geggo/matplotlib_interpolation_issue.ipynb

## matplotlib_interpolation_issue.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0.2'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x116a058d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XyQ3fZ5/95rp8r7fk6fUc7tn3DXtJmjSDXsuzeFKdXturb6/PnzDDnc+al6RNw6DX8i0x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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1169a2450>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 253
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = zeros((50, 50))\n",
    "t[10, 10] = 1\n",
    "t[10, 20] = 2\n",
    "imshow(t, vmin=0, vmax=1, interpolation='lanczos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": [
	"Populating the interactive namespace from numpy and matplotlib\n"
	]
	}
	],
	"source": [
	"%pylab inline"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 13,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"'2.0.2'"
	]
	},
	"execution_count": 13,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"matplotlib.__version__"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 12,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<matplotlib.image.AxesImage at 0x116a058d0>"
	]
	},
	"execution_count": 12,
	"metadata": {},
	"output_type": "execute_result"
	},
	{
	"data": {
	"image/png": 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XyQ3fZ5/95rp8r7fk6fUc7tn3DXtJmjSDXsuzeFKdXturb6/PnzDDnc+al6RNw6DX8i0x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\n",
	"text/plain": [
	"<matplotlib.figure.Figure at 0x1169a2450>"
	]
	},
	"metadata": {
	"image/png": {
	"height": 250,
	"width": 253
	}
	},
	"output_type": "display_data"
	}
	],
	"source": [
	"t = zeros((50, 50))\n",
	"t[10, 10] = 1\n",
	"t[10, 20] = 2\n",
	"imshow(t, vmin=0, vmax=1, interpolation='lanczos')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 2",
	"language": "python",
	"name": "python2"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 2
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython2",
	"version": "2.7.12"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 0
	}