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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 | 92cca121f959c6616e3da431c1e2d23c4fa5e886 (patch) | |
tree | 205e68d0ce598ac5caca7de839a2934d746cce86 /ELECTRIC_MACHINERY/chapter9.ipynb | |
parent | b14c13fcc6bb6d01c468805d612acb353ec168ac (diff) | |
download | Python-Textbook-Companions-92cca121f959c6616e3da431c1e2d23c4fa5e886.tar.gz Python-Textbook-Companions-92cca121f959c6616e3da431c1e2d23c4fa5e886.tar.bz2 Python-Textbook-Companions-92cca121f959c6616e3da431c1e2d23c4fa5e886.zip |
added books
Diffstat (limited to 'ELECTRIC_MACHINERY/chapter9.ipynb')
-rwxr-xr-x | ELECTRIC_MACHINERY/chapter9.ipynb | 30 |
1 files changed, 8 insertions, 22 deletions
diff --git a/ELECTRIC_MACHINERY/chapter9.ipynb b/ELECTRIC_MACHINERY/chapter9.ipynb index b9eac00a..3cdb1b6c 100755 --- a/ELECTRIC_MACHINERY/chapter9.ipynb +++ b/ELECTRIC_MACHINERY/chapter9.ipynb @@ -1,6 +1,7 @@ { "metadata": { - "name": "" + "name": "", + "signature": "sha256:934a14335227a49c83c2d399431a59d2d79025dde47942572f3e87ac684c8499" }, "nbformat": 3, "nbformat_minor": 0, @@ -233,9 +234,10 @@ "collapsed": false, "input": [ "from __future__ import division\n", - "%pylab inline\n", + "%matplotlib inline\n", "import cmath\n", "from math import *\n", + "from matplotlib.pyplot import *\n", "\n", "#Variable declaration:\n", "Lmain=0.0806 #main winding inductance(H)\n", @@ -343,15 +345,7 @@ "output_type": "stream", "stream": "stdout", "text": [ - "Populating the interactive namespace from numpy and matplotlib\n", - "part (a):" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n", + "part (a):\n", "\n", "Imain= 15.9 A at an angle -37.6 degrees\n", "\n", @@ -379,23 +373,15 @@ ] }, { - "output_type": "stream", - "stream": "stderr", - "text": [ - "WARNING: pylab import has clobbered these variables: ['Polygon', 'poly', 'sign', 'ldexp', 'hypot', 'flatten', 'conjugate', 'diff', 'tan', 'Circle', 'roots', 'plot', 'isnan', 'eye', 'trace', 'fabs', 'floor', 'diag', 'invert', 'nan', 'modf', 'sqrt', 'frexp', 'source', 'add', 'degrees', 'take', 'var', 'zeros', 'pi', 'log10', 'plotting', 'product', 'seterr', 'power', 'multinomial', 'copysign', 'transpose', 'expm1', 'ceil', 'test', 'beta', 'ones', 'isinf', 'sinh', 'vectorize', 'cosh', 'mod', 'cos', 'prod', 'e', 'f', 'tanh', 'det', 'radians', 'sin', 'binomial', 'solve', 'log', 'fmod', 'reshape', 'exp', 'trunc', 'log1p', 'gamma', 'interactive']\n", - "`%pylab --no-import-all` prevents importing * from pylab and numpy\n" - ] - }, - { "metadata": {}, "output_type": "display_data", - "png": 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53GZ4uvDz6VuLyYGIbE5DSeCnqz9h3/l9hmNSYnnV59bitBIR2ZzaJLDrzC4kbE8wtHdo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\nICIiBSYHIiJSYHIgIiKF/w/ondA2j7ZbKwAAAABJRU5ErkJggg==\n", 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