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author | hardythe1 | 2015-04-07 15:58:05 +0530 |
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committer | hardythe1 | 2015-04-07 15:58:05 +0530 |
commit | c7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131 (patch) | |
tree | 725a7d43dc1687edf95bc36d39bebc3000f1de8f /BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb | |
parent | 62aa228e2519ac7b7f1aef53001f2f2e988a6eb1 (diff) | |
download | Python-Textbook-Companions-c7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131.tar.gz Python-Textbook-Companions-c7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131.tar.bz2 Python-Textbook-Companions-c7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131.zip |
added books
Diffstat (limited to 'BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb')
-rwxr-xr-x | BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb | 18 |
1 files changed, 5 insertions, 13 deletions
diff --git a/BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb b/BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb index 74af3cd5..04c5c889 100755 --- a/BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb +++ b/BASIC_ELECTRICAL_ENGINEERING_/Chapter4.ipynb @@ -1,6 +1,7 @@ { "metadata": { - "name": "" + "name": "", + "signature": "sha256:3cfae8c34ec0891b928806727193cd8cb859809240d182673d6b8dcfad3eeded" }, "nbformat": 3, "nbformat_minor": 0, @@ -439,7 +440,7 @@ "from pylab import *\n", "from matplotlib import *\n", "import numpy as np\n", - "%pylab inline\n", + "%matplotlib inline\n", "\n", "\n", "#Variable declaration:\n", @@ -488,7 +489,6 @@ " (vii) For R_L = 32 Ohms, Po = 16.00 W. \n", " (viii) For R_L = infinity, Po = 0.00 W.\n", "Note: Po is the power delivered to the speaker (in Watts) and R_L is the speaker resistance(in Ohms).\n", - "Populating the interactive namespace from numpy and matplotlib\n", "\n", "\n", "The required plot is shown below: " @@ -502,19 +502,11 @@ ] }, { - "output_type": "stream", - "stream": "stderr", - "text": [ - "WARNING: pylab import has clobbered these variables: ['streamplot', 'rc', 'tri', 'axes', 'legend', 'rc_context', 'figure', 'f', 'quiver', 'axis', 'linalg', 'draw_if_interactive', 'text', 'random', 'colors', 'stackplot', 'contour', 'colorbar', 'rcdefaults', 'table', 'power', 'info', 'fft', 'test']\n", - "`%pylab --no-import-all` prevents importing * from pylab and numpy\n" - ] - }, - { "metadata": {}, "output_type": "display_data", - "png": 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RZvBruQ/ADFQfHKrqdoktMl3xaNPvQHHlxr9Tp39g9eoRPNY+Y2akIX0AfARg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\nCr1eX3UEUfXa6q+3tLQU5ltYWMDKykr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DzgBQ540f/yVERX397wPeAQB6KaCvnQWTeMPbdcTeWh950XHbW2twbc/R+5Ur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\n43g8Xszjx4/d2noPbQqAtq4PoKPKykr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"text": [ - "<matplotlib.figure.Figure at 0x43b9d10>" + "<matplotlib.figure.Figure at 0x4950910>" ] } ], |