xqobfz9MqG/WrfJlx3TR2oa8Z0V2RYqNvRAACnwdFzsIwxPSSNkLTayfUCweJ4VZ0eXblDmR/tliTNGd9b3z+/t9q34cpAAPAnjhUsY0xbSS9J+rG19sQp/vtsSbMlqXv37k5tFggINfUePfXxHv1t5Q4dr6rTZSNSdOs3+qlrXBu3owEAmsCRgmWMCVdDuXrGWvvyqb7HWjtX0lxJSktLs05sF/B3Xq/V65sO6IG3tqvwWJXG90vU7ZNTNbBLO7ejAQCawYmrCI2kJyXlWGsfan4kIDh8tPOw7luaq837j2tg53Z66rohOrdvotuxAAAOcGIP1jmSpkvabIzZ0LjsTmvtUgfWDQSc7YfKdP+buVqRW6wu7aP00JXD9O3hXbkyEAACiBNXEX4gib8MwFc4dLxaf34nTy+s3aeYyDDdMSVVM8b1UFQ4VwYCQKBhJneghZVV1+nx9wo074MCeb3SrHN66gcX9FGHmAi3owEAWggFC2ghtfVePbdmrx5enq+jFbW6eFgX/ezC/uoWH+12NABAC6NgAQ6z1urNLYd0/5u52n2kUmN6xevObw7Q0JQ4t6MBAFoJBQtw0Lq9x3TPv3O0ds8x9Utuq8yMdJ3fP1ENF9sCAIIFBQtwwL6jlbr/zVz9a9NBJcZG6g+XDdHlo1IUFhridjQAgAsoWEAzHK+q099X7tCCD3crJES6eWJfzRnfSzGRvLUAIJjxVwBogtp6r55ZvUcPL8/X8ao6fWdkim77Rn91ah/ldjQAgA+gYAFnwFqrt7YW6f43c7XrcIXO6dNRd35zgAZ1ae92NACAD6FgAadp475S3bM0R2t2HVWfJE5gBwB8OQoW8BUKj1Xqgbe269UNB9QxJkK///ZgTUvvxgnsAIAvRcECvsSJ6jo9unKn5n+4S0bSDy7orRvP663YqHC3owEAfBwFC/icOo9Xi9fs1Z+XNczAftmIrrrtwv7qEtfG7WgAAD9BwQIaWWu1PKdY976Ro4KSCo3pFa9fXjRQg7tyAjsA4MxQsABJW/Yf1z3/ztHHBUfUKzFGT1ybpkkDkjiBHQDQJBQsBLUDpVX601vb9fL6/YqPidDdlwzSVaO7K5wT2AEAzUDBQlAqr6nXY+/u0Lz3d8lKuvG83rrpgt5qxwnsAAAHULAQVOo9Xj2fvU9/fidPh8trdcnwLrrtG/3VLT7a7WgAgABCwUJQsNbq3e0lundpjvKLy5Xeo4PmzUjX8G5xbkcDAAQgChYC3rYDJ3TP0m36cMcR9egYrX9cM0oXDkrmBHYAQIuhYCFgHTperQff3q4X1xWqfZtw/fpbA3X12WcpIowT2AEALYuChYBTUVOvx1cV6IlVBfJ4rW44t5d+cH4ftY/mBHYAQOugYCFgeLxWL2Tv04Pv5KmkrEZTh3bWzy9MVfeOnMAOAGhdFCwEhPfySnTvv3O0vahMI7vH6fHpozSyewe3YwEAghQFC34t99AJ3bs0V6vyStQ9PlqPXj1SUwZ34gR2AICrKFjwS8UnqvXQO3lakr1PsVHh+uVFAzR97FmKDAt1OxoAABQs+JfK2no9sWqXHl+1U3UerzLG9dTNE/soLjrC7WgAAHyGggW/4PFavbSuUA++vV1FJ2o0ZXAn/WJyqnokxLgdDQCAL6Bgwed9kH9Y9yzNUc7BExreLU5//95IpfWIdzsWAABfioIFn5VXVKb7luZo5fYSpXRoo79eNUJTh3bmBHYAgM+jYMHnlJTV6M/L8rR4zV7FRIbpjimpmjGuh6LCOYEdAOAfKFjwGVW1Hj35QYEee3enauq9unZsD908sa/iYziBHQDgXyhYcJ3Xa/XK+v3609vbdfB4tb4xMFm3T0lVr8S2bkcDAKBJKFhw1cc7j+iepdu0Zf8JDU1prz9/d7jG9OrodiwAAJqFggVX7Cgu1x/eyNGynGJ1aR+lv3x3uC4e1kUhIZzADgDwfxQstKoj5TX6y7J8Pbtmr9qEh+rnk/tr1jk9OYEdABBQKFhoFdV1Hs3/cJceXblTVXUefW90d90yqa8S2ka6HQ0AAMdRsNCivF6r1zcd0B/f3K79pVWaNCBJt09JVZ+kWLejAQDQYihYaDE19R5dvzBb7+cf1qAu7fTA5UM1rk+C27EAAGhxFCy0CK/X6rYXNun9/MP67cWDNH3MWZzADgAIGhQstIj738rV6xsP6BeTG2ZhBwAgmIS4HQCBZ9HHu/X4ewW6Zkx33XheL7fjAADQ6ihYcNTbWw/pN69t1aQBSfrNtwZxY2YAQFCiYMEx6/ce082L12tISpweuWqEwkJ5eQEAghN/AeGI3YcrdN3CbCXFRunJGWmKjuD0PgBA8KJgodmOlNcoI3ONrLVaOGs0k4cCAIIeuxnQLFW1Hl23MFsHj1fr2RvGqGdCjNuRAABwHQULTebxWt28eL02FpbqsatHadRZHdyOBACAT3DkEKExZr4xptgYs8WJ9cH3WWt19+tb9c62Iv166kBNHtzJ7UgAAPgMp87BWiBpskPrgh944v0CLfx4j244t6cyzunpdhwAAHyKIwXLWrtK0lEn1gXf99rGA7p3aa4uGtpZd0wZ4HYcAAB8TqtdRWiMmW2MyTbGZJeUlLTWZuGwTwqO6LYlGzW6Z7wevGIY9xcEAOAUWq1gWWvnWmvTrLVpiYmJrbVZOCi/qEyzF2WrW3wbzZ0+SlHhoW5HAgDAJzEPFk5L0YlqZWRmKTI8VAtmjlZcdITbkQAA8FkULHyl8pp6zczM0rHKWmVmpKtbfLTbkQAA8GlOTdPwnKSPJfU3xhQaY65zYr1wX53Hq5ueWaftRWV69OqRGty1vduRAADweY5MNGqtvcqJ9cC3WGv1f69s1qq8Et3/nSE6v3+S25EAAPALHCLEl3p4eb6WZBfq5ol99d307m7HAQDAb1CwcEpLsvfpL8vydfmoFP1kUl+34wAA4FcoWPiC9/JKdOfLm3Vu3wTdd9kQGcNcVwAAnAkKFv7Llv3HddPTa9U3OVaPXj1S4aG8RAAAOFP89cRn9pdWadaCLLVvE64FM9MVGxXudiQAAPySI1cRwv8dr6xTxvw1qqrz6KXvj1Nyuyi3IwEA4LfYgwXV1Hs0+6ls7TlSqbnT09QvOdbtSAAA+DX2YAU5r9fqthc2afWuo3p42nCN7d3R7UgAAPg99mAFufvfytXrGw/oF5NTdcnwrm7HAQAgIFCwgtiij3fr8fcKdM2Y7rrxvF5uxwEAIGBQsILU2yJCMscAABHlSURBVFsP6TevbdWkAcn67cWDmesKAAAHUbCC0Pq9x3Tz4vUakhKnv141QqEhlCsAAJxEwQoyuw9X6LqF2UqKjdKTM9LUJiLU7UgAAAQcClYQOVJeo4zMNbLWauGs0UpoG+l2JAAAAhLTNASJqlqPrluYrYPHq/Xc7DHqmRDjdiQAAAIWBSsIeLxWNy9er42FpXrs6lEa2b2D25EAAAhoHCIMcNZa/fb1rXpnW5F+PXWgJg/u5HYkAAACHgUrwM1dVaBFH+/R7PG9lHFOT7fjAAAQFChYAey1jQd03xu5mjq0s26fnOp2HAAAggYFK0B9UnBEty3ZqNE94/WnK4YphLmuAABoNRSsAJRfVKbZi7LVvWO05k4fpahw5roCAKA1UbACTNGJamVkZikyPFQLZqYrLjrC7UgAAAQdClYAKa+p18zMLB2rrFVmRrpSOkS7HQkAgKDEPFgBos7j1U3PrNP2ojI9OSNNg7u2dzsSAABBiz1YAcBaqztf3qxVeSW679IhOr9/ktuRAAAIahSsAPDw8ny9sLZQN0/sqyvTu7kdBwCAoEfB8nNLsvfpL8vydfmoFP1kUl+34wAAAFGw/Np7eSW68+XNOrdvgu67bIiMYa4rAAB8AQXLT23Zf1w3Pb1WfZNj9ejVIxUeylMJAICv4K+yH9pfWqVZC7LUvk24FsxMV2xUuNuRAADASZimwc8cr6xTxvw1qqrz6KXvj1Nyuyi3IwEAgM9hD5Yfqan3aPZT2dpzpFJzp6epX3Ks25EAAMApsAfLT3i9Vre9sEmrdx3Vw9OGa2zvjm5HAgAAX4I9WH7i/rdy9frGA7p9SqouGd7V7TgAAOB/oGD5gUUf79bj7xVo+pizNGd8L7fjAACAr0DB8nFvbz2k37y2VZMGJOs3Fw9irisAAPwABcuHrd97TDcvXq8hKXH661UjFBpCuQIAwB9QsHzU7sMVum5htpLbRenJGWlqExHqdiQAAHCaKFg+6Eh5jTIy10iSFswcrYS2kS4nAgAAZ4KC5WOqaj26bmG2Dh6v1rwZaeqZEON2JAAAcIaYB8uHeLxWNy9er42FpfrHNaM0snsHtyMBAIAmYA+Wj7DW6revb9U724r0m28N0oWDOrkdCQAANBEFy0fMXVWgRR/v0ezxvTRjXA+34wAAgGagYPmA1zYe0H1v5Grq0M66fXKq23EAAEAzUbBc9knBEd22ZKNG94zXg1cOUwhzXQEA4PcoWC7KLyrT7EXZ6t4xWk9MT1NkGHNdAQAQCChYLik6Ua2MzCxFhodqwcx0tY8OdzsSAABwiCMFyxgz2Riz3RizwxhzuxPrDGTlNfWamZml0spaZWakK6VDtNuRAACAg5pdsIwxoZL+LmmKpIGSrjLGDGzuegNVncerm55Zp+1FZXr0mlEa3LW925EAAIDDnNiDNVrSDmttgbW2VtJiSZc4sN6AY63VnS9v1qq8Et136RCd1y/R7UgAAKAFOFGwukrad9LjwsZl/8UYM9sYk22MyS4pKXFgs/7n4eX5emFtoW6Z2FdXpndzOw4AAGghThSsU80rYL+wwNq51to0a21aYmLw7bl5Pmuv/rIsX1eMStGPJ/V1Ow4AAGhBTtyLsFDSybtjUiQdcGC9AWPe+wX6/b9zNL5fou69bIiMYa4rAAACmRMFK0tSX2NMT0n7JU2T9D0H1uv3vF6rP7yZq7mrCvTNIZ300JXDFR7KzBgAAAS6Zhcsa229MeaHkt6SFCppvrV2a7OT+bnaeq9+/uJG/XPDAV079iz9+luDFMos7QAABAUn9mDJWrtU0lIn1hUIymvq9f2n1+r9/MP62YX9ddP5vTksCABAEHGkYOE/SspqNHPBGuUcLNMfLx+qK9O4WhAAgGBDwXLQ7sMVunb+GhWXVeuJa0dpQmqy25EAAIALKFgO2VRYqpmZWfJaq+duGKMR3Tu4HQkAALiEguWAVXkluvHptYqPidDCWaPVO7Gt25EAAICLKFjN9Mr6Qv3shU3qmxyrhTPTldQuyu1IAADAZRSsJrLW6on3C3Tv0lyN691R/5g+Su2iwt2OBQAAfAAFqwm8Xqt7luboyQ92aerQznrwymGKDAt1OxYAAPARFKwzVFPv0W0vbNLrGw9o5jk9dNdFAxXCBKIAAOAkFKwzUFZdpzlPrdVHO4/ojimpmj2+FxOIAgCAL6BgnabiE9XKyMxSXlGZHrpymC4bmeJ2JAAA4KMoWKehoKRc185fo6MVtXoyI13n9Ut0OxIAAPBhFKyvsH7vMV23MFtG0nM3jNGwbnFuRwIAAD6OgvU/rMwt1k3PrFNCbIQWzTpbPRNi3I4EAAD8AAXrS7yQvU+3v7xZqZ1ilTkzXUmxTCAKAABODwXrc6y1evTdnXrgre36Wp8E/WP6KLWN5H8TAAA4fTSHk3i8Vne/vlULP96jS4Z30QOXD1NEWIjbsQAAgJ+hYDWqrvPo1iUbtHTzId1wbk/dMWUAE4gCAIAmoWBJOlFdp9mLsvVJwVH93zcH6IbxvdyOBAAA/FjQF6yiE9WaMX+NdpaU6+Fpw3XJ8K5uRwIAAH4uqAvWjuJyzZi/RqWVtcrMGK2v9U1wOxIAAAgAQVuw1u45pusWZiksJETPzxmrwV3bux0JAAAEiKAsWMtzivSDZ9epU7soLZp1trp3jHY7EgAACCBBV7Cez9qrO1/ZosFd2unJjHQltI10OxIAAAgwQVOwrLX624odevCdPJ3XL1GPXj1SMUwgCgAAWkBQNAyP1+pXr27RM6v36rKRXXX/d4YqPJQJRAEAQMsI+IJVXefRLYvX662tRbrxvN76xeT+MoYJRAEAQMsJ6IJ1vLJO1y/KUvaeY/rV1IGa9bWebkcCAABBIGAL1oHSKmVkrtHuw5V6ZNoIfWtYF7cjAQCAIBGQBSu/qEzXzl+jsup6LZiZrnF9mEAUAAC0noArWNm7j+q6hdmKCAvR83PGaFAXJhAFAACtK6AK1ltbD+nm59ara1wbLZw1Wt3imUAUAAC0voApWM+s3qO7/rlFQ1PiND8jXfExEW5HAgAAQcrvC5a1Vn9Zlq+Hl+frgv6J+vvVIxUd4ffDAgAAfsyvm0i9x6u7Xt2i59bs0xWjUnTvZUOYQBQAALjObwtWVa1HP3puvZblFOmHF/TRT7/RjwlEAQCAT/DLglVaWavrFmZr3d5j+t0lgzR9bA+3IwEAAHzG7wrW/tIqzZi/RnuPVurR743UlCGd3Y4EAADwX/yqYOUeOqEZ89eostajRbNGa0yvjm5HAgAA+AK/KVifFBzRDYuyFR0RqhduHKvUTu3cjgQAAHBKflGw3th8ULc8v0HdOrTRouvOVte4Nm5HAgAA+FI+X7AWfbxbv35tq0Z0i9OTM9LVgQlEAQCAj/PZgmWt1YNv5+lvK3do0oBk/fWqEWoTEep2LAAAgK/kkwWr3uPVna9s1pLsQl01upt+d8lghTGBKAAA8BM+V7Aqa+v1w2fXa0VusW6Z2Fc/ntSXCUQBAIBf8amCdbSiVrMWZGlTYanuuXSwrj77LLcjAQAAnDGfKVj7jlZqxvw12l9apceuGaULB3VyOxIAAECT+ETB2nbghGZkrlFNnUdPX3+20nvEux0JAACgyZp15rgx5gpjzFZjjNcYk9aUdXy087C++/jHCgsxevH74yhXAADA7zX30rwtki6TtKopP/yvTQeUMT9LneOi9PJN49QvObaZcQAAANzXrEOE1tocSU26yi/zw126+1/blH5WvJ64Nk3to8ObEwUAAMBntNo5WMaY2ZJmS1KHrj3129e36cJByXp42ghFhTOBKAAACBxfWbCMMcskneqSvv+z1r56uhuy1s6VNFeSIjv3td8/u7vuvmSwQkOY4woAAASWryxY1tpJTm80uV2Ufv/twUwgCgAAApIr959Jio2kXAEAgIDV3GkaLjXGFEoaK+nfxpi3nIkFAADgv5p7FeErkl5xKAsAAEBAcOUQIQAAQCCjYAEAADiMggUAAOAwChYAAIDDKFgAAAAOo2ABAAA4jIIFAADgMAoWAACAwyhYAAAADqNgAQAAOIyCBQAA4DBjrW39jRpTJml7q2/YfQmSDrsdwgWMO7gw7uDCuINLsI67v7U29kx+oFk3e26G7dbaNJe27RpjTDbjDh6MO7gw7uDCuIOLMSb7TH+GQ4QAAAAOo2ABAAA4zK2CNdel7bqNcQcXxh1cGHdwYdzB5YzH7cpJ7gAAAIGMQ4QAAAAOa9WCZYyZbIzZbozZYYy5vTW33dqMMfONMcXGmC0nLYs3xrxjjMlv/NzBzYxOM8Z0M8asNMbkGGO2GmNuaVwe6OOOMsasMcZsbBz3bxuX9zTGrG4c9/PGmAi3s7YEY0yoMWa9MeZfjY8DftzGmN3GmM3GmA2fXl0U6K9zSTLGxBljXjTG5Da+z8cG+riNMf0bn+dPP04YY34c6OOWJGPMTxp/p20xxjzX+LsuGN7ftzSOeasx5seNy874+W61gmWMCZX0d0lTJA2UdJUxZmBrbd8FCyRN/tyy2yUtt9b2lbS88XEgqZf0U2vtAEljJP2g8TkO9HHXSJpgrR0mabikycaYMZLul/TnxnEfk3Sdixlb0i2Sck56HCzjvsBaO/ykS9YD/XUuSQ9LetNamyppmBqe94Aet7V2e+PzPFzSKEmVkl5RgI/bGNNV0s2S0qy1gyWFSpqmAH9/G2MGS7pB0mg1vManGmP6qgnPd2vuwRotaYe1tsBaWytpsaRLWnH7rcpau0rS0c8tvkTSwsavF0r6dquGamHW2oPW2nWNX5ep4ZdvVwX+uK21trzxYXjjh5U0QdKLjcsDbtySZIxJkXSRpHmNj42CYNxfIqBf58aYdpLGS3pSkqy1tdbaUgX4uD9noqSd1to9Co5xh0lqY4wJkxQt6aAC//09QNIn1tpKa229pPckXaomPN+tWbC6Stp30uPCxmXBJNlae1BqKCOSklzO02KMMT0kjZC0WkEw7sbDZBskFUt6R9JOSaWNb1ApcF/vf5H0c0nexscdFRzjtpLeNsasNcbMblwW6K/zXpJKJGU2HhKeZ4yJUeCP+2TTJD3X+HVAj9tau1/SnyTtVUOxOi5prQL//b1F0nhjTEdjTLSkb0rqpiY8361ZsMwplnEJYwAyxrSV9JKkH1trT7idpzVYaz2NhxBS1LC3dsCpvq11U7UsY8xUScXW2rUnLz7FtwbUuBudY60dqYZTHn5gjBnvdqBWECZppKTHrLUjJFUowA6L/S+N5xpdLOkFt7O0hsZzjC6R1FNSF0kxani9f15Avb+ttTlqOAz6jqQ3JW1Uw+kvZ6w1C1ahGlrgp1IkHWjF7fuCImNMZ0lq/Fzsch7HGWPC1VCunrHWvty4OODH/anGQybvquEctLjGXetSYL7ez5F0sTFmtxoO+U9Qwx6tQB+3rLUHGj8Xq+F8nNEK/Nd5oaRCa+3qxscvqqFwBfq4PzVF0jprbVHj40Af9yRJu6y1JdbaOkkvSxqn4Hh/P2mtHWmtHa+GU33y1YTnuzULVpakvo1XIESoYVfra624fV/wmqQZjV/PkPSqi1kc13j+zZOScqy1D530nwJ93InGmLjGr9uo4RdTjqSVki5v/LaAG7e19g5rbYq1toca3s8rrLVXK8DHbYyJMcbEfvq1pG+o4bBCQL/OrbWHJO0zxvRvXDRR0jYF+LhPcpX+c3hQCvxx75U0xhgT3fi7/dPnO6Df35JkjElq/Nxd0mVqeN7P+Plu1YlGjTHfVMO/cEMlzbfW3tNqG29lxpjnJJ2vhjuPF0n6taR/SloiqbsaXrxXWGs/fyK83zLGfE3S+5I26z/n5NyphvOwAnncQ9Vw0mOoGv7RssRae7cxppca9uzES1ov6RprbY17SVuOMeZ8SbdZa6cG+rgbx/dK48MwSc9aa+8xxnRUAL/OJckYM1wNFzRESCqQNFONr3kF9rij1XAOcS9r7fHGZcHwfP9W0nfVcIhsvaTr1XDOVcC+vyXJGPO+Gs4nrZN0q7V2eVOeb2ZyBwAAcBgzuQMAADiMggUAAOAwChYAAIDDKFgAAAAOo2ABAAA4jIIFAADgMAoWAACAwyhYAAAADvt/5DQciGg/GhUAAAAASUVORK5CYII=\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"s.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The Series object’s ***index*** is passed to matplotlib for plotting on the ***x-axis***, though you can disable this by passing **use_index=False**. The x-axis ticks and limits can be adjusted with the xticks and xlim options, and y-axis respectively with yticks and ylim. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Most of pandas’s plotting methods accept an optional ***ax*** parameter, which can be a\n",
"matplotlib subplot object."
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:49.203602Z",
"start_time": "2019-12-24T22:46:49.015106Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df = pd.DataFrame(np.random.randn(10, 4).cumsum(0), columns=['A', 'B', 'C', 'D'],\n",
" index=np.arange(0, 100, 10))\n",
"\n",
"df.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Series.plot method arguments**\n",
"\n",
"|Argument| Description|\n",
"|--|--|\n",
"|label| Label for plot legend|\n",
"|ax| matplotlib subplot object to plot on; if nothing passed, uses active matplotlib subplot|\n",
"|style| Style string, like 'ko--', to be passed to matplotlib|\n",
"|alpha| The plot fill opacity (from 0 to 1)|\n",
"|kind| Can be 'area', 'bar', 'barh', 'density', 'hist', 'kde', 'line', 'pie'|\n",
"|logy| Use logarithmic scaling on the y-axis|\n",
"|use_index| Use the object index for tick labels|\n",
"|rot| Rotation of tick labels (0 through 360)|\n",
"|xticks| Values to use for x-axis ticks|\n",
"|yticks| Values to use for y-axis ticks\n",
"|xlim| x-axis limits (e.g., [0, 10])|\n",
"|ylim| y-axis limits|\n",
"|grid| Display axis grid (on by default)|"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***DataFrame-specific plot arguments***\n",
"\n",
"|Argument| Description|\n",
"|--|--|\n",
"|subplots| Plot each DataFrame column in a separate subplot|\n",
"|sharex| If subplots=True, share the same x-axis, linking ticks and limits|\n",
"sharey| If subplots=True, share the same y-axis|\n",
"|figsize| Size of figure to create as tuple|\n",
"|title| Plot title as string|\n",
"|legend| Add a subplot legend (True by default)|\n",
"|sort_columns| Plot columns in alphabetical order; by default uses existing column order|"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Bar Plots"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:49.207631Z",
"start_time": "2019-12-24T22:46:49.204600Z"
}
},
"outputs": [],
"source": [
"# plot.bar() and plot.barh() make vertical and horizontal bar plots"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:49.620962Z",
"start_time": "2019-12-24T22:46:49.208588Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 1)\n",
"data = pd.Series(np.random.rand(16), index=list('abcdefghijklmnop'))\n",
"data.plot.bar(ax=axes[0], color='k', alpha=0.7)\n",
"data.plot.barh(ax=axes[1], color='k', alpha=0.7)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With a DataFrame, bar plots group the values in each row together in a group in bars,\n",
"side by side, for each value. "
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:49.635937Z",
"start_time": "2019-12-24T22:46:49.621958Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(x='tip_pct', y='day', hue='time', data=tips, orient='h')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Histograms and Density Plots"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A histogram is a kind of bar plot that gives a discretized display of value frequency.\n",
"The data points are split into discrete, evenly spaced bins, and the number of data\n",
"points in each bin is plotted."
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:52.218304Z",
"start_time": "2019-12-24T22:46:52.005831Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"tips['tip_pct'].plot.hist(bins=50)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A related plot type is a density plot, which is formed by computing an estimate of a continuous probability distribution that might have generated the observed data. The usual procedure is to approximate this distribution as a mixture of “kernels”—that is, simpler distributions like the normal distribution. Thus, density plots are also known as kernel density estimate (KDE) plots. Using plot.kde makes a density plot using the conventional mixture-of-normals estimate "
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:52.363919Z",
"start_time": "2019-12-24T22:46:52.219274Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"tips['tip_pct'].plot.density()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Seaborn makes histograms and density plots even easier through its **distplot**\n",
"method, which can plot both a histogram and a continuous density estimate simulta‐\n",
"neously"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:52.378835Z",
"start_time": "2019-12-24T22:46:52.364873Z"
}
},
"outputs": [],
"source": [
"# example - bimodal distribution consisting of draws from\n",
"# two different standard normal distributions"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:52.530516Z",
"start_time": "2019-12-24T22:46:52.379831Z"
}
},
"outputs": [],
"source": [
"comp1 = np.random.normal(0, 1, size=200)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:52.681026Z",
"start_time": "2019-12-24T22:46:52.531512Z"
}
},
"outputs": [],
"source": [
"comp2 = np.random.normal(10, 2, size=200)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:53.180808Z",
"start_time": "2019-12-24T22:46:52.683021Z"
}
},
"outputs": [],
"source": [
"values = pd.Series(np.concatenate([comp1, comp2]))"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"ExecuteTime": {
"end_time": "2019-12-24T22:46:53.682769Z",
"start_time": "2019-12-24T22:46:53.186782Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
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