Discussion of performance of different orders.
Added description of how over and underdetermined filters perform.
This commit is contained in:
1 parent
597d3e2b5a
commit
88ad62b12f
2 files changed
+792
-67
No files matched your search
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"metadata": {
|
||||
"name": "",
|
||||
"signature": "sha256:97b2f171dee324b433a935a17ca3a82b43169f655f4090827fc6587dbce6f8fe"
|
||||
"signature": "sha256:070b3521e43c9acc2c9fe7593b6fbc1b8894cf90bdcba38da2ba06db8b53984b"
|
||||
},
|
||||
"nbformat": 3,
|
||||
"nbformat_minor": 0,
|
||||
@@ -262,7 +262,7 @@
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 1,
|
||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x7f2c1fcf0208>"
|
||||
"<IPython.core.display.HTML at 0x7f9cc5d8fc50>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -444,7 +444,7 @@
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxIAAAGNCAYAAACFa0d0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e6a5f8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad8f98d0>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -473,9 +473,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAGNCAYAAAB0YBz5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAGNCAYAAAB0YBz5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e59748>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad605b00>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -567,9 +567,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxcAAAGkCAYAAABD4djOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxcAAAGkCAYAAABD4djOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02c45a58>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad2b79e8>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -607,9 +607,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02d79128>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad598e80>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -645,9 +645,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02d5e9b0>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca535a048>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -684,9 +684,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02da3160>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca52a70f0>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -736,9 +736,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGdCAYAAAB+Xb4YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e2d0b8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad5c7ac8>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -789,7 +789,7 @@
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAGaCAYAAACSU9UtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02b50eb8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca52eb748>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -838,9 +838,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGNCAYAAAB9i7yDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGNCAYAAAB9i7yDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4VHW+x/H3mUmZ9EYmPSRAKAlVICIqAgquYsFyZcVV\nkVUUUZDrLisqxQKKsihVXRfsrlfclbvu1RUVFBUpobdAIIH03sskM3PO/WMwboSQAMmcTPJ9PY9P\nknN+Z+aTYGbyPb+maJqmIYQQQgghhBBtxKB3ACGEEEIIIUTnIkWGEEIIIYQQok1JkSGEEEIIIYRo\nU1JkCCGEEEIIIdqUFBlCCCGEEEKINiVFhhBCCCGEEKJNSZEhhBBCCCGEaFNSZAghhNDVli1buOmm\nm4iOjsZgMPDOO++c0WbhwoVERUXh7e3NmDFjOHz4sA5JhRBCtJYUGUIIIXRVU1PDwIEDWb58OV5e\nXiiK0uT8kiVLWLZsGatWrWLnzp2YzWbGjRtHdXW1TomFEEK0RJEdv4UQQnQUfn5+rF69mnvuuQcA\nTdOIjIxk5syZzJ07FwCLxYLZbGbp0qVMmzZNz7hCCCGaIT0ZQgghOqyMjAwKCgoYP3584zGTycSo\nUaPYunWrjsmEEEKci5uznqiiosJZTyWEEF1OQECA3hHaRX5+PgBhYWFNjpvNZnJzc5sck/cZIYRo\nP+f7PiM9GUIIIVzSr+duCCGE6DikyBBCCNFhhYeHA1BQUNDkeEFBQeM5IYQQHY/Thkv9J1fo1k9J\nSWHYsGF6x2gVV8nqKjlBsrYXV8nqKjm7wvCg+Ph4wsPD2bhxI0OHDgUcE79/+OEHli5d2ux18j7T\ntlwlq6vkBMnaXlwlq6vkvJj3GV2KDCGEEOJnNTU1pKWlAaCqKqdOnWLv3r2EhIQQExPDY489xuLF\ni+nbty8JCQk8//zz+Pn5MXnyZJ2TCyGEaI4UGUIIIXS1c+dOxo4dCzjmWSxYsIAFCxYwZcoU1q1b\nx5w5c6irq2PGjBmUlZUxYsQINm7ciI+Pj87JhRBCNEeKDCGEELoaPXo0qqqes83PhYcQQgjXIBO/\nhRBCCCGEEG1KigwhhBBCCCFEm5IiQwghhBBCCNGmOuScDFVVaWho0DVD9+7dsVgsumZorfbI6uHh\ngcEgNagQQgghhDh/Ha7IUFWV+vp6TCaTrru5mkwm3Z77fLV1Vk3TsFgseHp6SqEhhBBCCCHOW4f7\nC7KhoUH3AqOrUxQFk8mke2+SEEIIIYRwTR2uyACkwOgA5N9ACCGEEEJcqA5ZZAghhBBCCCFclxQZ\nQgghhBBCiDYlRYYQQgghhBCiTUmRIYQQQgghhGhTUmQIIYQQQggh2pQUGUIIIYQQbUxVVTIPpVJX\nVaN3FCF00eE24xNCCCGEcFWqqrL7w78R8s3HxJZlcjysL71WvYfRXf7kEl2L9GQ4icFgaPa/zMxM\nveMJIYQQog3s+/SfDPlkKbFljvf2XgWp7H5rXZM2+RmnKD16XI94QjiNlNVO8v777zf5WtM0nnrq\nKYqLi/H19dUplRBCCCHa1PZNAOy67A48+/an/1vz6fflOvKvHk94zziqysoxPHkfY+rKyR46lOi+\nCToHFqJ9uHSRMeS9tHZ9/D13t90v/uTJk5t8vXjxYjIzM3nvvfcIDg5us+cRQgghhD7sVhtxJ/cA\nEHXrHUQl9GT31m8YdPQ7sl9+Et8XX+Po8pcYUlcGQP62rVJkiE5Lhkvp4IsvvmD+/PnMnDmTu+66\nS+84QgghhGgDGbv34d9QTb5vGFEJPQGIn/0kpaZAEvKPUDbzTobs/aKxvSF1j15RhWh3Lt2T0ZY9\nDc6SlpbG5MmTufLKK1m2bJnecYQQQgjRRkq3fU88kJswnKjTx4LCzeQteoucZ2YQVZkLwP7eVzDw\n2A9EZB7SLasQ7U16MpyourqaiRMn4u/vz8cff4zBID9+IYQQorMIOLwdAM/hlzc5HtEzDv9l73Kw\nxwgOxSWT+MxLVLr7YK4tJv+kLP4iOieX7slwJZqmcc8995CRkcGWLVsIDQ3VO5IQQggh2khlSRnx\nBUexKUZ6XnH5GecDu4UQuOy1xq8PhvVmcPYecnfsIDwu1plRhXAKuZXuJIsWLWLDhg2sXr2aYcOG\n6R1HCCGEEG0o7d9fYETjREQ/fPz9WmxfGuUY8m0/fGHzMuxWG+XFJRd0rRDOID0ZTnDw4EEWLFhA\nYmIiHh4eZyxne+utt+Lt7a1TOiGEEEJcqAaLhb0rXmHI1vUA1FwyunUXxveC7RB68gAVJaWc+GYT\nttxM3Apz8C7Jxb+mlNzxv2PYPXefcWlNZRVZcx6ie+ExMub9lfghg9rwOxKibUiR4QQlJSVomsaR\nI0e4++6mLxaKojBq1ChiY6WrVIjOZmtuDf2CTQSZjHpHEUK0k/0vPsvQvV9gR2HXqN9xyb33tOo6\n/7gY6o3uxJRnUTftegbZ689oY//6b/CrIqOuqobMP02nd/5hACrfew2GvH7x34gQbUyKDCe46qqr\nUFVV7xhCCCf6R1oFi7YXkhRi4s3xUXgaZXSqEJ1NzrHjDNj3JTbFwMnHV5F8xWWtvtbo5sbJ8H70\nydmPl72eI9GDqY1PxBgRjXdUNJGrniCyMo+CU1mEdY9pvC71uScYmHeIYq9g/Bqq6J++nYy9B4kf\n3L89vkUhLliL73o2m40nn3ySHj164OXlRY8ePZg3bx52u71Ju4ULFxIVFYW3tzdjxozh8OHD7RZa\nCCE6Kk3TeGN/Cc9tK0TV4LJIbzwMit6xhBDtIP/t13HTVA4MGEef8ygwfub94Bx2jb6brGffp/+q\nt0h+/I8MnXwn/a66kpMxAwDI/vHHxvZ1VTUkpm3FjkLD/Nc4dMkNAJR/8EbbfENCtKEWi4zFixfz\nxhtvsHLlSo4ePcry5ctZs2YNL7zwQmObJUuWsGzZMlatWsXOnTsxm82MGzeO6urqdg0vhBAdiV3V\nWLyjiNf3lWJQ4KlLzUwfFIKiSJEhRGeTnZrGgMObsClGou+bfkGPETcwieTH/pu4gUlnnGtISgZA\nObCj8dipvXtx01SyQuKI6deb+Hvvp8HgRv+0H8k8lHph34gQ7aTFImPnzp3cdNNNTJgwgdjYWG68\n8UZuuOEGtm93rAWtaRqvvvoqc+fO5ZZbbiEpKYl33nmHqqoqPvzww3b/BoQQoqN4cWcRnxyrwNOo\nsHRUBLf3DtA7khCiHVSVlVO54jmMaBwYNJ7w+O5t/hxhI0YCEJOxp3HIdeU+x0pUpd0dQ6O6RUdy\naMA4DGjkf/G/bZ5BiIvRYpFx3XXXsWnTJo4ePQrA4cOH2bx5MxMmTAAgIyODgoICxo8f33iNyWRi\n1KhRbN26tZ1iCyFEx5Je0cA/0ipwM8Br10QxJtZX70hCiHZw6sBhymdOpk/uASo9fImd+nC7PE90\nv96UeAURbCkn+4jjbzDT8QMAuPX7ZTUp76uuBcB8UP7mEh1Li0XGww8/zF133UW/fv3w8PCgf//+\nTJkyhYceegiA/Px8AMLCwppcZzabG88JIURn95f9JagaTOwVwBCzl95xhBDtwG63475kNpFVeZwM\nicfywnuYY6Pb5bkMBgPZ8UMAKPhpK6qqEpPrmO8accnQxnYJIy+j2t2bmPJMco+nt0sWIS5Ei6tL\nrVixgrfeeouPPvqIpKQk9uzZw6xZs4iLi2Pq1KnnvLa5ccgpKSnNXtO9e3dMJlNLsYQTVFVVcfDg\nwTZ9zHP923c0krV9uErW88mZU29g40lf3BQYrmaRkpLZjsl+kZCQ4JTnEUI4nNp3kO7VhRR7BxO5\n4j28fHza9wkHJMPhTXge3EbusVFENFRTagrEHP/LsvfuJg/Sewxj4NEt5Gz+hshePdo3kxCt1GKR\nsWjRIp5++mnuuOMOAJKSkjh16hQvvPACU6dOJTw8HICCggKio3+p5gsKChrP/dq5dry2WCzn9Q2I\n9uPn59emu5OnpKS4zG7nkrV9uErW88350Xd5aFRzW+8Axif3bjyu/utvKD37ofQb3B4xqaioaJfH\nFUKcXfEP39EdyOp9KcPau8AAYkaNwvrxyySdTGHve38hAsiJTiLU8KuBKMNHwdEt+Oz9AXjgvJ/H\nZrWSdfAwsQP7YzTKvj6ibbQ4XErTNAy/+p/ZYDCgaRoA8fHxhIeHs3HjxsbzFouFH374gZEjR7Zx\nXCGE6Fi+zarmm8xqTEaFqf2DG49rqfvQ1i1FffoBtKI8HRMKIdpKwOl5Dx7Dr3TK84VGRbB/9O8A\nGHzoawCsvQee0a7nmLHYFCM9cw+yc+06Dj0yhYP//qrVz7Pn7beJfWYKe/9nfdsEF4JWFBkTJ07k\nxRdf5PPPP+fkyZN8+umnvPLKK9xyyy2AY0jUY489xpIlS/j00085ePAgU6ZMwc/Pj8mTJ7f7NyCE\nEHopr7ezaHshAI8OCcHs7egc1upqUV+dB6qKctPvUEIj9IwphGgD5YUl9Cg8RoPBjV5XOqfIABjy\n4MOcCo5r/Dpw4JAz2viHBHE8Mgk3TeWSz1bSN3sf7v9Y2+rnUDKPA2DPPHHReYX4WYvDpV555RX8\n/f2ZMWMGBQUFREREMG3aNObPn9/YZs6cOdTV1TFjxgzKysoYMWIEGzduxMcJXYlCCKGHUouN534q\npLjOzhCzid/2DWw8p637M+RnQVxvlMkXtn6+EKJjSf92M4PQOBE1gP7+zls9zt3kgTZjAbbnf4/F\nzUT3wQPO2q7+qhvhw/1kBcYQUZFLXFEa1eUV+Aa2vJS2Z2UJAG6VpW2aXXRtLRYZPj4+LF26lKVL\nl56z3YIFC1iwYEGbBRNCiI7Ipmq8uquYT9IqqLdrmIwKCy8Lw3B6oQttx3doX/0D3NwxzFLine truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02c55208>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad3a7c18>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -931,9 +931,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xt41PWd//3XHDOZHEnIJIQAgqBAWqgYrUWXYlUq1pWy\nPXhr+6te9fq12/rzKrV70drDxt6LtFprgWrvu9tdK2trbbtrD7b13qxKPRQPhIqKNIiAnEKGEHLO\nTDKH7/3HzHeSCTmTzHcy83xcV68rnROffInDvPJ+f94fm2EYhgAAAAAgA9itXgAAAAAATBYCDgAA\nAICMQcABAAAAkDEIOAAAAAAyBgEHAAAAQMYg4AAAAADIGAQcAAAAABnDsoDz/PPP64YbblBVVZXs\ndru2b9+edH9HR4e++MUvas6cOfJ6vVq8eLG2bNmS9Jje3l7dcccdKisrU35+vtatW6cTJ06k8tsA\nAAAAkEYsCzjd3d1atmyZtm7dqtzcXNlstqT7N2zYoP/+7//Wz372MzU0NOgb3/iGvva1r+lnP/tZ\n0mOeeOIJPf7443rhhRfU0dGh66+/XtFoNNXfDgAAAIA0YDMMw7B6EQUFBXrooYf0mc98JnHbe9/7\nXn384x9XbW1t4rbVq1dr2bJl2rZtm9rb2+Xz+fTII4/opptukiQdP35c8+bN01NPPaU1a9ak/PsA\nAAAAYK203YOzdu1a/f73v9fx48clSTt37tSePXt07bXXSpJ2796tUCiUFGSqqqq0ZMkS7dy505I1\nAwAAALCW0+oFDOfee+/VZz7zGc2dO1dOZ2yZDz74oK677jpJUlNTkxwOh0pLS5OeV15eLr/fn3Rb\ne3t7ahYNAAAAYFIVFRWN6/FpG3D+6Z/+Sa+88oqefPJJzZs3T88995y+8pWvaN68efrwhz9s9fIA\nAAAApKG0DDjd3d3aunWrfvOb3+gjH/mIJOk973mP9uzZo/vvv18f/vCHVVFRoUgkopaWlqQqTlNT\nk1atWmXV0gEAAABYKC0DjmEYMgxDdnvyFiG73S5zJsLFF18sl8ulurq6pCEDDQ0NWrly5bCvPd4S\nF85NfX29ampqrF5G1uG6W4Prbg2uuzW47tbguluD655657LFxLKA093drQMHDkiSotGojhw5oj17\n9qi0tFRz5szRVVddpa997WvKz8/X3Llz9dxzz+nRRx/V9773PUmxoHLbbbdp48aN8vl8Kikp0Z13\n3qnly5fr6quvturbAgAAAGAhy6ao7dq1SytWrNCKFSsUDAZVW1urFStWJMZC//znP9f73/9+ffrT\nn1Z1dbXuu+8+bdq0SbfffnviNbZs2aL169frxhtv1BVXXKHCwkI9+eSTZ52pAwAAACA7WFbBWb16\n9YgHcpaVlenf/u3fRnwNt9utbdu2adu2bZO9PAAAAADTUNqegwMAAAAA40XAAQAAAJAxCDgAAAAA\nMgYBBwAAAEDGIOAAAAAAyBgEHAAAAAAZg4ADAAAAIGMQcAAAAABkDAIOAAAAgIxBwAEAAACQMQg4\nAAAAADIGAQcAAABAxiDgAAAAAMgYBBwAAAAAGYOAAwAAACBjEHAAAAAAZAwCDgAAAICMQcABAAAA\nkDEIOAAAAAAyBgEHAAAAQMYg4AAAAADIGAQcAAAAABmDgAMAAAAgYxBwAAAAAGQMAg4AAACAjEHA\nAQAAAJAxCDgAAAAAMgYBBwAAAEDGcFq9AADA1GgJhPW//+eECt12ffi8Aq2Zl6/SXN72AQCZzbIK\nzvPPP68bbrhBVVVVstvt2r59+1mPefvtt/UP//APmjFjhvLy8nTxxReroaEhcX9vb6/uuOMOlZWV\nKT8/X+vWrdOJEydS+W0AQNr6S2OPDrf36fXmoO7b1aw1/3VY//g/x/X7gx2KRA2rlwcAwJSwLOB0\nd3dr2bJl2rp1q3Jzc2Wz2ZLuP3z4sC6//HKdf/752rFjh9566y3dc889ys/PTzxmw4YNeuKJJ/T4\n44/rhRdeUEdHh66//npFo9FUfzsAkHYOtfVJklZV5WlVVZ7sNumVpoBqd/r1x8OdFq8OAICpYVmv\nwtq1a7V27VpJ0q233nrW/d/4xjd07bXX6nvf+17itvPOOy/xdXt7ux5++GE98sgjuuqqqyRJjz76\nqObNm6enn35aa9asmdL1A0C6O9TeK0m6fkGBrplXoI7eiB7YfVq/O9iht1t7LV4dAABTIy2HDESj\nUf3hD3/QkiVLdO2118rn8+nSSy/Vr371q8Rjdu/erVAolBRkqqqqtGTJEu3cudOKZQPAhISjhtp6\nIzreGdLfWoKqb+rRmUD4nF/3YLyCs6DILUkqzHHoitleSdKxjtA5vz4AAOkoLXebnjp1Sl1dXdq8\nebM2bdqk++67T88884w+9alPKT8/X9ddd52amprkcDhUWlqa9Nzy8nL5/X6LVg4A4/PQnhb9+5tn\nNHhHzJwCl363bt5Z7btjFQhF1dgdltMuzS10D3jd2NfHOvsmumQAANJaWgYccw/NRz/6UW3YsEGS\ntGzZMtXX1+vBBx/UddddN+HXrq+vn5Q1Yuy45tbgultjPNfdMKRfv1MgQ3Z57YZyHYZy7Yaa+uw6\n1hlS3ct/ValrYsMA3g04JOXL54ro9b/uTtzeG5WkIh3r7NOru+pln1h+Sjv8vFuD624Nrrs1uO6p\ntWjRogk/Ny0DzsyZM+V0OrV06dKk2xcvXqxf/vKXkqSKigpFIhG1tLQkVXGampq0atWqYV+7pqZm\nahaNIdXX13PNLcB1t8Z4r/vJ7pDaG95VoduuP39yQaJac/szJ7SzsUf2ygtUM69gQms5ebBDetev\n6ooi1dQsTrpv5tFDOh2IqGrJclXmuyb0+umEn3drcN2twXW3Btc99drb2yf83LTcg+N2u3XJJZck\njYSWYmOjzUEDF198sVwul+rq6hL3Hz9+XA0NDVq5cmUqlwsAE/JGc1CS9N6ZnqRWtOpSjyTprdMT\nHwRwqD3WgnZ+kfus++bG29SOdtCmBgDIPJZVcLq7u3XgwAFJsZa0I0eOaM+ePSotLdWcOXO0ceNG\nffKTn9Tf/d3f6corr9SOHTv0y1/+Ur/73e8kSUVFRbrtttu0ceNG+Xw+lZSU6M4779Ty5ct19dVX\nW/VtAcCYmQFnWZkn6fb3zMyRJO1tCU74tc0R0QuKzw44cwpc+uupgI52hnTZhP8EAADSk2UVnF27\ndmnFihVasWKFgsGgamtrtWLFCtXW1kqS1q1bp3/913/V/fffr2XLlumhhx7So48+mhgtLUlbtmzR\n+vXrdeONN+qKK65QYWGhnnzyyQlvygWAVHrzdDzgzEwOOGYFZ19LcMIHch6Mj4heMFQFpzDWlna0\nk0lqAIDMY1kFZ/Xq1aMeyHnLLbfolltuGfZ+t9utbdu2adu2bZO9PACYUr2RqP52JiibpPcMCjil\nuU7NynPqZHdYh9v7tHBGzrheOxCKqrErLKetvx1toLkFsYDDqGgAQCZKyz04AJDpGs70KhyVzi92\nK9/tOOt+M/S8NYE2tcMdfTIUGw/tcpxd0WZUNAAgkxFwAMACAwcMDOU98Ta1vS3jHzRgDhgYqj1N\n6q/gHO8KT7gFDgCAdEXAAQALJPbflA0dcKrNCs7p8VdwDsYHDJw/xIABScp12TUz16FQ1JC/Jzzu\n1wcAIJ0RcADAAqNVcJaU5Mhukw609ioYHnm/4mCjVXAkRkUDADIXAQcAUszfHZK/J6x8l13zhwkh\nXpddC4rcChvS/tbxtakdGqWCI8VGRUtMUgMAZB4CDgCk2Bun+6s39hHG2vcf+Dn2NrVAOKoTXaFh\nJ6iZGBUNAMhUBBwASLHR9t+YzElqe0+PvYLzbntsgtqcYSaomRKjogk4AIAMQ8ABgBQbbf+N6T0z\nY+ffjGdU9Fj230gDRkWzBwcAkGEIOACQQqGIob/FRz+PFnDOL85RjsOmo50htfdGxvT6o01QMzEq\nGgCQqQg4AJBC+1t71Rc1NL/QpcKcsw/4HMhlt2lxSayKs2+MVZyxVnAYFQ0AyFQEHABIIbM9bVlZ\n7pgenzjwc4z7cMyAc/4oAUdiVDQAIDMRcAAghd44HZA0enuayTzwc+8YKjiBcFTHO0Ny2KR5haMH\nHEZFAwAyEQEHAFLozeaxTVAzVZfGBw2cDsow+vfKNPeEtbOxW9EBtx3piE1Qm1vgGnGCmolR0QCA\nTOS0egEAkIkMw9DP/9am9r6oFpfkaPGMHLkdNjV2h5UXP8RzLOYUuFTotqslGFFTT1g5dpsefqtV\n//l2u3ojhi6v9OqeKypUlONIDBhYUJwzptdmVDQAIBMRcABgCuxv7dX3d59Oui0nXlWpLs2Rwz56\nhUWSbDab3jPTo52NPbrn5VPa7Q8oGIlVbXKdNv2lsUc3//Govr961pgHDJgYFQ0AyEQEHACYAvvi\no6AXFLlVkedUw5lenQnGRj2vrMwb12tVl8YCzl8aeyRJq6ry9IXlJSrKceifnjupfS29uuWp45qZ\nG5vKNtqIaNPgUdFjDV0AAKQzAg4ATIG3W2MB54bzC3VL9QwZhqHmQESnesK6sGRsLWSmNfPy9eu3\n27WkJEdfWF6q9w7Yv/Pwh6v0vV3N+q8DHWrsjo17HmsFxxwVfToQkb8nrMp817jWBQBAOiLgAMAU\naDgTCzhmmLHZbPJ5nfJ5x/+2u3BGjnZ8csGQ9+U47PrmZeV670yPNr/SLI/TpnmFYw8qcwvcOh0I\n6GhHHwEHAJARCDgAMMkiUSNRwblwxviqNRO1bmGRLp3lVTQquR1jH5A5p8Clv54K6GhnSJdN4foA\nAEgVAg4ATLLjXSEFwobKvU7N8DhS9ufOyht/BYZR0QCATMM5OAAwyRLtaSmq3pwLRkUDADLine truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02be97b8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad58c5f8>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -998,9 +998,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGdCAYAAADNFZYCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGdCAYAAADNFZYCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfaf266a0>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad325a90>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1102,9 +1102,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfaebdcc0>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca52991d0>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1130,17 +1130,17 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfb18b6d8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca5208b70>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XlYVPX+B/D3OQMzAwioCIKSLIprmQsqWipqel1a1BbL\nyjVNs8zqprkkmopL/Fxar9esSPO2p6bV5Za2mFmSlluaJuKOyL7MADPn+/sDZmAEFBQ4zJz363l8\nkDPnzLwZl5nPfL6LJIQQICIiIiIicgKy2gGIiIiIiIiqigUMERERERE5DRYwRERERETkNFjAEBER\nERGR02ABQ0REREREToMFDBEREREROQ0WMER14N1334Usy4iPj6/WdbIso1+/frWUioiI6rPo6GjI\nct2+VQsNDUVYWFidPiZRdbGAIaoDkiTZf5Uly/I1XyiuvIaIiLSjrl8DKnqtWrBgwXV9CEdUW9zU\nDkCkBSNGjEDPnj0RGBhY7rarvTgdPXoUnp6etRmNiIjIbseOHZXexg/UqL5gAUNUB3x8fODj41Pt\n61q3bl0LaYiIiCp2tVEBQog6TEJUOQ4hI5d16tQp+xySc+fO4eGHH4a/vz88PT3RrVs3fPTRR+Wu\nEULgrbfeQlRUFLy9veHl5YUuXbpg5cqVsFgs5c4/cOAARo8ejbCwMHh4eMDf3x+33norpk2bhuzs\nbPt5V86B+e677+zjmm05bb/Gjx9vv66yOTA5OTmYN28e2rZtCw8PDzRq1AgDBgzA1q1br/o8pKWl\nYfLkyQgKCoLRaMTNN9+Md999t9rPLRGR1u3ZsweyLOPuu++u9JzIyEjodDokJyfbj+3cuRN33303\n/P39YTAYEBoaimnTpiElJaXKj13d1yoAOHfuHGbMmIHWrVvD09MTjRs3RmRkJGJiYhyuuXIOTHR0\nNF566SUAwPjx4x1er5KTkzF79mzIsoz33nuvwsc9evQoZFlG7969q/zzEV0LOzDk8jIyMnD77bej\ncePGeOyxx5Ceno6PPvoIDz74IM6fP48ZM2bYzx07diw2btyI4OBgTJw4Ee7u7ti6dSv++c9/IiEh\nAdu3b4dOpwNQXLz06NEDOp0Od955J1q2bInc3FycPHkS8fHxeO6558p1XWzt97CwMMTExGDhwoXw\n9fXFM888Yz+nU6dOFV5jk5WVhdtvvx2HDx9Gly5dMGPGDGRkZODjjz/G8OHDsXDhQrz44ovlnofM\nzEzcdtttMBgMeOCBB1BQUICPPvoIEyZMgCzLGDNmzI090UREGhIVFYW2bdvi66+/RmpqKvz9/R1u\nP3z4MPbt24fo6GiEhIQAAJYvX47Zs2fDz88Pw4YNQ2BgIP744w+8+eab2Lp1K/bs2YPmzZtf87Gr\n81oFAImJiRg8eDDS09PRp08fjBw5EmazGX/++SeWLVtW7vWq7OvO+PHjIUkSvv/+ewwfPtzhNaph\nw4aYOnUqXn75Zaxdu7bC15G1a9cCAKZOnVrFZ5aoCgSRi0pKShKSJAlJksSDDz7ocNvff/8tGjZs\nKAwGg0hOThZCCPHBBx8ISZJEp06dRE5Ojv3cwsJCMWDAACFJkoiLi7Mff/bZZ4UkSWLLli3lHjs3\nN1cUFBTYv3/nnXeEJEkiPj7e4TxJkkRYWFilP4MkSaJfv34Ox6ZMmSIkSRITJ050OH727FkRFBQk\nZFkWe/furfB5mDRpklAUxX7bkSNHhJubm2jfvn2lGYiIqGLLly8XkiSJVatWlbvt+eefd/h///vv\nvxeSJIlevXqJrKwsh3M3bNggJEkS9957r8Pxvn37ClmWHY5V97WqoKBAhIaGClmWxYYNG8rlTElJ\nERaLxf59SEhIudelmJiYCl/DbO666y4hSZI4cOCAw3GTySQaNWok/P39RWFhYYXXEl0PDiEjl+fm\n5oZly5Y5HAsPD8cTTzyBwsJCbNy4EQDw1ltvAQCWLl2KBg0a2M91d3fHqlWrAADr1q0rd/9Go7Hc\nMS8vL+j1+hr7GWyKiorw3nvvwcvLCytWrHC4rXnz5pgzZ459aEFFmVauXOnwyVq7du3Qq1cvHD16\nFPn5+TWel4jIlT366KPQ6XTlVueyWq3YuHEjGjRogPvuuw8AsGbNGgDFHYkru/OPPPIIOnXqhC1b\ntiA3N/eqj1nd16ovvvgCycnJGDp0KB555JFy9xcQEODQrbkeTzzxBIDSbovNRx99hMzMTIwbNw7u\n7u439BhEZXEIGbm8Fi1a2Nv3ZfXp0wdLly7F77//DgDYt28fJEmqcM7JLbfcAn9/fxw/fhz5+fnw\n9PTEgw8+iFdeeQXDhw/Hvffei/79+6Nnz55o27Ztrf0sR48ehclkQlRUFBo3blzu9jvuuAMAsH//\n/nK3RUREOLzY2dx0000QQiAjI4MrnhERVUNQUBAGDhyIr7/+Gn/88QduvfVWAEBCQgIuXryIcePG\n2f9f/emnn+Dm5oZPP/0Un3zySbn7KigogNVqxV9//YUuXbpU+pjVfa3as2cPAGDIkCE18SNXaPDg\nwQgPD8fGjRuxYsUK+8+8du1ayLKMxx9/vNYem7SJBQy5vKZNm171eFZWlv2rr68vDAZDhecHBQXh\n8uXLyMrKsi8EsGvXLsTGxuLzzz/H+++/D6B4AuSsWbNq5T9sW9aKlmMuezwzM7PcbQ0bNqzwGje3\n4v8GrFZrTUQkItKU8ePH4+uvv0Z8fDxWrlwJAPaOzLhx4+znpaWlwWq1YuHChZXelyRJyMvLu+rj\nVfe1yvZ6UJW5NTdiypQpmDlzJv7zn/9g4sSJOHjwIH7++WfccccdaNmyZa0+NmkPh5CRy6tsZRfb\ncV9fX/vXrKwsFBQUVHj+hQsXHM4HgB49emDLli3IzMzEnj17sGjRIphMJkydOhUbNmyoyR/D4bEv\nXrxY5YxERFR77rnnHjRq1AibNm2CoijIzMzEli1bEB4ejj59+tjP8/X1hY+PDxRFqfSX1Wq95mpd\n1X2tsn14dfbs2Zr4cSs1YcIEGI1G+zAy29cpU6bU6uOSNrGAIZd3+vRphyUsbb7//nsAQOfOnQEA\nXbt2hRACO3fuLHfuoUOHkJqaal9+8kpubm7o3r075s6da19KcvPmzdfMJklStTof7dq1g4eHBw4e\nPIi0tLRyt3/77bf2n4WIiGqfXq/Hgw8+iEuXLmH79u348MMPUVBQUG5Frl69eiE7OxsHDhy4ocer\n7mtVz549AQBfffXVdT+mbY7M1V6vGjdujFGjRiExMRG7du3Cxo0bERQUhOHDh1/34xJVhgUMuTyL\nxYJZs2Y5bMD1999/44033oBer8fDDz8MAJg4cSIAYM6cOQ4t/KKiIjz77LMAgMcee8x+fPfu3TCb\nzeUez/bpV1Xmk/j5+SE1NbXC+6mIm5sbxowZg7y8PMyePdvhtvPnz2Pp0qWQZRkTJkyo0v0REdGN\ns+3fFR8fj/j4eMiyjLFjxzqcY3sdmTx5Ms6dO1fuPsxmM3bt2nXNx6rua9Vdd92F0NBQfPnll/ZF\na8pKSUm55gdpfn5+AFDhh4Fl2SbzP/TQQ8jOzsbEiRPte54R1STOgSGX17FjR/zyyy+IjIzEwIED\n7fvA5OTkYOXKlWjRogUAYNSoUfjiiy+wadMmtG/fHsOHD4e7uzu++OILHD9+HHfccYfDfi0rVqzA\njh070Lt3b4SGhsLHxwd//fUXtm3bBk9PT4f9ZSozaNAgbNq0CYMHD0bv3r1hMBjQqVMn3HnnnZVe\ns2zZMvz444946623sH//fgwYMACZmZn4+OOPkZmZifnz56Nbt243/sQREVGVREZGokOHDti6dSss\nFovD3i820dHRePnllzFr1ixERERg6NChCAsLg8lkwunTp/HDDz8gPDwc+/btc7iu7IdvQPVfq9zd\n3fHxxx/jH//4B8aMGYO33noLPXr0QGFhIY4dO4Zvv/0Wqamp5VZGK2vAgAGQZRmrV69GWlqafQ7p\n9OnTHa7r1q0bunbtit9++w06nQ6TJ0++7ueU6KrUXMOZqDbZ9j/p16+fOHfunHj44YeFv7+/8PDw\nEJGRkeLDDz8sd42iKGLt2rWie/fuwsvLS3h4eIhOnTqJuLg4UVRU5HBuQkKCmDBhgujQoYNo2LCh\n8PT0FK1btxaTJ08Wx44dczj33XffFbIsl1tDPzU1VYwZM0YEBQUJnU4nZFkW48ePt99e0T4wQgiR\nlZUl5syZI9q0aSMMBoPw9fUV/fr1E59//vlVn4eKjBs3TsiybN8Ph8iVxMbGisjISOHj4yP8/f3F\nXXfdJQ4dOlTuvJiYGNGsWTPh4eEhoqOjxeHDh1VIS84sLi5OSJJU4f/1Ze3Zs0c89NBDIjg4WOj1\netGkSRPRsWNH8eSTT4off/zR4dzo6Ohy+8AIUb3XKpszZ86IJ598UoSHhwuDwSD8/PxEt27dxMKF\nCx2uCQ0NrXB/sv/85z+ia9euwtPT0/5zVvS68frrrwtJksRdd91V6XNAdKMkIa4o7YlcxKlTpxAe\nHo7o6Gjs2LFD7ThEpILBgwfjoYceQrdu3aAoCubPn4+ff/4ZR44cQaNGjQAU746+ZMkSxMfHo3Xr\n1njppZewa9cuHDt2rMKlx4mocpMmTcL69euxbds2DB06VO045KJYwJDLYgFDRFfKy8uDr68vtmzZ\ngmHDhkEIgWbNmmH69On2eWVmsxkBAQGIi4vjEBiiajh37hxatWqF4OBgHD9+XO045MI4s4qIiDQj\nOzsbiqLYuy9JSUlISUnBoEGD7OcYjUb06dMHu3fvVismkVPZtGkTFi5ciDvuuAOFhYV46aWX1I5E\nLs4lJvHbNvcjKis7OxtA8Spk/DtCdP1caV+hp59+Gp07d7YvLWvbU+nKDW8DAgJw/vx5+/Line truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfb18b4e0>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca5208ba8>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1166,17 +1166,17 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e07dd8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad384f28>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4VNXWBvD3nKnpJCEhoSQhEERQRAhVaSJeL5aL2FGR\nogiCihWpEVSKclEUC594FUXECoqVewVFRBAEBcTQeyCE9DZ9f39MZjKTTEhCMjlT3t/z8EDOnJmz\nMmGyZ83aa29JCCFARERERETkB2SlAyAiIiIiIqorJjBEREREROQ3mMAQEREREZHfYAJDRERERER+\ngwkMERERERH5DSYwRERERETkN5jAEDWBd999F7IsY/ny5fW6nyzLGDRokJeiIiIiXzZw4EDIctO+\nVUtJSUHbtm2b9JpE9cUEhqgJSJLk/ONKluVaB4qq9yEiouDR1GOAp7HqmWeeuaAP4Yi8Ra10AETB\n4KabbkKfPn2QkJBQ7bbzDU6ZmZkIDQ31ZmhERERO69evr/E2fqBGvoIJDFETiIyMRGRkZL3v16FD\nBy9EQ0RE5Nn5ZgUIIZowEqKacQoZBayjR486e0hOnTqFu+66C3FxcQgNDUWPHj3w8ccfV7uPEALL\nli1D7969ERERgbCwMHTr1g2LFi2CxWKpdv6uXbswYsQItG3bFiEhIYiLi8Nll12GiRMnoqioyHle\n1R6YH3/80Tmv2RGn48/o0aOd96upB6a4uBgzZsxAx44dERISgujoaAwePBhffvnleZ+H3NxcjBs3\nDomJidDr9bjkkkvw7rvv1vu5JSIKdlu2bIEsy7jxxhtrPCc9PR0qlQrHjh1zHtuwYQNuvPFGxMXF\nQafTISUlBRMnTkR2dnadr13fsQoATp06hcmTJ6NDhw4IDQ1FTEwM0tPTkZGR4Xafqj0wAwcOxJw5\ncwAAo0ePdhuvjh07hqlTp0KWZbz33nser5uZmQlZltGvX786f39EtWEFhgJefn4+rrzySsTExOC+\n++5DXl4ePv74Y9xxxx3IysrC5MmTnefee++9WLFiBVq3bo2xY8dCo9Hgyy+/xBNPPIF169bh66+/\nhkqlAmBPXnr16gWVSoXrr78e7dq1Q0lJCQ4fPozly5fj8ccfr1Z1cZTf27Zti4yMDMyePRtRUVF4\n9NFHned07drV430cCgsLceWVV+Kvv/5Ct27dMHnyZOTn5+OTTz7BsGHDMHv2bMycObPa81BQUIAr\nrrgCOp0Ot912G4xGIz7++GOMGTMGsixj5MiRDXuiiYiCSO/evdGxY0d89913yMnJQVxcnNvtf/31\nF3bs2IGBAwciOTkZALBgwQJMnToVsbGxuO6665CQkIA///wTb7zxBr788kts2bIFrVq1qvXa9Rmr\nAGD79u249tprkZeXh/79+2P48OEwGAz4+++/MX/+/Grjleu4M3r0aEiShJ9++gnDhg1zG6OaNWuG\nCRMm4MUXX8TSpUs9jiNLly4FAEyYMKGOzyxRHQiiAHXkyBEhSZKQJEnccccdbrcdOnRINGvWTOh0\nOnHs2DEhhBCrVq0SkiSJrl27iuLiYue5JpNJDB48WEiSJBYuXOg8/thjjwlJksQXX3xR7dolJSXC\naDQ6v37nnXeEJEli+fLlbudJkiTatm1b4/cgSZIYNGiQ27Hx48cLSZLE2LFj3Y6fPHlSJCYmClmW\nxbZt2zw+D/fff7+w2WzO2/bu3SvUarXo1KlTjTEQEZFnCxYsEJIkiZdeeqnabU8++aTb7/2ffvpJ\nSJIk+vbtKwoLC93Off/994UkSeLmm292Oz5gwAAhy7LbsfqOVUajUaSkpAhZlsX7779fLc7s7Gxh\nsVicXycnJ1cblzIyMjyOYQ433HCDkCRJ7Nq1y+14eXm5iI6OFnFxccJkMnm8L9GF4BQyCnhqtRrz\n5893O5aamooHH3wQJpMJK1asAAAsW7YMADBv3jyEh4c7z9VoNHjppZcAAG+99Va1x9fr9dWOhYWF\nQavVNtr34GA2m/Hee+8hLCwML7zwgtttrVq1wrRp05xTCzzFtGjRIrdP1i6++GL07dsXmZmZKCsr\na/R4iYgC2T333AOVSlVtdS6r1YoVK1YgPDwct9xyCwBg8eLFAOwViarV+bvvvhtdu3bFF198gZKS\nkvNes75j1dq1a3Hs2DEMHToUd999d7XHi4+Pd6vWXIgHH3wQQGW1xeHjjz9GQUEBRo0aBY1G06Br\nELniFDIKeElJSc7yvav+/ftj3rx5+OOPPwAAO3bsgCRJHntOLr30UsTFxeHAgQMoKytDaGgo7rjj\nDrzyyisYNmwYbr75Zlx11VXo06cPOnbs6LXvJTMzE+Xl5ejduzdiYmKq3X711VcDAHbu3FnttrS0\nNLfBzqFNmzYQQiA/P58rnhER1UNiYiKGDBmC7777Dn/++Scuu+wyAMC6detw5swZjBo1yvl79Zdf\nfoFarcZnn32GTz/9tNpjGY1GWK1W7N+/H926davxmvUdq7Zs2QIA+Oc//9kY37JH1157LVJTU7Fi\nxQq88MILzu956dKlkGUZDzzwgNeuTcGJCQwFvBYtWpz3eGFhofPvqKgo6HQ6j+cnJibi3LlzKCws\ndC4EsGnTJsydOxerV6/GBx98AMDeADllyhSv/MJ2xOppOWbX4wUFBdVua9asmcf7qNX2XwNWq7Ux\nQiQiCiqjR4/Gd999h+XLl2PRokUA4KzIjBo1ynlebm4urFYrZs+eXeNjSZKE0tLS816vvmOVYzyo\nS29NQ4wfPx5PPfUUPvzwQ4wdOxa7d+/Gr7/+iquvvhrt2rXz6rUp+HAKGQW8mlZ2cRyPiopy/l1Y\nWAij0ejx/NOnT7udDwC9evXCF198gYKCAmzZsgXPPvssysvLMWHCBLz//vuN+W24XfvMmTN1jpGI\niLznX//6F6Kjo7Fy5UrYbDYUFBTgiy++QGpqKvr37+88LyoqCpGRkbDZbDX+sVqtta7WVd+xyvHh\n1cmTJxvj263RmDFjoNfrndPIHH+PHz/eq9el4MQEhgLe8ePH3ZawdPjpp58AAJdffjkAoHv37hBC\nYMOGDdXO3bNnD3JycpzLT1alVqvRs2dPTJ8+3bmU5Jo1a2qNTZKkelU+Lr74YoSEhGD37t3Izc2t\ndvsPP/zg/F6IiMj7tFot7rjjDpw9exZff/01PvroIxiNxmorcvXt2xdFRUXYtWtXg65X37GqT58+\nAIBvv/32gq/p6JE533gVExOD22+/Hdu3b8emTZuwYsUKJCYmYtiwYRd8XaKaMIGhgGexWDBlyhS3\nDbgOHTqE119/HVqtFnfddRcAYOzYsQCAadOmuZXwzWYzHnvsMQDAfffd5zy+efNmGAyGatdzfPpV\nl36S2NhY5OTkeHwcT9RqNUaOHInS0lJMnTrV7basrCzMmzcPsixjzJgxdXo8IiJqOMf+XcuXL8fy\n5cshyzLuvfdet3Mc48i4ceNw6tSpao9hMBiwadOmWq9V37HqhhtuQEpKCr755hvnojWusrOza/0g\nLTY2FgA8fhjoytHMf+edd6KoqAhjx4517nlG1JjYA0MBr0uXLti6dSvS09MxZMgQ5z4wxcXFWLRo\nEZKSkgAAt99+O9auXYuVK1eiU6dOGDZsGDQaDdauXYsDBw7g6quvdtuv5YUXXsD69evRr18/pKSk\nIDIyEvv378dXX32F0NBQt/1lanLNNddg5cqVuPbaa9GvXz/odDp07doV119/fY33mT9/Pn7++Wcs\nW7YMO3fuxODBg1FQUIBPPvkEBQUFmDVrFnr06NHwJ46IiOokPT0dnTt3xpdffgmLxeK294vDwIED\n8eKLL2LKlClIS0vD0KFD0bZtW5SXl+P48ePYuHEjUlNTsWPHDrf7uX74BtR/rNJoNPjkk0/wj3/8\nAyNHjsSyZcvQq1cvmEwm7Nu3Dz/88ANycnKqrYzmavDgwZBlGS+//DJyc3OdPaQPP/yw2/169OiB\n7t274/fff4dKpcK4ceMu+DklOi8l13Am8ibH/ieDBg0Sp06dEnfddZeIi4sTISEhIj09XXz00UfV\n7mOz2cTSpUtFz549RVhYmAgJCRFdu3YVCxcuFGaz2e3cdevWiTFjxojOnTuLZs2aidDQUNGhQwcx\nbtw4sW/fPrdz3333XSHLcrU19HNycsTIkSNFYmKiUKlUQpZlMXr0aOftnvaBEUKIwsJCMW3aNHHR\nRRcJnU4noqKixKBBg8Tq1avP+zx4MmrUKCHLsnM/HCIiqr+FCxcKSZI8/q53tWXLFnHnnXeK1q1b\nC61WK5o3by66dOkiJk2aJH7++We3cwcOHFhtHxgh6jdWOZw4cUJMmjRJpKamCp1OJ2JjY0WPHj3E\n7Nmz3e6TkpLicX+yDz/8UHTv3l2EhoY6v09P48Zrr70mJEkSN9xwQ43PAVFDSUJUSe2JAsTRo0eR\nmpqKgQMHYv369UqHQ0REFPDuv/9+vP322/jqq68wdOhQpcOhAMWJiURERETUYKdOncKKFSvQrl07\nJi/kVeyBISIiIqILtnLlShw4cACrVq2CyWTCnDlzlA6JAlxAJDCOzf2IXBUVFQGwr0LG/yNEF477\nCnGcITqfN954A5s3b0bLli0xe/ZsDB06lK8Zqpf6jjMB0QPDFwkRkfcwgeE4Q0TkTfUdZ9gDQ0RE\nREREfiMgppC58odPCrdv34709HSlw6gTf4nVX+IEGKu3+Eus/hInKw414zjTuPwlVn+JE2Cs3uIv\nsfpLnA0ZZ1iBISIiIiIiv8EEhoiIiIiI/AYTGCIiIiIi8htMYIiIiIiIyG8wgSEiIiIiIr/BBIaI\niIiIiPxGwC2jXBubzQaTyaRoDMnJyTAYDIrGUFfeiFWr1UKWmTsTERERUf0FVQJjs9lgNBLine truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e07128>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad3501d0>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1207,41 +1207,41 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfaddca20>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca17feb00>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4FOXaBvB7Zms2jSQkBAIkhCJFESEgRZoIKliw4kFF\niiLFoygKAkpohiIGUGxHPIAiougBBFs+BRFEEBSlF2kBQkII6dm+7/dHkoWYBBJSZnfn/l0XF8ns\nzM6zC++888zbJCGEABERERERkReQlQ6AiIiIiIioopjAEBERERGR12ACQ0REREREXoMJDBERERER\neQ0mMERERERE5DWYwBARERERkddgAkNUC5YtWwZZlrF8+fJKHSfLMnr37l1DURERkSfr1asXZLl2\nb9ViYmLQpEmTWj0nUWUxgSGqBZIkuf9cTpblq1YU/zyGiIjUo7brgLLqqmnTpl3TQziimqJVOgAi\nNbjvvvvQpUsXREZGlnrtSpXToUOHYDKZajI0IiIit40bN5b7Gh+okadgAkNUC4KCghAUFFTp41q0\naFED0RAREZXtSr0ChBC1GAlR+diFjHzWyZMn3WNIzp49i0cffRTh4eEwmUzo2LEjPv/881LHCCGw\nZMkSdO7cGYGBgfD390f79u2RmJgIh8NRav89e/Zg8ODBaNKkCfz8/BAeHo4bb7wRY8eORU5Ojnu/\nf46B+emnn9z9movjLP4zbNgw93HljYHJzc3FK6+8gpYtW8LPzw8hISHo06cPvvrqqyt+DxkZGRg5\nciTq168Po9GI66+/HsuWLav0d0tEpHbbt2+HLMu45557yt0nLi4OGo0Gp06dcm/btGkT7rnnHoSH\nh8NgMCAmJgZjx45FWlpahc9d2boKAM6ePYtx48ahRYsWMJlMCA0NRVxcHOLj40sc888xML169cKM\nGTMAAMOGDStRX506dQqTJk2CLMv46KOPyjzvoUOHIMsyunfvXuHPR3Q1bIEhn5eZmYlbbrkFoaGh\nePLJJ3Hx4kV8/vnneOSRR5CSkoJx48a5933iiSewYsUKNGzYECNGjIBOp8NXX32FF198EUlJSfj6\n66+h0WgAFCYvN998MzQaDe666y40bdoUeXl5OH78OJYvX47x48eXanUpbn5v0qQJ4uPjMX36dAQH\nB+P5559379OuXbsyjymWnZ2NW265Bfv370f79u0xbtw4ZGZmYvXq1Rg4cCCmT5+OV199tdT3kJWV\nhW7dusFgMODhhx+G1WrF559/juHDh0OWZQwZMqRqXzQRkYp07twZLVu2xHfffYf09HSEh4eXeH3/\n/v34448/0KtXL0RHRwMA5s6di0mTJiEsLAwDBgxAZGQk/vrrL7z77rv46quvsH37dkRFRV313JWp\nqwBg165duOOOO3Dx4kX06NED999/PywWCw4ePIg5c+aUqq8ur3eGDRsGSZKwefNmDBw4sEQdVadO\nHYwePRqvv/463n///TLrkffffx8AMHr06Ap+s0QVIIh81IkTJ4QkSUKSJPHII4+UeO3YsWOiTp06\nwmAwiFOnTgkhhFi1apWQJEm0a9dO5Obmuve12WyiT58+QpIkMX/+fPf2F154QUiSJNatW1fq3Hl5\necJqtbp/X7p0qZAkSSxfvrzEfpIkiSZNmpT7GSRJEr179y6xbdSoUUKSJDFixIgS28+cOSPq168v\nZFkWO3fuLPN7eOqpp4TL5XK/duDAAaHVakXr1q3LjYGIiMo2d+5cIUmSWLBgQanXXnrppRLX/c2b\nNwtJkkTXrl1FdnZ2iX0//vhjIUmSeOCBB0ps79mzp5BlucS2ytZVVqtVxMTECFmWxccff1wqzrS0\nNOFwONy/R0dHl6qX4uPjy6zDit19991CkiSxZ8+eEtvNZrMICQkR4eHhwmazlXks0bVgFzLyeVqt\nFnPmzCmxLTY2FmPGjIHNZsOKFSsAAEuWLAEAzJ49GwEBAe59dTodFixYAAD44IMPSr2/0Wgstc3f\n3x96vb7aPkMxu92Ojz76CP7+/pg3b16J16KiojB58mR314KyYkpMTCzxZK1Vq1bo2rUrDh06hIKC\ngmqPl4jIlz3++OPQaDSlZudyOp1YsWIFAgIC8OCDDwIAFi1aBKCwReKfrfOPPfYY2rVrh3Xr1iEv\nL++K56xsXbV+/XqcOnUK/fv3x2OPPVbq/SIiIkq01lyLMWPGALjU2lLs888/R1ZWFoYOHQqdTlel\ncxBdjl3IyOc1btzY3Xx/uR49emD27Nn4888/AQB//PEHJEkqc8zJDTfcgPDwcBw9ehQFBQUwmUx4\n5JFH8Oabb2LgwIF44IEHcOutt6JLly5o2bJljX2WQ4cOwWw2o3PnzggNDS31+m233QYA2L17d6nX\nmjdvXqKyK9aoUSMIIZCZmckZz4iIKqF+/fro27cvvvvuO/z111+48cYbAQBJSUlITU3F0KFD3dfV\nX375BVqtFl9++SW++OKLUu9ltVrhdDpx5MgRtG/fvtxzVrau2r59OwDgzjvvrI6PXKY77rgDsbGx\nWLFiBebNm+f+zO+//z5kWcbTTz9dY+cmdWICQz6vXr16V9yenZ3t/js4OBgGg6HM/evXr48LFy4g\nOzvbPRHA1q1bkZCQgDVr1uCTTz4BUDgAcuLEiTVywS6OtazpmC/fnpWVVeq1OnXqlHmMVlt4GXA6\nndURIhGRqgwbNgzfffcdli9fjsTERABwt8gMHTrUvV9GRgacTiemT59e7ntJkoT8/Pwrnq+ydVVx\nfVCRsTVVMWrUKEyYMAGffvopRowYgb179+LXX3/FbbfdhqZNm9bouUl92IWMfF55M7sUbw8ODnb/\nnZ2dDavVWub+586dK7E/ANx8881Yt24dsrKysH37dsycORNmsxmjR4/Gxx9/XJ0fo8S5U1NTKxwj\nERHVnHvvvRchISFYuXIlXC4XsrKysG7dOsTGxqJHjx7u/YKDgxEUFASXy1XuH6fTedXZuipbVxU/\nvDpz5kx1fNxyDR8+HEaj0d2NrPjvUaNG1eh5SZ2YwJDPS05OLjGFZbHNmzcDAG666SYAQIcOHSCE\nwKZNm0rtu2/fPqSnp7unn/wnrVaLTp06YcqUKe6pJNeuXXvV2CRJqlTLR6tWreDn54e9e/ciIyOj\n1Os//vij+7MQEVHN0+v1eOSRR3D+/Hl8/fXX+Oyzz2C1WkvNyNW1a1fk5ORgz549VTpfZeuqLl26\nAAC+/fbbaz5n8RiZK9VXoaGhGDRoEHbt2oWtW7dixYoVqF+/PgYOHHjN5yUqDxMY8nkOhwMTJ04s\nsQDXsWPH8M4770Cv1+PRRx8FAIwYMQIAMHny5BJN+Ha7HS+88AIA4Mknn3Rv37ZtGywWS6nzFT/9\nqsh4krCwMKSnp5f5PmXRarUYMmQI8vPzMWnSpBKvpaSkYPbs2ZBlGcOHD6/Q+xERUdUVr9+1fPly\nLF++HLIs44knniixT3E9MnLkSJw9e7bUe1gsFmzduvWq56psXXX33XcjJiYG33zzjXvSmsulpaVd\n9UFaWFgYAJT5MPByxYP5//WvfyEnJwcjRoxwr3lGVJ04BoZ8Xtu2bbFjxw7ExcWhb9++7nVgcnNz\nkZiYiMaNGwMABg0ahPXr12PlypVo3bo1Bg4cCJ1Oh/Xr1+Po0aO47bbbSqzXMm/ePGzcuBHdu3dH\nTEwMgoKCcOTIEWzYsAEmk6nE+jLl6devH1auXIk77rgD3bt3h8FgQLt27XDXXXeVe8ycOXOwZcsW\nLFmyBLt370afPn2QlZWF1atXIysrC1OnTkXHjh2r/sUREVGFxMXFoU2bNvjqq6/gcDhKrP1SrFev\nXnj99dcxceJENG/eHP3790eTJk1gNpuRnJyMn3/+GbGxsfjjjz9KHHf5wzeg8nWVTqfD6tWrcfvt\nt2PIkCFYsmQJbr75ZthsNhw+fBg//vgj0tPTS82Mdrk+ffpAlmUsXLgQGRkZ7jGkzz77bInjOnbs\niA4dOuD333+HRqPByJEjr/k7JboiJedwJqpJxeuf9O7dW5w9e1Y8+uijIjw8XPj5+Ym4uDjx2Wef\nlTrG5XKJ999/X3Tq1En4+/sLPz8/0a5dOzF//nxht9tL7JuUlCSGDx8u2rRpI+rUqSNMJpNo0aKF\nGDlypDh8+HCJfZctWyZkWS41h356eroYMmSIqF+/vtBoNEKWZTFs2DD362WtAyOEENnZ2WLy5Mni\nuuuuEwaDQQQHB4vevXuLNWvWXPF7KMvQoUOFLMvu9XCIiKjy5s+fLyRJKvNaf7nt27eLf/3rX6Jh\nw4ZCr9eLunXrirZt24pnnnlGbNmypcS+vXr1KrUOjBCVq6uKnT59WjzzzDMiNjZWGAwGERYWJjp2\n7CimT59e4piYmJgy1yf79NNPRYcOHYTJZHJ/zrLqjbfffltIkiTuvvvucr8DoqqShPhHak/kI06e\nPInY2Fj06tULGzduVDocIiIin/fUU0/hww8/xIYNG9C/f3+lwyEfxY6JRERERFRlZ8+exYoVK9C0\naVMmL1SjOAaGiIiIiK7ZypUrcfToUaxatQo2mw0zZsxQOiTycT6RwBQv7kd0uZycHACFs5Dx/wjR\nteO6QqxniK7k3XffxbZt29CgQQNMnz4d/fv3Z5mhSqlsPeMTY2BYSIiIag4TGNYzREQ1qbL1DMfA\nEBERERGR1/CJLmSX84Ynhbt27UJcXJzSYVSIt8TqLXECjLWmeEus3hInWxzKx3qmenlLrN4SJ8BY\na4q3xOotcValnmELDBEREREReQ0mMERERERE5DWYwBARERERkddgAkNERERERF6DCQwREREREXkN\nJjBEREREROQ1fG4a5atxuVyw2WyKxhAdHQ2LxaJoDBVVE7Hq9XrIMnNnIiIiIqo8VSUwLpLine truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfaddc780>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca17fe1d0>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bfb155a20>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca1801d30>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02e046d8>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca18c2f28>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAGxCAYAAAC9e1NPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2c02c41f28>"
|
||||
"<matplotlib.figure.Figure at 0x7f9cad433898>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1389,9 +1389,9 @@
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "display_data",
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAyQAAAGbCAYAAAA1CVSNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"png": "iVBORw0KGgoAAAANSUhEUgAAAyQAAAGbCAYAAAA1CVSNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
|
||||
"text": [
|
||||
"<matplotlib.figure.Figure at 0x7f2bf9490240>"
|
||||
"<matplotlib.figure.Figure at 0x7f9ca18de080>"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
Reference in new issue
Block a user