Created
February 19, 2018 23:28
-
-
Save jorisvandenbossche/926234900d5f54ef4e1016d77098ff46 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "%matplotlib inline", | |
| "execution_count": 1, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nimport matplotlib\nimport matplotlib.pyplot as plt", | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "pd.__version__", | |
| "execution_count": 3, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "'0.23.0.dev0+300.gb9079e9'" | |
| }, | |
| "execution_count": 3 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "matplotlib.__version__", | |
| "execution_count": 4, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "'2.2.0rc1'" | |
| }, | |
| "execution_count": 4 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "pd.plotting.deregister_matplotlib_converters()", | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "matplotlib.units.registry", | |
| "execution_count": 6, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "{bytes: <matplotlib.category.StrCategoryConverter at 0x7f3a20437400>,\n numpy.bytes_: <matplotlib.category.StrCategoryConverter at 0x7f3a204374a8>,\n datetime.date: <matplotlib.dates.DateConverter at 0x7f3a23bf3198>,\n numpy.str_: <matplotlib.category.StrCategoryConverter at 0x7f3a20437438>,\n str: <matplotlib.category.StrCategoryConverter at 0x7f3a20437470>,\n datetime.datetime: <matplotlib.dates.DateConverter at 0x7f3a23bf31d0>,\n numpy.datetime64: <matplotlib.dates.DateConverter at 0x7f3a23bf3160>}" | |
| }, | |
| "execution_count": 6 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18283 -> NOT YET OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import matplotlib.pyplot as plt\nxticks = pd.date_range(start=\"10/10/2017\", end=\"11/11/2017\",\n freq='D')\ntry:\n plt.xticks(xticks, xticks.strftime(\"%a %m-%d\"));\nexcept TypeError as e:\n print(e)\n ", | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "text": "Cannot compare type 'Timestamp' with type 'float'\n", | |
| "name": "stdout", | |
| "output_type": "stream" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhMGXpCYMviQ18f+GmWq6NWLIwgAAAABJRU5ErkJggg==\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18322 -> OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "from matplotlib import dates\n\nt = np.arange(10)\nts = pd.datetime(2017, 11, 16) + pd.to_timedelta(t, 's')\ndf = pd.DataFrame(t, index=ts)\n\nfig, ax = plt.subplots()\nax.plot(df)\n# workaround:\n# ax.plot(df.index.to_pydatetime(), df)\n\n# format time axis\nhfmt = dates.DateFormatter('%m/%d %H:%M')\nax.xaxis.set_major_formatter(hfmt)\nfig.autofmt_xdate()", | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEDCAYAAAArwUMAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nERFp0v8DcoDmmaaMxNwAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18404 -> NOT YET OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))\nplt.plot(ts.index, ts)", | |
| "execution_count": 7, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "[<matplotlib.lines.Line2D at 0x7ff172d2c860>]" | |
| }, | |
| "execution_count": 7 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD8CAYAAABjAo9vAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "pd.plotting.register_matplotlib_converters()\nplt.plot(ts.index, ts)\npd.plotting.deregister_matplotlib_converters()", | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAD8CAYAAACVZ8iyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5YcAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18716 -> OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "t = pd.date_range('1940-01-01', '1940-08-01', freq='1H', closed='left')\ndf = pd.DataFrame(np.random.randn(t.size, 10), index=t)", | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig, axe0 = plt.subplots()\naxe0.plot(df)\nplt.show(axe0)\naxe0.get_xticks()", | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAD8CAYAAAB9y7/cAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKBQZyv8DvBduy4GDIsoAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "array([ 708205., 708236., 708265., 708296., 708326., 708357.,\n 708387., 708418.])" | |
| }, | |
| "execution_count": 8 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18153 -> NOT YET OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ind = pd.DatetimeIndex(start = '2010', end = '2011', freq='D')\ns = pd.Series(data = 1.0, index = ind)\n\n# plottling like this results in integer timestamps on the x-axis\nfig, ax = plt.subplots()\nax.plot(s.index, s)", | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "[<matplotlib.lines.Line2D at 0x7f3a1fa3ecc0>]" | |
| }, | |
| "execution_count": 9 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAD8CAYAAABthzNFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJDVZEJKkJgtCktRkQUiSmv4Pi6WSKS7mmcMAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18192 -> NOT YET OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "plt.plot(pd.to_datetime(np.linspace(1501288700, 1501290000, 10), unit='s'), np.arange(10))", | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "[<matplotlib.lines.Line2D at 0x7f3a1d1acf60>]" | |
| }, | |
| "execution_count": 10 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAEJCAYAAACNNHw2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/0rjXGHEzTltAAAAAElFTkSuQmCC\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/pandas-dev/pandas/issues/18212 -> OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import seaborn as sns\n\nindex = pd.date_range('2017-06-01', periods=16)\ndf = pd.DataFrame(index=index, columns=['a', 'b', 'c'])\ndf.iloc[:2, 0] = '1000'\ndf.iloc[[2, 3, 6, 8, 10, 12, 14, 15], 1] = '1000'\ndf.iloc[[4, 5, 9, 13], 2] = '1000'\ndf.iloc[[7, 11], 1] = '1001'\ndf.index.name = 'Datetime'\ndf.columns.name = 'Element'\ndf = df.stack().rename('Event').reset_index()\ndf['Event / Element'] = df['Event'] + ' / ' + df['Element']\nsns.stripplot(x='Datetime', y='Event / Element', hue='Element', data=df, orient='h')", | |
| "execution_count": 12, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f3a102db668>" | |
| }, | |
| "execution_count": 12 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAFYCAYAAAAVwVXcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
| "text/plain": "<Figure size 576x396 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/matplotlib/matplotlib/issues/9577 -> OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "x = [np.datetime64(\"2000-01-{x:02d}\".format(x=x)) for x in range(1, 5)]\ny = np.arange(3)\nC = np.arange(3*4).reshape(3,4)\nplt.pcolor(x, y, C)", | |
| "execution_count": 15, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "<matplotlib.collections.PolyCollection at 0x7f3a0e2abbe0>" | |
| }, | |
| "execution_count": 15 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfsAAAFOCAYAAACBjLQUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4Yg9AACGI/YAABiO2AMAYLj/A0fV81CdXmvnAAAAAElFTkSuQmCC\n", | |
| "text/plain": "<Figure size 576x396 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/matplotlib/matplotlib/issues/9771 -> OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig, sub = plt.subplots()\nx = np.array(['2015-07-13T04:32:23+0200', '2015-07-13T04:32:24+0200', '2015-07-13T04:32:25+0200'], dtype=\"datetime64\")\ny = np.arange(len(x))\nsub.plot(x, y)\nsub.set_xlim(xmin=x[0], xmax=x[-1])", | |
| "execution_count": 16, | |
| "outputs": [ | |
| { | |
| "text": "/home/joris/miniconda3/envs/dev/lib/python3.5/site-packages/ipykernel/__main__.py:2: DeprecationWarning: parsing timezone aware datetimes is deprecated; this will raise an error in the future\n from ipykernel import kernelapp as app\n", | |
| "name": "stderr", | |
| "output_type": "stream" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "(735792.10582175921, 735792.10584490746)" | |
| }, | |
| "execution_count": 16 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgoAAAFKCAYAAAB8cXekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", | |
| "text/plain": "<Figure size 576x396 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/matplotlib/matplotlib/issues/9610#issuecomment-344003748 -> NOT YET OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "time = pd.date_range('2000-01-01', periods=20)\ndepth = np.arange(20)\ndata = np.random.rand(20, 20)\n\nfig, ax = plt.subplots()\nax.plot(time, data[3,:])\nplt.show()", | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeEAAAFXCAYAAACV2fZmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCGEl/wPy+zSZpPoOQAAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 576x396 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "## https://github.com/matplotlib/matplotlib/issues/9613 -> PARTLY OK" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import datetime as dt\nimport matplotlib.pyplot as plt\nfrom matplotlib import style\nimport pandas_datareader.data as web\nstyle.use('ggplot')\n\nstart = dt.datetime(2017,10,1)\nend = dt.datetime(2017,10,28)\ndf = web.DataReader('AAPL', 'google', start, end)", | |
| "execution_count": 22, | |
| "outputs": [ | |
| { | |
| "text": "/home/joris/miniconda3/envs/dev/lib/python3.5/site-packages/pandas_datareader/google/daily.py:40: UnstableAPIWarning: \nThe Google Finance API has not been stable since late 2017. Requests seem\nto fail at random. Failure is especially common when bulk downloading.\n\n warnings.warn(UNSTABLE_WARNING, UnstableAPIWarning)\n", | |
| "name": "stderr", | |
| "output_type": "stream" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ax1 = plt.subplot2grid((6,1), (0,0), rowspan=5, colspan=1)\nax2 = plt.subplot2grid((6,1), (5,0), rowspan=1, colspan=1, sharex=ax1)\nax1.plot(df.index, df['Close'])\nax2.bar(df.index, df['Volume'])\nplt.show()", | |
| "execution_count": 28, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfMAAAFKCAYAAAAJyrb2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
| "text/plain": "<Figure size 576x396 with 2 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig, ax = plt.subplots()\nax.bar(df.index, df['Volume'])", | |
| "execution_count": 29, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "<BarContainer object of 20 artists>" | |
| }, | |
| "execution_count": 29 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "metadata": {}, | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeoAAAFVCAYAAAAg8ayaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
| "text/plain": "<Figure size 576x396 with 1 Axes>" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "a = ax.get_xticklabels()[0]", | |
| "execution_count": 31, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ax.xaxis.converter", | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "<matplotlib.dates.DateConverter at 0x7f3a23bf3160>" | |
| }, | |
| "execution_count": 34 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "`bar` seems to work because under the hood is does a `np.atleast_1d` on the x data, which turns the index into a datetime64 array, which is then handled correctly:" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "np.atleast_1d(df.index)", | |
| "execution_count": 36, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "array(['2017-10-02T00:00:00.000000000', '2017-10-03T00:00:00.000000000',\n '2017-10-04T00:00:00.000000000', '2017-10-05T00:00:00.000000000',\n '2017-10-06T00:00:00.000000000', '2017-10-09T00:00:00.000000000',\n '2017-10-10T00:00:00.000000000', '2017-10-11T00:00:00.000000000',\n '2017-10-12T00:00:00.000000000', '2017-10-13T00:00:00.000000000',\n '2017-10-16T00:00:00.000000000', '2017-10-17T00:00:00.000000000',\n '2017-10-18T00:00:00.000000000', '2017-10-19T00:00:00.000000000',\n '2017-10-20T00:00:00.000000000', '2017-10-23T00:00:00.000000000',\n '2017-10-24T00:00:00.000000000', '2017-10-25T00:00:00.000000000',\n '2017-10-26T00:00:00.000000000', '2017-10-27T00:00:00.000000000'], dtype='datetime64[ns]')" | |
| }, | |
| "execution_count": 36 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "pd.plotting.register_matplotlib_converters()", | |
| "execution_count": 26, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "matplotlib.units.registry", | |
| "execution_count": 27, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "{bytes: <matplotlib.category.StrCategoryConverter at 0x7fc44e619400>,\n pandas._libs.tslibs.period.Period: <pandas.plotting._converter.PeriodConverter at 0x7fc44dbe2b00>,\n datetime.date: <pandas.plotting._converter.DatetimeConverter at 0x7fc44d073f98>,\n numpy.bytes_: <matplotlib.category.StrCategoryConverter at 0x7fc44e6194a8>,\n datetime.time: <pandas.plotting._converter.TimeConverter at 0x7fc44d073d68>,\n str: <matplotlib.category.StrCategoryConverter at 0x7fc44e619470>,\n pandas._libs.tslibs.timestamps.Timestamp: <pandas.plotting._converter.DatetimeConverter at 0x7fc44dbe2198>,\n datetime.datetime: <pandas.plotting._converter.DatetimeConverter at 0x7fc44d073f28>,\n numpy.datetime64: <pandas.plotting._converter.DatetimeConverter at 0x7fc44d073da0>,\n numpy.str_: <matplotlib.category.StrCategoryConverter at 0x7fc44e619438>}" | |
| }, | |
| "execution_count": 27 | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "pd.plotting.deregister_matplotlib_converters()", | |
| "execution_count": 28, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "matplotlib.units.registry", | |
| "execution_count": 29, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "metadata": {}, | |
| "data": { | |
| "text/plain": "{bytes: <matplotlib.category.StrCategoryConverter at 0x7fc44e619400>,\n datetime.date: <matplotlib.dates.DateConverter at 0x7fc451dd2198>,\n numpy.bytes_: <matplotlib.category.StrCategoryConverter at 0x7fc44e6194a8>,\n str: <matplotlib.category.StrCategoryConverter at 0x7fc44e619470>,\n pandas._libs.tslibs.timestamps.Timestamp: <matplotlib.dates.DateConverter at 0x7fc44dc76d30>,\n datetime.datetime: <matplotlib.dates.DateConverter at 0x7fc451dd21d0>,\n numpy.datetime64: <matplotlib.dates.DateConverter at 0x7fc451dd2160>,\n numpy.str_: <matplotlib.category.StrCategoryConverter at 0x7fc44e619438>}" | |
| }, | |
| "execution_count": 29 | |
| } | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "language_info": { | |
| "file_extension": ".py", | |
| "pygments_lexer": "ipython3", | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "mimetype": "text/x-python", | |
| "nbconvert_exporter": "python", | |
| "name": "python", | |
| "version": "3.5.4" | |
| }, | |
| "kernelspec": { | |
| "name": "dev", | |
| "display_name": "Python 3 (dev)", | |
| "language": "python" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment