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| "execution_count": 21, | |
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| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "import pandas as pd\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "result = \"20180704_test_FMR_S21_Field 0~2000G_Freq 5G_without sample_0\"\n", | |
| "for i in range(1,6):\n", | |
| " result_name = result+str(i)\n", | |
| " data = pd.read_csv(result_name,sep=\"\\t\")\n", | |
| " y += data['Field (G)'].values\n", | |
| " x += data.index.get_values()\n", | |
| "y = y/5\n", | |
| "x = x/5" | |
| ] | |
| }, | |
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| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import plotly.plotly as py\n", | |
| "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot, offline\n", | |
| "init_notebook_mode(connected=True)\n", | |
| "import plotly.graph_objs as go\n", | |
| "\n", | |
| "layout = go.Layout(\n", | |
| " margin = dict(l = 110, r = 50, b = 70, t = 50, pad = 4),\n", | |
| " title = 'S11 without sample',\n", | |
| " titlefont = dict(size=32),\n", | |
| " font = dict(size=16),\n", | |
| " xaxis=dict(\n", | |
| " title = 'B (G)',\n", | |
| " titlefont=dict(\n", | |
| " size=22,\n", | |
| " ),\n", | |
| " showgrid=True,\n", | |
| " zeroline=True,\n", | |
| " showline=True,\n", | |
| " mirror='ticks',\n", | |
| " gridcolor='#bdbdbd',\n", | |
| " gridwidth=2,\n", | |
| " zerolinecolor='#969696',\n", | |
| " zerolinewidth=2,\n", | |
| " linecolor='#636363',\n", | |
| " linewidth=6\n", | |
| " ),\n", | |
| " yaxis=dict(\n", | |
| " title = 'S11 (dB)',\n", | |
| " titlefont=dict(\n", | |
| " size=22,\n", | |
| " ),\n", | |
| " showgrid=True,\n", | |
| " zeroline=True,\n", | |
| " showline=True,\n", | |
| " mirror='ticks',\n", | |
| " gridcolor='#bdbdbd',\n", | |
| " gridwidth=2,\n", | |
| " zerolinecolor='#969696',\n", | |
| " zerolinewidth=2,\n", | |
| " linecolor='#636363',\n", | |
| " linewidth=6\n", | |
| " )\n", | |
| ")\n", | |
| "\n", | |
| "trace = go.Scatter(x=x, y=y, name='Exp. S11')\n", | |
| "iplot({'data':[trace], 'layout':layout}, filename='S21')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 45, | |
| "metadata": {}, | |
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| { | |
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-14.623340000000002, -14.620522600000001, -14.622807799999999, -14.6236278, -14.623116200000002, -14.622205599999997, -14.6252274, -14.6225986, -14.6243662, -14.622920599999997, -14.621168, -14.6171212, -14.61958, -14.621494799999999, -14.6216766, -14.623302599999999, -14.623780399999998, -14.624793599999999, -14.625619, -14.622109799999999, -14.6251342, -14.619023600000002, -14.6223968, -14.620962800000001, -14.620525800000001, -14.621456600000002, -14.623244600000001, -14.6241614, -14.623325, -14.618365599999999, -14.619358], \"name\": \"Exp. S11\"}], {\"margin\": {\"l\": 110, \"r\": 50, \"b\": 70, \"t\": 50, \"pad\": 4}, \"title\": \"S11 with sample\", \"titlefont\": {\"size\": 32}, \"font\": {\"size\": 16}, \"xaxis\": {\"title\": \"B (G)\", \"titlefont\": {\"size\": 22}, \"showgrid\": true, \"zeroline\": true, \"showline\": true, \"mirror\": \"ticks\", \"gridcolor\": \"#bdbdbd\", \"gridwidth\": 2, \"zerolinecolor\": \"#969696\", \"zerolinewidth\": 2, \"linecolor\": \"#636363\", \"linewidth\": 6}, \"yaxis\": {\"title\": \"S11 (dB)\", \"titlefont\": {\"size\": 22}, \"showgrid\": true, \"zeroline\": true, \"showline\": true, \"mirror\": \"ticks\", \"gridcolor\": \"#bdbdbd\", \"gridwidth\": 2, \"zerolinecolor\": \"#969696\", \"zerolinewidth\": 2, \"linecolor\": \"#636363\", \"linewidth\": 6}}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "result_s = \"20180704_test_FMR_S21_Field 0~2000G_Freq 5G_0\"\n", | |
| "x_s=0\n", | |
| "y_s = 0\n", | |
| "for i in range(1,6):\n", | |
| " result_name = result_s+str(i)\n", | |
| " data = pd.read_csv(result_name,sep=\"\\t\")\n", | |
| " y_s = y_s + data['Field (G)'].values\n", | |
| " x_s = x_s + data.index.get_values()\n", | |
| "y_s = y_s/5\n", | |
| "x_s = x_s/5\n", | |
| "\n", | |
| "layout_2 = go.Layout(\n", | |
| " margin = dict(l = 110, r = 50, b = 70, t = 50, pad = 4),\n", | |
| " title = 'S11 with sample',\n", | |
| " titlefont = dict(size=32),\n", | |
| " font = dict(size=16),\n", | |
| " xaxis=dict(\n", | |
| " title = 'B (G)',\n", | |
| " titlefont=dict(\n", | |
| " size=22,\n", | |
| " ),\n", | |
| " showgrid=True,\n", | |
| " zeroline=True,\n", | |
| " showline=True,\n", | |
| " mirror='ticks',\n", | |
| " gridcolor='#bdbdbd',\n", | |
| " gridwidth=2,\n", | |
| " zerolinecolor='#969696',\n", | |
| " zerolinewidth=2,\n", | |
| " linecolor='#636363',\n", | |
| " linewidth=6\n", | |
| " ),\n", | |
| " yaxis=dict(\n", | |
| " title = 'S11 (dB)',\n", | |
| " titlefont=dict(\n", | |
| " size=22,\n", | |
| " ),\n", | |
| " showgrid=True,\n", | |
| " zeroline=True,\n", | |
| " showline=True,\n", | |
| " mirror='ticks',\n", | |
| " gridcolor='#bdbdbd',\n", | |
| " gridwidth=2,\n", | |
| " zerolinecolor='#969696',\n", | |
| " zerolinewidth=2,\n", | |
| " linecolor='#636363',\n", | |
| " linewidth=6\n", | |
| " )\n", | |
| ")\n", | |
| "\n", | |
| "trace2 = go.Scatter(x=x_s, y=y_s, name='Exp. S11')\n", | |
| "iplot({'data':[trace2], 'layout':layout_2}, filename='S11')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.6.4" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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