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    {
      "cell_type": "code",
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Streamplot\n\nDemo of the ``streamplot`` function.\n\nA streamplot, or streamline plot, is used to display 2D vector fields. This\nexample shows a few features of the stream plot function:\n\n* Varying the color along a streamline.\n* Varying the density of streamlines.\n* Varying the line width along a stream line.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\n\nY, X = np.mgrid[-3:3:100j, -3:3:100j]\nU = -1 - X ** 2 + Y\nV = 1 + X - Y ** 2\nspeed = np.sqrt(U * U + V * V)\n\nplt.streamplot(X, Y, U, V, color=U, linewidth=2, cmap=plt.cm.autumn)\nplt.colorbar()\n\nf, (ax1, ax2) = plt.subplots(ncols=2)\nax1.streamplot(X, Y, U, V, density=[0.5, 1])\n\nlw = 5 * speed / speed.max()\nax2.streamplot(X, Y, U, V, density=0.6, color=\"k\", linewidth=lw)\n\nplt.show()"
      ]
    }
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