From ad8622a7154e6fccde70bb8af737c3b58d6da804 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Thu, 23 Aug 2018 14:40:19 +0200 Subject: [PATCH] some changes --- doc/pub/How2ReadData/ipynb/How2ReadData.ipynb | 90 +++++++----------- doc/pub/Linalg/ipynb/Linalg.ipynb | 93 ++++++++----------- 2 files changed, 73 insertions(+), 110 deletions(-) diff --git a/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb b/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb index a64cef2de..574843fec 100644 --- a/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb +++ b/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb @@ -228,16 +228,22 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.7/site-packages/sklearn/linear_model/base.py:509: RuntimeWarning: internal gelsd driver lwork query error, required iwork dimension not returned. This is likely the result of LAPACK bug 0038, fixed in LAPACK 3.2.2 (released July 21, 2010). Falling back to 'gelss' driver.\n", + " linalg.lstsq(X, y)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -366,15 +372,13 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEWCAYAAACXGLsWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEWCAYAAACXGLsWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAHcBJREFUeJzt3X+UJWV95/H3ZwYGbSAamDGrA9NDzBBDMIlOi7g5MbhIxEkczDG7CwwmJCazwLIadbNCMMGg7W7WaDy7yx4yJioyLaAmxzOuJJxoTMwPMNNjFAMsOvyYHxhlgIhkUUac7/5R1fadnnu77u2uH0/d+rzOuafvra6u+3T17frW83yfH4oIzMzMFrOi6QKYmVn6HCzMzKyQg4WZmRVysDAzs0IOFmZmVsjBwszMCjlYWKdIOkvS/mX8/HWSfqvMMpm1gYOFtY6kByR9S9K/SPqapA9KOq6C97lY0t/0bouISyLi7WW/l1nqHCysrV4VEccBPwG8ALiy4fLURtJRw2wb9Rhmi3GwsFaLiK8Bt5IFDQAkHSPp9yTtlfT1vOno6f1+XtIVku6V9LikuyT9fL79R4DrgJfkNZhv5Ns/KOkd+fO7Jf1cz7GOknRA0gvz12dK+jtJ35D0RUlnDfo9JD1H0h/nP3+/pNf3fO9tkj4mabukbwIXD9h2jKT3Svpq/nivpGPyY5wlab+kt0j6GvCBpZ1x6yoHC2s1SScBrwR292z+b8CpZAHkh4C1wG8POMS9wE8BzwB+B9gu6dkRcTdwCXBbRBwXEc/s87M3Ahf0vH4F8HBEfF7SWuCTwDuAE4D/DPyxpDV9focVwCeAL+ZlPRv4dUmv6NntPOBjwDOBmQHbrgLOzH/vHwfOAN7ac4x/lZdlEtg64HyY9eVgYW31cUmPA/uAh4CrASSJ7EL4xoh4NCIeB94JnN/vIBHx0Yj4akQcioibga+QXWSH8WFgs6SJ/PWFZAEE4CLgloi4JT/2nwOzwKY+x3kRsCYiromIgxFxH/C+BWW+LSI+nh/rWwO2bQGuiYiHIuIAWfB7bc8xDgFXR8STPccwG4rbLa2tXh0Rn5L002QX7dXAN4A1wASwK4sbAAhY2e8gkn4ReBOwPt90XH6sQhGxW9LdwKskfQLYTJY/gezu/d9KelXPjxwNfKbPoSaB58w1deVWAn/d83pfn59buO05wJ6e13vybXMORMS3B/0+ZotxsLBWi4i/kvRB4PeAVwMPA98CfjQiHlzsZyVNkt3Bn012l/5dSV8gCy4Aw0zJPNcUtQK4KyLmmsP2ATdExK8NcYx9wP0RsWGRffqVZeG2r5IFnjvz1+vybYsdw2woboaycfBe4BxJPx4Rh8gCwO9LehaApLUL2v/nHEt2AT2Q7/fLwOk93/86cJKkVYu8903AzwCXktVw5mwnq3G8QtJKSU/Lk8wn9TnG3wOP58nnp+f7ny7pRUP99vNuBN4qaY2k1WR5mu0jHsOsLwcLa728ff5DzCex30KW8L497yn0KeCH+/zcXcC7gdvIAsPzgb/t2eUvyO7Svybp4QHv/U/5z/9r4Oae7fvIEtC/SRaM9gG/QZ//uYj4LvBzZInp+8lqR39IlnQfxTvI8iJ3AF8CPp9vM1s2efEjMzMr4pqFmZkVqiVYSDpX0j2Sdku6os/3L84HI30hf/xqHeUyM7PhVN4bStJK4FrgHGA/sFPSjry9uNfNEXF51eUxM7PR1VGzOAPYHRH3RcRBst4j59XwvmZmVpI6xlms5fDBQ/uBF/fZ7zWSXgp8mWz07RGDkCRtJZ+m4Nhjj934vOc9r4Li9ti1a/D3Nm6s9r3NzCqwa9euhyPiiGlniqQyKO8TwI0R8aSk/wBcD/ybhTtFxDZgG8DU1FTMzs5WW6r162HPniO3T05C1e9tZlYBSX0uasXqaIZ6EDi55/VJ+bbviYhHIuLJ/OUfAmnctk9Pw8TE4dsmJrLtZmYdUkew2AlskHRKPhL2fGBH7w6Snt3zcjNwdw3lKrZlC2zbltUkpOzrtm3ZdjOzDqm8GSoinpJ0OdmaAyuB90fEnZKuAWYjYgfwekmbgaeAR4GLqy7X0LZscXAws85r7QjuWnIWZmZjRtKuiJga9ec8gtvMzAo5WJiZWSEHCzMzK+RgYWZmhRwszMyskIOFmZkVcrAw6zUzk03zsmJF9nVmpukSmSUhlbmhzJo3MwNbt8ITT2Sv9+zJXoMHZlrnuWZhNueqq+YDxZwnnsi2m3Wcg4XZnL17R9tu1iEOFmZz1q0bbbtZhzhYpM4J1/p4SnqzgRwsUjaXcN2zByLmE64OGNXwlPRmA3nW2ZQttlLfAw/UXRozGwOedXYcOeFqZolwsEiZE65mlggHi5Q54WpmiXCwSJkTrmaWCE/3kTqvAW5mCXDNwszMCjlYmJlZIQcLMzMr5GBhZt3l6XSG5gS3mXWT1y8ZiWsWZtZNXr9kJA4WZtZNnk5nJA4WZtZNnk5nJA4WZtZNnk5nJA4WZtZNnk5nJO4NZWbd5el0huaahZmZFXKwMDOzQg4WZmZWyMHCzMwKOVhYMc+fY9Z5tQQLSedKukfSbklXLLLfaySFpKk6ymVDmJs/Z88eiJifP8cBw6xTKg8WklYC1wKvBE4DLpB0Wp/9jgfeAHyu6jLZCDx/jlm6aqz111GzOAPYHRH3RcRB4CbgvD77vR34XeDbNZTJhuX5c8zSVHOtv45gsRbY1/N6f77teyS9EDg5Ij652IEkbZU0K2n2wIED5ZfUjuT5c8zSVHOtv/EEt6QVwHuANxftGxHbImIqIqbWrFlTfeHM8+eYparmWn8dweJB4OSe1yfl2+YcD5wO/KWkB4AzgR1OcifC8+eYpanmWn8dwWInsEHSKZJWAecDO+a+GRGPRcTqiFgfEeuB24HNETFbQ9naoemuq1u2wAMPwKFD2VcHCrPm1VzrrzxYRMRTwOXArcDdwEci4k5J10jaXPX7t567rppZPzXX+hURlRy4alNTUzE724HKx/r1WYBYaHIyu8s3MxuBpF0RMXIzf+MJbivgrqtmlgAHi9S566qZJcDBInXuumpmCXCwSJ27rppZArysaht46Ucza5hrFmZmVsjBwszMCjlYmA3S9Mh5s4Q4Z2HWz9zI+blZPedGzoPzR9ZJrlmY9eNFn8wO42AxJ4UmhxTKYBmPnDc7jIMFpDFZXwplsHkpjpz3zYQ1yMEC0mhySKEMNi+1kfO+mbCGOVhAGk0OKZTB5qU2ct43E9Yw94aCrGmh3zTgdTY5pFAGO1xKI+d9M2ENc80C0mhySKEMlq4UcyjWKQ4WkEaTQwplsHT5ZmJp3CmgNF4pz6wtZmayHMXevVmNYnraNxOLWTiwErIA2/GbsKWulOdgYWbjyUsS9+VlVc3MerlTQKkcLMxsPLlTQKkcLMxsPLlTQKkcLMxsPLmHYak8KM/MxldKAytbzjULMzMr5GBhZmaFHCzMzKyQg4WZmRVysDAzs0IOFmZmVsjBwszMCjlYmJlZIQcLMzMr5GBh48GL3JhVqpZgIelcSfdI2i3pij7fv0TSlyR9QdLfSDqtjnLZmJhb5GbPHojIvm7d6oBhVqLKFz+StBL4MnAOsB/YCVwQEXf17PN9EfHN/Plm4LKIOHex43rxI/seL3JjNrSUFz86A9gdEfdFxEHgJuC83h3mAkXuWKCdy/dZM7zIjVnl6ggWa4F9Pa/359sOI+k/SroX+O/A6/sdSNJWSbOSZg8cOFBJYa2F2rbIjfMr1kLJJLgj4tqIeC7wFuCtA/bZFhFTETG1Zs2aegto6WrTIjfOr1hL1REsHgRO7nl9Ur5tkJuAV1daIhsvbVrk5qqr4IknDt/2xBPZdrOE1bH40U5gg6RTyILE+cCFvTtI2hARX8lf/izwFcxG0ZZFbpxfsZaqPFhExFOSLgduBVYC74+IOyVdA8xGxA7gckkvB74D/DPwS1WXy6wR69b177mVan7FLFdLziIibomIUyPiuRExnW/77TxQEBFviIgfjYifiIiXRcSddZTLSlRV0nbcksFtyq+Y9UgmwW0tVlXSdhyTwW3Kr7TVuN1gJKLyQXlV8aC8hFQ1KM6D7WxUczcYvZ0IJiYckHssdVCeg4Ut34oV2Z3/QhIcOpTecW18+QajUC0juCW9QdL78ue/Neqb2ZiqalBc2wbbWfPc26wyo+Ysnsv8aOzjSy6LtVVVSVsng21UvsGozKjBIoCnSzodeE4F5bE2qipp62Swjco3GJUZKWchaR1wGSDg2ohorG7nnIUlaWYmG429d292Nzs97eBWN/8NFlVLglvSjcCngY9GxGOjvlmZHCwsOe6JYy1Q1xTlFwL3A++UdP2ob2Y21lKa98ljDaxko0738UxgA3AC0Kd/mlmHpdITZ2ENZ24wI7iGY0s2as3incD/BS6MiCOWRzXrtFR64qRUw7GxMXSwkPSTwP8BJoBXStpUWanM2iiVnjhN1XDc9DXWRqlZnACcCKzJH6srKZFZW6XS1beJGs44zOPlYLeoUXtDbYqIW/Lnm+dmjW2Ce0OZDdBEr6y2T7PRoZ5slfeGkvSzwIWSNs09H/XNzKwGTdRwUknuL5XzPIVG6Q21GvhW/vUQ4CGRZqmqe+XAti/q1PZgV4OhaxYRcT3wR8CLgbOBN1ZVKDNrmaaT+8vNN6TSky1ho3ad/VWyZU+vJhucZ2bWbHK/jOR608GuBUYNFl8HnkbWDPUD5RfHzFpry5YsmX3oUPa1rmawMvINqfRkS9iowWIGuA74L8Cnyi+ONc7dB61tyso3NBXsWmKU3lCbgPXAqcCtwMGKymR16g0Oq1fDr/xKu/vKl8VBsz2cb6jFKDWLuYF4vQ9rs4VtvY88AgcX3AOU3X2wDRfhcRhg1iXON9Ri1N5Q3w/8VP58srJSWT36tfX2U1b3wbZchN3nvl2cb6iFl1XtsmGDQFnV+bZchN3nvn1SzTe0oSY9JC+r2mXDBIEyq/NtuQi7DdzK0Jaa9JBGDRbvJltS9bXAb5ZfHKtVv7beo4+GE0+spjrflouw28CtDG2pSQ9plN5QAl4dEVdExFuaXH/bStKvrfcDH4CHH66mOt+Wi7DbwK0MbalJD2nUWWdvAG4BHgOYm4G2CZ51tqVmZrI7q717sxrF9LQvwjaeEp2Jt641uD8FrMLrWdhSpZqINCtbW2rSQyoMFpJum3ued5n9E+COiPhQlQUzM2u1MWvOHKZmcQyApPcARMTjwP+uslBmhxmj7ofWMWNUkx4mWEjSDwAX5UlugKdXWCYbpIsXzTHrfmjWVsMEiyuBvwY+DPy+pMuG/DkrU1cvmmPW/dCsrQov+hHxZxFxakT8OnAz8EPA6yovmR2uqxfNJrofdrEGZ1ZgpBpCRNwWEW+KiJ1VFcgGGLM+20OreyBfV2twqXHATk4tzUmSzpV0j6Tdkq7o8/03SbpL0h2SPi3JkxQu1JbRz2Wru/thV2two6j6Qu6AnaaIqPQBrATuBX6QbIzGF4HTFuzzMmAif34pcHPRcTdu3Bidsn17xMRERPbvkz0mJrLt42779ojJyQgp+1rl7ywdfo7nHlJ179kmdXwOJyf7/w0mJ8t7jy5Z8P+zGu6LJVzLRxrBvRSSXgK8LSJekb++Mg9S/3XA/i8A/ldE/ORix+3kCG6Pfq5eoqNuk1HH+VmxIgsPC0lZF1Qb3lwtrae2vBEO7YpYOeqh6miGWsv8tOYA+/Ntg7wO+NN+35C0VdKspNkDBw6UWMSWGKM+28kas1G3QxmlWamO3FlXm1yr0KdZVUu87ifVBVbSRcAU8K5+34+IbRExFRFTa9asqbdw1g3jNOp2mCAwan6gjgt5FwN2VcoM4ktpuxrlAbwEuLXn9ZXAlX32ezlwN/CsYY7buZyF2SiGzS2Mmh+oK3dWZ55qnPX5+26EiCVcy+uoWewENkg6RdIq4HxgR+8OeZ7iD4DNEfFQDWUyG2/D9uoatVmprprXXJPrDTdkr1/7WnehXYo+tbSAJSV+Kg8WEfEUcDlwK1nN4SMRcaekayRtznd7F3Ac8FFJX5C0Y8DhrGzuzz6ehg0CS2lWqit35i60y9cnuO+FPj0UhrCU6kgKDzdDlaDL3XHH3bDNSyl+BuaaoPqV311olw2YjUSboSxVHoA2voZNEqeW0O+tTQwy7rMWJMrBosu6OoVIF4wSBFLqkt3vBmahKqd6aVOTbM3lParSo1va1q3rfwfn/uzjYcuW9nX5LbpRqaoL7cLBa3P5EUjzHDZQXtcsusz92S01i92oVNlE1rYm2QbK62DRZam1V5sNuoHZvr3aJrI6mmTLbDZqoAnZwaLrUmqvNmvqBqbqkelldwNuYEoUBwszS0sTNzBVN8mW3WzUQBOyg4WZWdU1mrKbjRqogTlYmFl7lZkHqLJGM6h56IQTln7MmmtgDhZm1k5tmg5kehpWrTpy+ze/mWZ5+6h88aOqdHLxIzOb17aFqlavhkceOXJ7zeWVtCsipkb9OdcszCwNozYptW0Ggkcf7b891fIu4GBhZs1bSpNS21bUa1t5F3CwMLPmLaVradtmIGhbeRdwsDCz5i2lSaltMxC0rbwLOFiYWfOW2kTTthkI6ixvybPSetZZM2ve9PThs6hCq5pokrPYrLRL5JqFmTWv5U00yalgVlqPszAzGzcrVmS9yhaSUITHWZhZTdq2qlzXVNBN18HCzEbTpmk2uqqCbroOFmY2mratKtdFFeSAnLMws9Es0h7OoUP1l8dG4rmhzOxwVeUVWj5thS2Ng4XZOKoyr5DStBVOtNfGwcJsHFWZV0hlTIQT7bVyzsJsHHUhr9C29SwS4ZyFWZNSaw7pQl6hbetZtJyDhdlypdgcklJeoSpdCIgJcbAwW64Uxx2kkleoUhcCYkIcLKybymw2SrU5pG3Td4+qCwExIZ6i3Lpnsembl3KhWbeuf6LVzSHV27LFwaEmrllY95TdbOTmEOsABwvrnrKbjdwcYh1QS7CQdK6keyTtlnRFn++/VNLnJT0l6RfqKJN1WBW9aMY9P2CdV3mwkLQSuBZ4JXAacIGk0xbsthe4GPhw1eUxc7ORVSq1MTclqaNmcQawOyLui4iDwE3Aeb07RMQDEXEHMCZDSy1pbjbqljov3imOuSlJHcFiLbCv5/X+fNvIJG2VNCtp9sCBA6UUzjrKzUbdUPfFO8UxNyVpVYI7IrZFxFRETK1Zs6bp4phZ6uq+eKc65qYEdQSLB4GTe16flG8zM6tW3RfvMZ6CpI5gsRPYIOkUSauA84EdNbyvmS1F3QnaKt+v7ot3Kp0nqjinEVH5A9gEfBm4F7gq33YNsDl//iKyXMb/Ax4B7iw65saNG8PMSrZ9e8TERETWwp89Jiay7WUdf3IyQsq+Xnpp9e9X5fEHvWfv71jlew16/0V+Z2A2lnAd93oWZjavyjUiFk6zAllvtH7XoDLXpJiZyXIUe/dmNYpNm+CWW+ZfT0+PVweHgr+h17Mws+Wrso2/X7J50M1qmTmF3p5v09Nw/fVpdm0tq+moor+hg4WZzauyjX+Ui1VVOYVUu7aW2cW3or+hg4WZzasyQTvoYiVV8379pNq1tcwgVtHf0MHCrGxtnu6hytHtgy5il1xS32j6E07ov73prq1lBrGq/oZLyYqn8HBvKEtSE71v2qTJnkLbt0esWnX43wYijj66+b/P5OSR5YJse8lwbyizBFTZm8iWZ9Df5sQT4eGHay/OYfr1FJuYqKSW5d5QZilItU3cBv8NHn203nL004LJLR0szMo0xtM9lKapnE7qf5vEJ7d0sDArUyrTPaSqySm8/bdZFgcLG02be/rUoQXNCcu2nM9Ak+McuvC3qZAT3Da8GpNwlqjlfgZWrOg/alvKml+scktNcDtY2PDc08eW+xnwZ6hx7g1l1XNPH1vsMzBM85TzBq3lYGHDS703iVVv0N/6hBOGS1w7b9BaDhY2PN8V2qDPAAyfuE68i6j152Bhw/NdoQ36DAwa2OYmyv5a2KvQCW4zWz4nrofXcK9CJ7jNrDltb6Ks804/1TU1CjhYmNny1dFEWdUFve5R5S3tVehmKDNLX5VNN3U3oTXcZOdmKDMbX1U23dR9p79Yk13CiW8HC7PUJHzBaEyVF/S6xw8NarKD5iZZHIKbocxS4vm3+quy6SaVc15T85SboczGQUt7ylSuyt5WqYwfSjzx7WBhlpLELxiNqeKC3tvcd9VVWeBpclR54tPpOFiYpSTxC0ajypwmpMlFmAZJfKyKg4VZShK/YIyNFJv7UmkOG8AJbrPUzMxkF629e7MaxfR0MheMsdHhRZiWmuA+qorCmNkybNni4FC1dev69zxyc99AboYys+4ZprnP410O42BhZt1TlB9IMQHeMAeLuvluxSwNi/WuSjEB3jDnLOq0cKTo3N0KuI3aLCUe73IE1yzq5LsVs3bweJcjOFjUqUt3K25uszLV/XlqYrxL6v8zEVH5AzgXuAfYDVzR5/vHADfn3/8csL7omBs3bozWmZyMyNJlhz8mJ5suWbm2b4+YmDj8d5yYyLabjaqpz9P27dn/ppR9rfL9avwdgdlYwnW88kF5klYCXwbOAfYDO4ELIuKunn0uA34sIi6RdD7w8xHx7xc7bisH5aUyu2XVvB6zlakLn6caf8eUZ509A9gdEfdFxEHgJuC8BfucB1yfP/8YcLYk1VC2eiU+nL80XWpus+p14fPUgt+xjt5Qa4F9Pa/3Ay8etE9EPCXpMeBE4OHenSRtBfLuQzwp6R8rKXFd9uyBiy7KHsuzmgXnqkk/Bs8/GlYt3P6diIN3SF+q+O2TOhcNG4tzUdLnKelzUfP/zA8v5Yda1XU2IrYB2wAkzS6lKjWOfC7m+VzM87mY53MxT9KS2u/raIZ6EDi55/VJ+ba++0g6CngG8EgNZTMzsyHUESx2AhsknSJpFXA+sGPBPjuAX8qf/wLwF1F15t3MzIZWeTNUnoO4HLgVWAm8PyLulHQNWReuHcAfATdI2g08ShZQimyrrNDt43Mxz+dins/FPJ+LeUs6F61dz8LMzOrjEdxmZlbIwcLMzAolHywknSvpHkm7JV3R5/vHSLo5//7nJK2vv5T1GOJcvEnSXZLukPRpSZNNlLMOReeiZ7/XSApJY9ltcpjzIOnf5Z+LOyV9uO4y1mWI/491kj4j6R/y/5FNTZSzDpLeL+mhQWPRlPkf+bm6Q9ILCw+6lDlC6nqQJcTvBX6QbMDKF4HTFuxzGXBd/vx84Oamy93guXgZMJE/v7TL5yLf73jgs8DtwFTT5W7oM7EB+Afg+/PXz2q63A2ei23Apfnz04AHmi53hefjpcALgX8c8P1NwJ8CAs4EPld0zNRrFp4qZF7huYiIz0TE3MRTt5ONaRlHw3wuAN4O/C7w7ToLV6NhzsOvAddGxD8DRMRDNZexLsOciwC+L3/+DOCrNZavVhHxWbKepYOcB3woMrcDz5T07MWOmXqw6DdVyNpB+0TEU8DcVCHjZphz0et1ZHcO46jwXOTV6pMj4pN1Fqxmw3wmTgVOlfS3km6XdG5tpavXMOfibcBFkvYDtwD/qZ6iJWnU60m7pvuw4Ui6CJgCfrrpsjRB0grgPcDFDRclBUeRNUWdRVbT/Kyk50fENxotVTMuAD4YEe+W9BKysV2nR8ShpgvWBqnXLDxVyLxhzgWSXg5cBWyOiCdrKlvdis7F8cDpwF9KeoCsTXbHGCa5h/lM7Ad2RMR3IuJ+suUCNtRUvjoNcy5eB3wEICJuA55GNsFgFw11PemVerDwVCHzCs+FpBcAf0AWKMa1bRoKzkVEPBYRqyNifUSsJ8vfbI6Ili2AUmiY/4+Pk9UqkLSarFnqvjoLWZNhzsVe4GwAST9CFiwO1FrKdOwAfjHvFXUm8FhE/NNiP5B0M1RUN1VI6wx5Lt4FHAd8NM/x742IzY0VuiJDnouxN+R5uBX4GUl3Ad8FfiMixq7mPeS5eDPwPklvJEt2XzymN5ZIupHsJmF1nqO5GjgaICKuI8vZbCJbnfQJ4JcLjzmm58rMzEqUejOUmZklwMHCzMwKOViYmVkhBwszMyvkYGFmZoUcLMzMrJCDhZmZFXKwMCtJvlbCOfnzd0j6n02XyawsSY/gNmuZq4FrJD0LeAEwdqPnrbs8gtusRJL+imzKlbMi4vGmy2NWFjdDmZVE0vOBZwMHHShs3DhYmJUgX2VshmwFsn8Z40WGrKMcLMyWSdIE8CfAmyPibrLlXK9utlRm5XLOwszMCrlmYWZmhRwszMyskIOFmZkVcrAwM7NCDhZmZlbIwcLMzAo5WJiZWaH/D3bzN+JjnpzbAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -420,19 +424,17 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The intercept alpha: \n", - " [2.00029746]\n", + " [1.99704773]\n", "Coefficient beta : \n", - " [[4.99810529]]\n", + " [[5.00313011]]\n", "Mean squared error: 0.00\n", "Variance score: 1.00\n", "Mean squared log error: 0.00\n", @@ -441,9 +443,9 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -592,16 +594,14 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBnqllApxGuiVUirEaaBXSqkQ9/8BlT69Hp13BNMAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -611,7 +611,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.004999999999999996\n" + "0.005000000000000002\n" ] } ], @@ -699,9 +699,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", @@ -765,9 +763,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -864,9 +860,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -971,9 +965,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1173,9 +1165,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1250,9 +1240,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1452,9 +1440,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "#!/usr/bin/env python\n", @@ -1594,9 +1580,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# Program to test the Metropolis algorithm with one particle at given temp in one dimension\n", @@ -1654,9 +1638,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1806,7 +1788,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/doc/pub/Linalg/ipynb/Linalg.ipynb b/doc/pub/Linalg/ipynb/Linalg.ipynb index bf046e879..05f670717 100644 --- a/doc/pub/Linalg/ipynb/Linalg.ipynb +++ b/doc/pub/Linalg/ipynb/Linalg.ipynb @@ -176,21 +176,20 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 1.58706198 0.76481088 -0.96520008 0.51539874 -0.47572211 0.25939945\n", - " -0.95294024 -0.57405882 0.50879676 -0.24654269]\n" + "[ 0.01517464 -0.06969135 -1.47791263 2.75319518 -2.53616403 -1.90809834\n", + " 0.96671373 -1.53411652 -0.99243544 -0.1747576 ]\n" ] } ], "source": [ + "\n", "import numpy as np\n", "n = 10\n", "x = np.random.normal(size=n)\n", @@ -208,9 +207,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -236,11 +233,17 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.38629436 1.94591015 2.07944154]\n" + ] + } + ], "source": [ "import numpy as np\n", "x = np.log(np.array([4, 7, 8]))\n", @@ -263,9 +266,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -295,9 +296,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -323,9 +322,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -351,9 +348,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -381,9 +376,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -411,9 +404,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -440,9 +431,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -461,9 +450,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -483,9 +470,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -505,9 +490,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -619,22 +602,20 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, + "execution_count": 2, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.07046813671425667\n", - "4.120226363271705\n", - "0.10838902099535201\n", - "[[0.73156174 2.08870448 1.27336093]\n", - " [2.08870448 6.85239532 3.93668364]\n", - " [1.27336093 3.93668364 4.08030993]]\n", - "[10.2648711 0.08491122 1.31448467]\n" + "-0.10418069983554509\n", + "3.737438131078977\n", + "0.11114595662403691\n", + "[[ 1.23269158 3.63799243 4.59383065]\n", + " [ 3.63799243 11.47500602 13.11825478]\n", + " [ 4.59383065 13.11825478 32.76897923]]\n", + "[39.8627896 0.06329763 5.5505896 ]\n" ] } ], @@ -2088,7 +2069,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.7.0" } }, "nbformat": 4,