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ddasilva/Interp2d Test.ipynb

Created October 29, 2017 01:41
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Interp2d Test.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('0.19.1', '1.13.1', sys.version_info(major=2, minor=7, micro=13, releaselevel='final', serial=0))\n"
]
}
],
"source": [
"import sys, scipy, numpy; print(scipy.__version__, numpy.__version__, sys.version_info)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"xaxis = np.linspace(0, 10, 100)\n",
"yaxis = np.linspace(0, 10, 100)\n",
"X, Y = np.meshgrid(xaxis, yaxis)\n",
"Z = np.sin(X) * np.cos(Y)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar at 0x7f26b27867d0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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U6j+lvIYbs2YQCbsXLnfcnIvj+Lm9VTSMO8f0C8Omz+WQOZTuIJZ8oAfD0Tlsv48M/0nS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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f26b7eccd90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pylab as plt\n",
"%matplotlib inline\n",
"plt.pcolormesh(X, Y, Z)\n",
"plt.xlabel('X')\n",
"plt.ylabel('Y')\n",
"plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from scipy.interpolate import interp2d\n",
"itp = interp2d(X, Y, Z)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar at 0x7f26ab05e1d0>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Lu7wxa4oMn1nVnqTzItPfzdhPv6kzZSZFDIzkMY52pTsIDOwG2Vev0wadCc0a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\nH/QdDodji+CDvsPhcGwR/n+R8t04IWLU0gAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f26ab57b110>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Zp = itp(xaxis - 1, yaxis)\n",
"plt.pcolormesh(X - 1, Y, Zp)\n",
"plt.xlabel('X')\n",
"plt.ylabel('Y')\n",
"plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ -3.34050451e-18, -3.34050451e-18, -3.34050451e-18,\n",
" -3.34050451e-18, -3.34050451e-18],\n",
" [ 5.00008675e-18, 5.00008675e-18, 5.00008675e-18,\n",
" 5.00008675e-18, 5.00008675e-18],\n",
" [ 5.46593220e-18, 5.46593220e-18, 5.46593220e-18,\n",
" 5.46593220e-18, 5.46593220e-18],\n",
" [ -2.70540966e-18, -2.70540966e-18, -2.70540966e-18,\n",
" -2.70540966e-18, -2.70540966e-18],\n",
" [ -7.84993349e-18, -7.84993349e-18, -7.84993349e-18,\n",
" -7.84993349e-18, -7.84993349e-18],\n",
" [ -5.27109907e-19, -5.27109907e-19, -5.27109907e-19,\n",
" -5.27109907e-19, -5.27109907e-19],\n",
" [ 1.56968571e-32, 1.56968571e-32, 1.56968571e-32,\n",
" 1.56968571e-32, 1.56968571e-32],\n",
" [ -3.43088954e-18, -3.43088954e-18, -3.43088954e-18,\n",
" -3.43088954e-18, -3.43088954e-18],\n",
" [ 1.40170190e-18, 1.40170190e-18, 1.40170190e-18,\n",
" 1.40170190e-18, 1.40170190e-18],\n",
" [ -2.40427663e-19, -2.40427663e-19, -2.40427663e-19,\n",
" -2.40427663e-19, -2.40427663e-19],\n",
" [ 6.39910908e-19, 6.39910908e-19, 6.39910908e-19,\n",
" 6.39910908e-19, 6.39910908e-19],\n",
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" -1.39944451e-18, -1.39944451e-18],\n",
" [ 2.45854040e-18, 2.45854040e-18, 2.45854040e-18,\n",
" 2.45854040e-18, 2.45854040e-18],\n",
" [ -2.35320145e-18, -2.35320145e-18, -2.35320145e-18,\n",
" -2.35320145e-18, -2.35320145e-18],\n",
" [ 1.75692306e-19, 1.75692306e-19, 1.75692306e-19,\n",
" 1.75692306e-19, 1.75692306e-19],\n",
" [ 3.61564998e-19, 3.61564998e-19, 3.61564998e-19,\n",
" 3.61564998e-19, 3.61564998e-19],\n",
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" 6.65987970e-19, 6.65987970e-19],\n",
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" -9.16157068e-20, -9.16157068e-20],\n",
" [ -5.15194207e-33, -5.15194207e-33, -5.15194207e-33,\n",
" -5.15194207e-33, -5.15194207e-33],\n",
" [ 9.51548066e-19, 9.51548066e-19, 9.51548066e-19,\n",
" 9.51548066e-19, 9.51548066e-19],\n",
" [ -6.60097720e-19, -6.60097720e-19, -6.60097720e-19,\n",
" -6.60097720e-19, -6.60097720e-19],\n",
" [ -3.39591996e-18, -3.39591996e-18, -3.39591996e-18,\n",
" -3.39591996e-18, -3.39591996e-18],\n",
" [ 1.49717383e-19, 1.49717383e-19, 1.49717383e-19,\n",
" 1.49717383e-19, 1.49717383e-19],\n",
" [ 1.54422092e-18, 1.54422092e-18, 1.54422092e-18,\n",
" 1.54422092e-18, 1.54422092e-18],\n",
" [ 6.19750979e-19, 6.19750979e-19, 6.19750979e-19,\n",
" 6.19750979e-19, 6.19750979e-19],\n",
" [ -8.36691859e-18, -8.36691859e-18, -8.36691859e-18,\n",
" -8.36691859e-18, -8.36691859e-18],\n",
" [ 1.92400498e-19, 1.92400498e-19, 1.92400498e-19,\n",
" 1.92400498e-19, 1.92400498e-19],\n",
" [ 5.15202494e-32, 5.15202494e-32, 5.15202494e-32,\n",
" 5.15202494e-32, 5.15202494e-32],\n",
" [ -1.89970597e-19, -1.89970597e-19, -1.89970597e-19,\n",
" -1.89970597e-19, -1.89970597e-19],\n",
" [ 4.37899493e-18, 4.37899493e-18, 4.37899493e-18,\n",
" 4.37899493e-18, 4.37899493e-18],\n",
" [ -1.39863132e-17, -1.39863132e-17, -1.39863132e-17,\n",
" -1.39863132e-17, -1.39863132e-17],\n",
" [ 5.52479809e-18, 5.52479809e-18, 5.52479809e-18,\n",
" 5.52479809e-18, 5.52479809e-18],\n",
" [ -3.44226720e-18, -3.44226720e-18, -3.44226720e-18,\n",
" -3.44226720e-18, -3.44226720e-18],\n",
" [ -2.29311202e-18, -2.29311202e-18, -2.29311202e-18,\n",
" -2.29311202e-18, -2.29311202e-18],\n",
" [ 1.67333712e-18, 1.67333712e-18, 1.67333712e-18,\n",
" 1.67333712e-18, 1.67333712e-18],\n",
" [ -1.21073153e-17, -1.21073153e-17, -1.21073153e-17,\n",
" -1.21073153e-17, -1.21073153e-17],\n",
" [ -6.62104670e-32, -6.62104670e-32, -6.62104670e-32,\n",
" -6.62104670e-32, -6.62104670e-32],\n",
" [ -2.61173168e-18, -2.61173168e-18, -2.61173168e-18,\n",
" -2.61173168e-18, -2.61173168e-18],\n",
" [ -8.68704914e-18, -8.68704914e-18, -8.68704914e-18,\n",
" -8.68704914e-18, -8.68704914e-18],\n",
" [ -3.96188873e-18, -3.96188873e-18, -3.96188873e-18,\n",
" -3.96188873e-18, -3.96188873e-18],\n",
" [ 8.90035303e-19, 8.90035303e-19, 8.90035303e-19,\n",
" 8.90035303e-19, 8.90035303e-19],\n",
" [ -2.08753247e-19, -2.08753247e-19, -2.08753247e-19,\n",
" -2.08753247e-19, -2.08753247e-19],\n",
" [ -1.64847883e-32, -1.64847883e-32, -1.64847883e-32,\n",
" -1.64847883e-32, -1.64847883e-32],\n",
" [ -2.60034312e-18, -2.60034312e-18, -2.60034312e-18,\n",
" -2.60034312e-18, -2.60034312e-18],\n",
" [ -4.29371119e-19, -4.29371119e-19, -4.29371119e-19,\n",
" -4.29371119e-19, -4.29371119e-19],\n",
" [ 2.87347101e-19, 2.87347101e-19, 2.87347101e-19,\n",
" 2.87347101e-19, 2.87347101e-19],\n",
" [ -1.94764242e-19, -1.94764242e-19, -1.94764242e-19,\n",
" -1.94764242e-19, -1.94764242e-19],\n",
" [ -4.77225690e-20, -4.77225690e-20, -4.77225690e-20,\n",
" -4.77225690e-20, -4.77225690e-20],\n",
" [ -4.24489995e-19, -4.24489995e-19, -4.24489995e-19,\n",
" -4.24489995e-19, -4.24489995e-19],\n",
" [ 4.74452337e-20, 4.74452337e-20, 4.74452337e-20,\n",
" 4.74452337e-20, 4.74452337e-20],\n",
" [ 3.42256704e-18, 3.42256704e-18, 3.42256704e-18,\n",
" 3.42256704e-18, 3.42256704e-18],\n",
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" [ 1.35298998e-20, 1.35298998e-20, 1.35298998e-20,\n",
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" [ 1.60866223e-18, 1.60866223e-18, 1.60866223e-18,\n",
" 1.60866223e-18, 1.60866223e-18],\n",
" [ 1.13588564e-18, 1.13588564e-18, 1.13588564e-18,\n",
" 1.13588564e-18, 1.13588564e-18],\n",
" [ -1.64912874e-18, -1.64912874e-18, -1.64912874e-18,\n",
" -1.64912874e-18, -1.64912874e-18],\n",
" [ 3.39591996e-18, 3.39591996e-18, 3.39591996e-18,\n",
" 3.39591996e-18, 3.39591996e-18]])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.set_printoptions(threshold=np.nan)\n",
"Zp[:, :5]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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