Kaggle_Weibull_Wind.ipynb

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  "metadata": {
    "colab": {
      "name": "Kaggle_Weibull_Wind.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
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      "cell_type": "code",
      "metadata": {
        "id": "_wWumL8yzm-g",
        "colab_type": "code",
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          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "6b6e4773-41ff-459b-ef80-90fed04a803b"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "#upload the csv file or \n",
        "#!git clone \n",
        "#and locate the csv and change location\n",
        "df=pd.read_csv(\"/content/T1.csv\", engine='python')\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date/Time</th>\n",
              "      <th>LV ActivePower (kW)</th>\n",
              "      <th>Wind Speed (m/s)</th>\n",
              "      <th>Theoretical_Power_Curve (KWh)</th>\n",
              "      <th>Wind Direction (�)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>01 01 2018 00:00</td>\n",
              "      <td>380.047790</td>\n",
              "      <td>5.311336</td>\n",
              "      <td>416.328908</td>\n",
              "      <td>259.994904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>01 01 2018 00:10</td>\n",
              "      <td>453.769196</td>\n",
              "      <td>5.672167</td>\n",
              "      <td>519.917511</td>\n",
              "      <td>268.641113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>01 01 2018 00:20</td>\n",
              "      <td>306.376587</td>\n",
              "      <td>5.216037</td>\n",
              "      <td>390.900016</td>\n",
              "      <td>272.564789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>01 01 2018 00:30</td>\n",
              "      <td>419.645904</td>\n",
              "      <td>5.659674</td>\n",
              "      <td>516.127569</td>\n",
              "      <td>271.258087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>01 01 2018 00:40</td>\n",
              "      <td>380.650696</td>\n",
              "      <td>5.577941</td>\n",
              "      <td>491.702972</td>\n",
              "      <td>265.674286</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "          Date/Time  ...  Wind Direction (�)\n",
              "0  01 01 2018 00:00  ...          259.994904\n",
              "1  01 01 2018 00:10  ...          268.641113\n",
              "2  01 01 2018 00:20  ...          272.564789\n",
              "3  01 01 2018 00:30  ...          271.258087\n",
              "4  01 01 2018 00:40  ...          265.674286\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nOp3cFPv0YsA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "lst=df[\"Wind Speed (m/s)\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lzxcluZY10-M",
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          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "outputId": "6da14669-ef05-4383-9fb3-d18a63b36d5b"
      },
      "source": [
        "lst"
      ],
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         5.311336\n",
              "1         5.672167\n",
              "2         5.216037\n",
              "3         5.659674\n",
              "4         5.577941\n",
              "           ...    \n",
              "50525    11.404030\n",
              "50526     7.332648\n",
              "50527     8.435358\n",
              "50528     9.421366\n",
              "50529     9.979332\n",
              "Name: Wind Speed (m/s), Length: 50530, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "290oM4jf14z8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "ee9954bc-2ff3-4876-b4ea-b3af1dccc55a"
      },
      "source": [
        "max(lst)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "25.20601082"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "gQQQYL0C2Ica",
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          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "d8951b8d-1748-4320-a773-f17634697481"
      },
      "source": [
        "min(lst)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.0"
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          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_KzsS_wt2Kiq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "80c221f6-ee87-4cdb-872c-b230b3a2bdbe"
      },
      "source": [
        "lst=list(df[\"Wind Speed (m/s)\"])\n",
        "\n",
        "# Python program to get average of a list \n",
        "def Average(lst): \n",
        "\treturn sum(lst) / len(lst) \n",
        "\n",
        "# Driver Code \n",
        "average = Average(lst) \n",
        "\n",
        "# Printing average of the list \n",
        "print(\"Average of the list =\", round(average, 2)) \n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Average of the list = 7.56\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "goH1zRv63Pfs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "for i in range(len(lst)):\n",
        "  lst[i]=round(lst[i],0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZR0JZXQW3cKT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "f80fdf44-a1da-4948-ec71-9f8da4ad0d74"
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      "source": [
        "lst"
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      "execution_count": null,
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              " ...]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IcxZsU9t2rfE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "0447d5a4-caed-472e-8b5c-b40b9b2888d4"
      },
      "source": [
        "# Python program to count the frequency of  \n",
        "# elements in a list using a dictionary \n",
        "  \n",
        "def CountFrequency(my_list): \n",
        "  \n",
        "    # Creating an empty dictionary  \n",
        "    freq = {} \n",
        "    for item in my_list: \n",
        "        if (item in freq): \n",
        "            freq[item] += 1\n",
        "        else: \n",
        "            freq[item] = 1\n",
        "  \n",
        "    for key, value in freq.items(): \n",
        "        print (\"% d : % d\"%(key, value))\n",
        "\n",
        "    return freq \n",
        "f=CountFrequency(lst)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 5 :  3815\n",
            " 6 :  4643\n",
            " 7 :  4863\n",
            " 8 :  4411\n",
            " 4 :  3961\n",
            " 3 :  4313\n",
            " 9 :  3695\n",
            " 10 :  3291\n",
            " 11 :  2964\n",
            " 12 :  2451\n",
            " 13 :  1978\n",
            " 14 :  1271\n",
            " 15 :  943\n",
            " 16 :  690\n",
            " 2 :  3595\n",
            " 1 :  1866\n",
            " 0 :  121\n",
            " 17 :  464\n",
            " 18 :  428\n",
            " 19 :  357\n",
            " 20 :  232\n",
            " 22 :  31\n",
            " 21 :  102\n",
            " 23 :  29\n",
            " 24 :  14\n",
            " 25 :  2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VZWfQlcs4pOt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jExnYFuk3l79",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "abe438d6-115c-4c8f-c93f-30483f04ef80"
      },
      "source": [
        "dictionary_items = f.items()\n",
        "sorted_items = sorted(dictionary_items)\n",
        "sorted_items"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.0, 121),\n",
              " (1.0, 1866),\n",
              " (2.0, 3595),\n",
              " (3.0, 4313),\n",
              " (4.0, 3961),\n",
              " (5.0, 3815),\n",
              " (6.0, 4643),\n",
              " (7.0, 4863),\n",
              " (8.0, 4411),\n",
              " (9.0, 3695),\n",
              " (10.0, 3291),\n",
              " (11.0, 2964),\n",
              " (12.0, 2451),\n",
              " (13.0, 1978),\n",
              " (14.0, 1271),\n",
              " (15.0, 943),\n",
              " (16.0, 690),\n",
              " (17.0, 464),\n",
              " (18.0, 428),\n",
              " (19.0, 357),\n",
              " (20.0, 232),\n",
              " (21.0, 102),\n",
              " (22.0, 31),\n",
              " (23.0, 29),\n",
              " (24.0, 14),\n",
              " (25.0, 2)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m2zQruct4wA_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "5b7b96de-1848-46e0-8ca1-a515202a82e6"
      },
      "source": [
        "#x wind speed\n",
        "#y frequency\n",
        "x=[]\n",
        "y=[]\n",
        "for each in sorted_items:\n",
        "  print(each)\n",
        "  x.append(each[0])\n",
        "  y.append(each[1])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(0.0, 121)\n",
            "(1.0, 1866)\n",
            "(2.0, 3595)\n",
            "(3.0, 4313)\n",
            "(4.0, 3961)\n",
            "(5.0, 3815)\n",
            "(6.0, 4643)\n",
            "(7.0, 4863)\n",
            "(8.0, 4411)\n",
            "(9.0, 3695)\n",
            "(10.0, 3291)\n",
            "(11.0, 2964)\n",
            "(12.0, 2451)\n",
            "(13.0, 1978)\n",
            "(14.0, 1271)\n",
            "(15.0, 943)\n",
            "(16.0, 690)\n",
            "(17.0, 464)\n",
            "(18.0, 428)\n",
            "(19.0, 357)\n",
            "(20.0, 232)\n",
            "(21.0, 102)\n",
            "(22.0, 31)\n",
            "(23.0, 29)\n",
            "(24.0, 14)\n",
            "(25.0, 2)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ouv3Ku_H49aP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "8721d1bc-fc31-4348-a2dd-b76f87ff9b7a"
      },
      "source": [
        "x"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.0,\n",
              " 1.0,\n",
              " 2.0,\n",
              " 3.0,\n",
              " 4.0,\n",
              " 5.0,\n",
              " 6.0,\n",
              " 7.0,\n",
              " 8.0,\n",
              " 9.0,\n",
              " 10.0,\n",
              " 11.0,\n",
              " 12.0,\n",
              " 13.0,\n",
              " 14.0,\n",
              " 15.0,\n",
              " 16.0,\n",
              " 17.0,\n",
              " 18.0,\n",
              " 19.0,\n",
              " 20.0,\n",
              " 21.0,\n",
              " 22.0,\n",
              " 23.0,\n",
              " 24.0,\n",
              " 25.0]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ucs2wSDB5UAA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "outputId": "97051ad5-8f5e-4c8d-e148-c1f0e8c15cd6"
      },
      "source": [
        "y"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[121,\n",
              " 1866,\n",
              " 3595,\n",
              " 4313,\n",
              " 3961,\n",
              " 3815,\n",
              " 4643,\n",
              " 4863,\n",
              " 4411,\n",
              " 3695,\n",
              " 3291,\n",
              " 2964,\n",
              " 2451,\n",
              " 1978,\n",
              " 1271,\n",
              " 943,\n",
              " 690,\n",
              " 464,\n",
              " 428,\n",
              " 357,\n",
              " 232,\n",
              " 102,\n",
              " 31,\n",
              " 29,\n",
              " 14,\n",
              " 2]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T5JHiMgh5UkI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "outputId": "2c89640d-822e-4aed-cf96-591cbf81444a"
      },
      "source": [
        "ybar=np.array(y)/5\n",
        "ybar=ybar/10\n",
        "xbar=np.array(x)\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(20,8))\n",
        "plt.style.use('dark_background')\n",
        "\n",
        "#plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
        "plt.rcParams[\"font.size\"] = \"16\"\n",
        "\n",
        "plt.title('Actual Distribution of Wind Speed in a Practical Scenario', fontsize=30)\n",
        "plt.grid(False)\n",
        "\n",
        "from scipy.interpolate import make_interp_spline, BSpline\n",
        "T,power=xbar,ybar\n",
        "# 300 represents number of points to make between T.min and T.max\n",
        "xnew = np.linspace(T.min(), T.max(), 300) \n",
        "\n",
        "spl = make_interp_spline(T, power, k=3)  # type: BSpline\n",
        "power_smooth = spl(xnew)\n",
        "\n",
        "plt.plot(xnew, power_smooth,color=\"w\")\n",
        "#plt.show()\n",
        "\n",
        "#plt.plot(xbar, ybar)\n",
        "#plt.hist(x, bins=np.linspace(0, 16, 33), normed=True, alpha=0.5);\n",
        "width=0.8\n",
        "bar1=plt.bar(xbar, ybar, width,color=\"y\")\n",
        "for rect,val in zip(bar1,ybar):\n",
        "    height = rect.get_height()\n",
        "    #print(val)\n",
        "    if(val==0):\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.01, str(\"-\"), ha='center', va='bottom',fontsize=20)\n",
        "    else:\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+2, str(int(round(val,0))), ha='center', va='bottom',fontsize=12)\n",
        "#plt.xticks(np.arange(25) + width , list(range(25)))\n",
        "plt.rcParams['xtick.labelsize']=16\n",
        "plt.rcParams['ytick.labelsize']=16\n",
        "\n",
        "\n",
        "plt.xlabel('Wind Speed(m/s)', fontsize=18)\n",
        "plt.ylabel('Frequency[%]', fontsize=18)\n",
        "\n",
        "\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PCXjtWhiCxMM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 508
        },
        "outputId": "fee81876-0002-4a90-91f1-81b0df594e24"
      },
      "source": [
        "def percentage(y):\n",
        "  #print(y)\n",
        "  tot=y.sum()\n",
        "  #print(tot)\n",
        "  y=y/tot\n",
        "  return y*100\n",
        "\n",
        "ybar=percentage(np.array(y))\n",
        "#print(ybar)\n",
        "xbar=np.array(x)\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(20,8))\n",
        "plt.style.use('dark_background')\n",
        "\n",
        "#plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
        "plt.rcParams[\"font.size\"] = \"16\"\n",
        "\n",
        "plt.title('Actual Distribution of Wind Speed in a Practical Scenario', fontsize=30)\n",
        "plt.grid(False)\n",
        "\n",
        "from scipy.interpolate import make_interp_spline, BSpline\n",
        "T,power=xbar,ybar\n",
        "# 300 represents number of points to make between T.min and T.max\n",
        "xnew = np.linspace(T.min(), T.max(), 300) \n",
        "\n",
        "spl = make_interp_spline(T, power, k=3)  # type: BSpline\n",
        "power_smooth = spl(xnew)\n",
        "\n",
        "plt.plot(xnew, power_smooth,color=\"w\")\n",
        "#plt.show()\n",
        "\n",
        "#plt.plot(xbar, ybar)\n",
        "#plt.hist(x, bins=np.linspace(0, 16, 33), normed=True, alpha=0.5);\n",
        "width=0.8\n",
        "bar1=plt.bar(xbar, ybar, width,color=\"y\")\n",
        "for rect,val in zip(bar1,ybar):\n",
        "    height = rect.get_height()\n",
        "    #print(val)\n",
        "    if(val==0):\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.01, str(\"-\"), ha='center', va='bottom',fontsize=20)\n",
        "    else:\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.2, str(round(val,1)), ha='center', va='bottom',fontsize=12)\n",
        "#plt.xticks(np.arange(25) + width , list(range(25)))\n",
        "plt.rcParams['xtick.labelsize']=16\n",
        "plt.rcParams['ytick.labelsize']=16\n",
        "\n",
        "\n",
        "plt.xlabel('Wind Speed(m/s)', fontsize=18)\n",
        "plt.ylabel('Frequency[%]', fontsize=18)\n",
        "\n",
        "plt.savefig(\"actual_distribution.png\" ,dpi=100)\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gcLs0ysqJifn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "outputId": "4989979f-ff0a-4f91-fbbb-c89ee332de61"
      },
      "source": [
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#input for pseudo data\n",
        "N = 100\n",
        "Kappa_in = 2.08\n",
        "Lambda_in = 8.97\n",
        "a_in = 1\n",
        "loc_in = 0 \n",
        "\n",
        "#Generate data from given input\n",
        "data = stats.exponweib.rvs(a=a_in,c=Kappa_in, loc=loc_in, scale=Lambda_in, size = N)\n",
        "\n",
        "#The a and loc are fixed in the fit since it is standard to assume they are known\n",
        "a_out, Kappa_out, loc_out, Lambda_out = stats.exponweib.fit(data, f0=a_in,floc=loc_in)\n",
        "\n",
        "#Plot\n",
        "bins = range(25)\n",
        "fig = plt.figure() \n",
        "ax = fig.add_subplot(1, 1, 1)\n",
        "y=stats.exponweib.pdf(bins, a=a_out,c=Kappa_out,loc=loc_out,scale = Lambda_out)\n",
        "ax.plot(bins,y*1000)\n",
        "#ax.hist(data, bins = bins , alpha=0.5)\n",
        "#ax.annotate(\"Shape: $k = %.2f$ \\n Scale: $\\lambda = %.2f$\"%(Kappa_out,Lambda_out), xy=(0.7, 0.85), xycoords=ax.transAxes)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aTlrDO9-NlPU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "outputId": "64a94be7-6f35-4a00-8ab5-6834038fd3c7"
      },
      "source": [
        "def percentage(y):\n",
        "  #print(y)\n",
        "  tot=y.sum()\n",
        "  #print(tot)\n",
        "  y=y/tot\n",
        "  return y*100\n",
        "\n",
        "ybar=percentage(np.array(y))\n",
        "\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#input for pseudo data\n",
        "N = 100\n",
        "Kappa_in = 2.08\n",
        "Lambda_in = 8.97\n",
        "a_in = 1\n",
        "loc_in = 0 \n",
        "\n",
        "#Generate data from given input\n",
        "data = stats.exponweib.rvs(a=a_in,c=Kappa_in, loc=loc_in, scale=Lambda_in, size = N)\n",
        "\n",
        "#The a and loc are fixed in the fit since it is standard to assume they are known\n",
        "a_out, Kappa_out, loc_out, Lambda_out = stats.exponweib.fit(data, f0=a_in,floc=loc_in)\n",
        "\n",
        "#Plot\n",
        "\n",
        "\n",
        "#print(ybar)\n",
        "xbar=np.array(x)\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(20,8))\n",
        "plt.style.use('dark_background')\n",
        "\n",
        "bins = range(25)\n",
        "#fig = plt.figure() \n",
        "#ax = fig.add_subplot(1, 1, 1)\n",
        "yhat=stats.exponweib.pdf(bins, a=a_out,c=Kappa_out,loc=loc_out,scale = Lambda_out)\n",
        "plt.plot(bins,yhat*100, linewidth=4,markersize=12,marker='o',color='green')\n",
        "#ax.hist(data, bins = bins , alpha=0.5)\n",
        "#ax.annotate(\"Shape: $k = %.2f$ \\n Scale: $\\lambda = %.2f$\"%(Kappa_out,Lambda_out), xy=(0.7, 0.85), xycoords=ax.transAxes)\n",
        "#plt.show()\n",
        "\n",
        "\n",
        "#plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
        "plt.rcParams[\"font.size\"] = \"16\"\n",
        "\n",
        "plt.title('Comparitive Distribution of Wind Speed', fontsize=30)\n",
        "plt.grid(False)\n",
        "\n",
        "from scipy.interpolate import make_interp_spline, BSpline\n",
        "T,power=xbar[:-1],ybar\n",
        "print(xbar.shape,ybar.shape)\n",
        "# 300 represents number of points to make between T.min and T.max\n",
        "xnew = np.linspace(T.min(), T.max(), 300) \n",
        "\n",
        "spl = make_interp_spline(T, power, k=3)  # type: BSpline\n",
        "power_smooth = spl(xnew)\n",
        "\n",
        "plt.plot(xnew, power_smooth,color=\"red\" ,linewidth=4,markersize=12,marker='+')\n",
        "#plt.show()\n",
        "\n",
        "#plt.plot(xbar, ybar)\n",
        "#plt.hist(x, bins=np.linspace(0, 16, 33), normed=True, alpha=0.5);\n",
        "width=0.8\n",
        "#bar1=plt.bar(xbar, ybar, width,color=\"y\")\n",
        "\"\"\"\n",
        "for rect,val in zip(bar1,ybar):\n",
        "    height = rect.get_height()\n",
        "    #print(val)\n",
        "    if(val==0):\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.01, str(\"-\"), ha='center', va='bottom',fontsize=20)\n",
        "    else:\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.2, str(round(val,1)), ha='center', va='bottom',fontsize=12)\n",
        "\"\"\"\n",
        "#plt.xticks(np.arange(25) + width , list(range(25)))\n",
        "plt.rcParams['xtick.labelsize']=16\n",
        "plt.rcParams['ytick.labelsize']=16\n",
        "\n",
        "\n",
        "plt.xlabel('Wind Speed(m/s)', fontsize=18)\n",
        "plt.ylabel('Frequency[%]', fontsize=18)\n",
        "\n",
        "plt.savefig(\"new_distribution.png\" ,dpi=100)\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(26,) (25,)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FCwOP4lhP_Wj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        },
        "outputId": "64fdba84-5654-4623-bfd2-e6b8172e8f28"
      },
      "source": [
        "def percentage(y):\n",
        "  #print(y)\n",
        "  tot=y.sum()\n",
        "  #print(tot)\n",
        "  y=y/tot\n",
        "  return y*100\n",
        "\n",
        "ybar=percentage(np.array(y))\n",
        "\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#input for pseudo data\n",
        "N = 100\n",
        "Kappa_in = 2.08\n",
        "Lambda_in = 8.97\n",
        "a_in = 1\n",
        "loc_in = 0 \n",
        "\n",
        "#Generate data from given input\n",
        "data = stats.exponweib.rvs(a=a_in,c=Kappa_in, loc=loc_in, scale=Lambda_in, size = N)\n",
        "\n",
        "#The a and loc are fixed in the fit since it is standard to assume they are known\n",
        "a_out, Kappa_out, loc_out, Lambda_out = stats.exponweib.fit(data, f0=a_in,floc=loc_in)\n",
        "\n",
        "#Plot\n",
        "\n",
        "\n",
        "#print(ybar)\n",
        "xbar=np.array(x)\n",
        "from scipy import stats\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(20,8))\n",
        "plt.style.use('dark_background')\n",
        "\n",
        "bins = range(25)\n",
        "#fig = plt.figure() \n",
        "#ax = fig.add_subplot(1, 1, 1)\n",
        "yhat=stats.exponweib.pdf(bins, a=a_out,c=Kappa_out,loc=loc_out,scale = Lambda_out)\n",
        "plt.plot(bins,yhat*100, linewidth=4,color='chartreuse',label=\"Theoretical Weibull Distribution\")\n",
        "#ax.hist(data, bins = bins , alpha=0.5)\n",
        "#ax.annotate(\"Shape: $k = %.2f$ \\n Scale: $\\lambda = %.2f$\"%(Kappa_out,Lambda_out), xy=(0.7, 0.85), xycoords=ax.transAxes)\n",
        "#plt.show()\n",
        "\n",
        "\n",
        "#plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
        "plt.rcParams[\"font.size\"] = \"16\"\n",
        "\n",
        "plt.title('Comparative Distribution of Wind Speed', fontsize=30)\n",
        "plt.grid(False)\n",
        "\n",
        "from scipy.interpolate import make_interp_spline, BSpline\n",
        "T,power=xbar[:-1],ybar\n",
        "# 300 represents number of points to make between T.min and T.max\n",
        "xnew = np.linspace(T.min(), T.max(), 300) \n",
        "\n",
        "spl = make_interp_spline(T, power, k=3)  # type: BSpline\n",
        "power_smooth = spl(xnew)\n",
        "\n",
        "plt.plot(xnew, power_smooth,color=\"red\" ,linewidth=4,label=\"         Practical Distribution\")\n",
        "#plt.show()\n",
        "\n",
        "#plt.plot(xbar, ybar)\n",
        "#plt.hist(x, bins=np.linspace(0, 16, 33), normed=True, alpha=0.5);\n",
        "width=0.8\n",
        "#bar1=plt.bar(xbar, ybar, width,color=\"y\")\n",
        "\"\"\"\n",
        "for rect,val in zip(bar1,ybar):\n",
        "    height = rect.get_height()\n",
        "    #print(val)\n",
        "    if(val==0):\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.01, str(\"-\"), ha='center', va='bottom',fontsize=20)\n",
        "    else:\n",
        "      plt.text(rect.get_x() + rect.get_width()/2.0, height+0.2, str(round(val,1)), ha='center', va='bottom',fontsize=12)\n",
        "\"\"\"\n",
        "#plt.xticks(np.arange(25) + width , list(range(25)))\n",
        "plt.rcParams['xtick.labelsize']=16\n",
        "plt.rcParams['ytick.labelsize']=16\n",
        "\n",
        "lg=plt.legend(loc='best',title='Distribution Type', prop={'size': 20})\n",
        "lg.get_title().set_fontsize(20)\n",
        "lg._legend_box.align = \"center\"\n",
        "\n",
        "\n",
        "plt.xlabel('Wind Speed(m/s)', fontsize=18)\n",
        "plt.ylabel('Frequency[%]', fontsize=18)\n",
        "\n",
        "plt.savefig(\"new_distribution.png\" ,dpi=100)\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nCHvMqgXFT5y",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "1. Sort data in ascending order\n",
        "2. Assign them a rank, such that the lowest data point is 1, second lowest is 2, etc.\n",
        "3. Assign each data point a probability. For beginners, i recommend (i-0.5)/n, where i and n are rank and sample size, respectively.\n",
        "4. Take natural log of data.\n",
        "5. Calculate ln (-ln (1-P)) for every data, where P is probabiliyy calculated in step 3.\n",
        "6. Linear regression with results of Step 5 as Y and results of Step 4 as X. Altrrnatively, you can fit a trendline in Excel.\n",
        "7. Slope of the regression line is the shape parameter, aka Weibull modulus. The intercept is the negative of the product of shape parameter and natural log of scale parameter."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "krPNSn6_8tvv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from scipy.interpolate import make_interp_spline, BSpline\n",
        "T,power=xbar,ybar\n",
        "# 300 represents number of points to make between T.min and T.max\n",
        "xnew = np.linspace(T.min(), T.max(), 300) \n",
        "\n",
        "spl = make_interp_spline(T, power, k=3)  # type: BSpline\n",
        "power_smooth = spl(xnew)\n",
        "\n",
        "plt.plot(xnew, power_smooth)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "meziZ5OA8t2E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hbrEMvbk8tz1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nGloINam5lRH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#x = np.random.normal(size=100)\n",
        "import seaborn as sns\n",
        "sns.distplot(x);"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-QrqXS4N6sQD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "sns.jointplot(x=x, y=y);"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "guxa3-dP7Bn0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}