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authorhardythe12015-04-07 15:58:05 +0530
committerhardythe12015-04-07 15:58:05 +0530
commitc7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131 (patch)
tree725a7d43dc1687edf95bc36d39bebc3000f1de8f /ELECTRIC_MACHINERY/chapter1.ipynb
parent62aa228e2519ac7b7f1aef53001f2f2e988a6eb1 (diff)
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Diffstat (limited to 'ELECTRIC_MACHINERY/chapter1.ipynb')
-rwxr-xr-xELECTRIC_MACHINERY/chapter1.ipynb20
1 files changed, 6 insertions, 14 deletions
diff --git a/ELECTRIC_MACHINERY/chapter1.ipynb b/ELECTRIC_MACHINERY/chapter1.ipynb
index 0e747060..3eaa70a1 100755
--- a/ELECTRIC_MACHINERY/chapter1.ipynb
+++ b/ELECTRIC_MACHINERY/chapter1.ipynb
@@ -1,6 +1,7 @@
{
"metadata": {
- "name": ""
+ "name": "",
+ "signature": "sha256:29b5ec9b20f222bcfeb31d6e80f55e5d32272a4cce1e9227a6328e93313e209d"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -174,7 +175,7 @@
"from pylab import *\n",
"from matplotlib import *\n",
"from math import *\n",
- "%pylab inline\n",
+ "%matplotlib inline\n",
"#Variable declaration:\n",
"Ac=9e-4 #Cross-section of the core(m)\n",
"Ag=9e-4 #Cross-section of the air-gap(m)\n",
@@ -210,28 +211,19 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Populating the interactive namespace from numpy and matplotlib\n",
"The reqired plot is shown below:\n"
]
},
{
- "output_type": "stream",
- "stream": "stderr",
- "text": [
- "WARNING: pylab import has clobbered these variables: ['streamplot', 'rc', 'tri', 'axes', 'sinh', 'legend', 'trunc', 'rc_context', 'figure', 'f', 'quiver', 'tan', 'axis', 'cosh', 'degrees', 'radians', 'fmod', 'expm1', 'ldexp', 'linalg', 'exp', 'draw_if_interactive', 'text', 'random', 'colors', 'stackplot', 'frexp', 'ceil', 'contour', 'isnan', 'copysign', 'cos', 'fft', 'tanh', 'colorbar', 'fabs', 'sqrt', 'rcdefaults', 'hypot', 'table', 'power', 'gamma', 'log', 'log10', 'info', 'log1p', 'floor', 'modf', 'test', 'pi', 'isinf', 'e', 'sin']\n",
- "`%pylab --no-import-all` prevents importing * from pylab and numpy\n"
- ]
- },
- {
"metadata": {},
"output_type": "display_data",
- "png": 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PP2L+/PlKYlmwYAHy8/Mxffp0ZZq2bdsqieLWrVto2rQp/vOf/yA8PFw3yDrY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\nyhSEhIQo8zZr1gz79+9HYGAgtmzZgnf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pKQn37t27zNPTM0kkEikuXLjwkL29/YOwsLAQQggJCQkJO3Xq1Mz9+/cvVVJS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\nrFq1akdubq5F//797xJCyJAhQ25kZmY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"text": [
- "<matplotlib.figure.Figure at 0x31b54d0>"
+ "<matplotlib.figure.Figure at 0x2a2ba10>"
]
}
],
- "prompt_number": 4
+ "prompt_number": 1
},
{
"cell_type": "heading",