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shared_fooの不要ディレクトリ削除前のもの


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Revisione1d8d483a62fd14179429e23c1921030e5dd4bf0 (tree)
Time2017-03-09 07:35:45
AuthorTakemasa <suikan@user...>
CommiterTakemasa

Log Message

small change

Change Summary

Incremental Difference

--- a/jupyter-notebook/Suquare Pulse.ipynb
+++ b/jupyter-notebook/Suquare Pulse.ipynb
@@ -13,7 +13,7 @@
1313 },
1414 {
1515 "cell_type": "code",
16- "execution_count": 2,
16+ "execution_count": 6,
1717 "metadata": {
1818 "collapsed": false,
1919 "scrolled": true
@@ -40,20 +40,20 @@
4040 " \n",
4141 " return sig\n",
4242 "\n",
43- "def show_space_to_time( space_data, labeltext ):\n",
43+ "def show_time_to_frequency( time_data, labeltext ):\n",
4444 " plt.subplot(221)\n",
4545 " plt.title('Time Domain')\n",
46- " plt.plot(space_data, label=labeltext)\n",
46+ " plt.plot(time_data, label=labeltext)\n",
4747 " plt.axis([-5, 1029, -0.1, 1.1 ])\n",
4848 " plt.legend()\n",
4949 " \n",
5050 " plt.subplot(222)\n",
5151 " plt.title(\"Time Domain (detail)\")\n",
52- " plt.plot(space_data, label=labeltext)\n",
52+ " plt.plot(time_data, label=labeltext)\n",
5353 " plt.axis([-5, 105, -0.1, 1.1 ])\n",
5454 " plt.legend()\n",
5555 " \n",
56- " signal = np.fft.fft(space_data)\n",
56+ " signal = np.fft.fft(time_data)\n",
5757 " response = [c.real for c in signal]\n",
5858 "\n",
5959 " plt.subplot(223)\n",
@@ -70,19 +70,19 @@
7070 " plt.tight_layout()\n",
7171 "\n",
7272 "\n",
73- "def show_space_to_time2( space_data, labeltext ):\n",
73+ "def show_time_to_frequency2( time_data, labeltext ):\n",
7474 " plt.subplot(221)\n",
7575 " plt.title('Time Domain')\n",
76- " plt.plot(space_data, label=labeltext)\n",
76+ " plt.plot(time_data, label=labeltext)\n",
7777 " plt.legend()\n",
7878 " \n",
7979 " plt.subplot(222)\n",
8080 " plt.title(\"Time Domain (detail)\")\n",
81- " plt.plot(space_data, label=labeltext)\n",
81+ " plt.plot(time_data, label=labeltext)\n",
8282 " plt.axis([506, 762, -0.25, 0.25 ])\n",
8383 " plt.legend()\n",
8484 " \n",
85- " signal = np.fft.fft(space_data)\n",
85+ " signal = np.fft.fft(time_data)\n",
8686 " response = [np.sqrt(c.real**2+c.imag**2) for c in signal]\n",
8787 "\n",
8888 " plt.subplot(223)\n",
@@ -110,7 +110,7 @@
110110 },
111111 {
112112 "cell_type": "code",
113- "execution_count": 3,
113+ "execution_count": 7,
114114 "metadata": {
115115 "collapsed": false
116116 },
@@ -119,7 +119,7 @@
119119 "data": {
120120 "image/png": 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p39WECkh15GImCQ0zjwhN4fngCQWlRI76ptMHGDBgAEuXLo2ofJ6hOXYthwF/slh3xkGp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\nRqPRaCzJ/wOxkrs30fmfYAAAAABJRU5ErkJggg==\n",
121121 "text/plain": [
122- "<matplotlib.figure.Figure at 0x7fef3423a5c0>"
122+ "<matplotlib.figure.Figure at 0x7f11573a5be0>"
123123 ]
124124 },
125125 "metadata": {},
@@ -131,11 +131,11 @@
131131 "\n",
132132 "duty = 0.02\n",
133133 "sq = create_square(N, duty)\n",
134- "show_space_to_time(sq, str(duty))\n",
134+ "show_time_to_frequency(sq, str(duty))\n",
135135 "\n",
136136 "duty = 0.06\n",
137137 "sq = create_square(N, duty)\n",
138- "show_space_to_time(sq, str(duty))"
138+ "show_time_to_frequency(sq, str(duty))"
139139 ]
140140 },
141141 {
@@ -147,7 +147,7 @@
147147 },
148148 {
149149 "cell_type": "code",
150- "execution_count": 4,
150+ "execution_count": 8,
151151 "metadata": {
152152 "collapsed": false,
153153 "scrolled": true
@@ -157,7 +157,7 @@
157157 "data": {
158158 "image/png": 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Sd/DNKbeibX5eCJsWw/g74LYfYfIf4Zy/43HPZk76Dueyo4+x7uMXHOpSZ5Lo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\nKIoSSv4/htf4sRCqgiwAAAAASUVORK5CYII=\n",
159159 "text/plain": [
160- "<matplotlib.figure.Figure at 0x7fef06a02cf8>"
160+ "<matplotlib.figure.Figure at 0x7f1157307b38>"
161161 ]
162162 },
163163 "metadata": {},
@@ -169,11 +169,11 @@
169169 "\n",
170170 "coeff = 0.02\n",
171171 "sc = np.sinc([ i * coeff for i in r])\n",
172- "show_space_to_time2(sc, str(coeff))\n",
172+ "show_time_to_frequency2(sc, str(coeff))\n",
173173 "\n",
174174 "coeff = 0.06\n",
175175 "sc = np.sinc([ i * coeff for i in r])\n",
176- "show_space_to_time2(sc, str(coeff))"
176+ "show_time_to_frequency2(sc, str(coeff))"
177177 ]
178178 },
179179 {
@@ -185,7 +185,7 @@
185185 },
186186 {
187187 "cell_type": "code",
188- "execution_count": 25,
188+ "execution_count": 9,
189189 "metadata": {
190190 "collapsed": false
191191 },
@@ -196,7 +196,7 @@
196196 "[-50, 2050, -0.25, 1.05]"
197197 ]
198198 },
199- "execution_count": 25,
199+ "execution_count": 9,
200200 "metadata": {},
201201 "output_type": "execute_result"
202202 },
@@ -204,7 +204,7 @@
204204 "data": {
205205 "image/png": 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206206 "text/plain": [
207- "<matplotlib.figure.Figure at 0x7fef06605eb8>"
207+ "<matplotlib.figure.Figure at 0x7f11574bf8d0>"
208208 ]
209209 },
210210 "metadata": {},
@@ -229,7 +229,7 @@
229229 },
230230 {
231231 "cell_type": "code",
232- "execution_count": 6,
232+ "execution_count": 10,
233233 "metadata": {
234234 "collapsed": false
235235 },
@@ -240,7 +240,7 @@
240240 "[-50, 2050, -23, 3]"
241241 ]
242242 },
243- "execution_count": 6,
243+ "execution_count": 10,
244244 "metadata": {},
245245 "output_type": "execute_result"
246246 },
@@ -248,7 +248,7 @@
248248 "data": {
249249 "image/png": 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250250 "text/plain": [
251- "<matplotlib.figure.Figure at 0x7fef068a5a58>"
251+ "<matplotlib.figure.Figure at 0x7f1157695978>"
252252 ]
253253 },
254254 "metadata": {},