Messing with quick keys and zen mode

[dotfiles.git] / data / issues.ipynb

diff --git a/data/issues.ipynb b/data/issues.ipynb
index 7b7f1beab3c807dd91a58881b2290d99bdbb5ba1..d718bbf59dc66633e5fe24c07d1b99e11042584b 100644 (file)
--- a/data/issues.ipynb
+++ b/data/issues.ipynb
@@ -4,20 +4,36 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "import platform\n",
     "import matplotlib.pyplot as plt\n",
     "print(platform.python_version())"
    ]
   },
    "source": [
     "import platform\n",
     "import matplotlib.pyplot as plt\n",
     "print(platform.python_version())"
    ]
   },

+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },

   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# Todo List\n",
     "\n",
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# Todo List\n",
     "\n",

-    "- [ ] trim each chart to just a single, selected year\n",
+    "- [x] add calculated year to the metadata\n",

     "- [ ] make one chart per year\n",
     "- [x] make sure all the data files are getting loaded"
    ]
     "- [ ] make one chart per year\n",
     "- [x] make sure all the data files are getting loaded"
    ]


@@ -26,32 +42,46 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "# Get ye data\n",
     "import glob\n",
     "import os\n",
     "\n",
    "source": [
     "# Get ye data\n",
     "import glob\n",
     "import os\n",
     "\n",

-    "data_files = glob.glob(os.path.expanduser('~\\\\Data\\\\*.json'))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
+    "data_files = glob.glob(os.path.expanduser('~\\\\Data\\\\*.json'))\n",

     "\n",
     "for file in data_files:\n",
     "\n",
     "for file in data_files:\n",

-    "\tprint(f\"{file}\", os.path.getsize(file))\n"
+    "\tprint(f\"{file}\", os.path.getsize(file))\n",
+    "\n"

    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "import pandas as pd\n",
     "\n",
    "source": [
     "import pandas as pd\n",
     "\n",


@@ -69,7 +99,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "import numpy as np\n",
     "df['count'] = np.zeros(len(df))\n",
    "source": [
     "import numpy as np\n",
     "df['count'] = np.zeros(len(df))\n",


@@ -87,14 +128,45 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
    "source": [

+    "\n",

     "dfp = df\n",
     "dfp = df\n",

-    "dfp['mile'] = [d.get('title') if d else None for d in dfp.milestone]\n",
+    "# dfp['mile'] = [m.get('title') if m else None for m in dfp.milestone]\n",
+    "dfp['mile'] = [m.get('title') if hasattr(m, 'get') else None for m in dfp['milestone']]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],
+   "source": [

     "closed_dates = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
     "dfp['year'] = closed_dates.dt.year\n",
     "\n",
     "closed_dates = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
     "dfp['year'] = closed_dates.dt.year\n",
     "\n",

-    "# TODO: Split by YEAR before dropping 'closedAt'\n",

     "dfp.drop(columns=['closedAt','milestone', 'url'], inplace=True)\n",
     "print(dfp)"
    ]
     "dfp.drop(columns=['closedAt','milestone', 'url'], inplace=True)\n",
     "print(dfp)"
    ]


@@ -103,7 +175,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "\n",
     "mile_counts = dfp.groupby('mile')['title'].nunique()\n",
    "source": [
     "\n",
     "mile_counts = dfp.groupby('mile')['title'].nunique()\n",


@@ -119,7 +202,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "mile_counts = df.groupby('mile')['count'].sum()\n",
     "mile_counts = mile_counts.loc[lambda x: x > 5]\n",
    "source": [
     "mile_counts = df.groupby('mile')['count'].sum()\n",
     "mile_counts = mile_counts.loc[lambda x: x > 5]\n",


@@ -132,7 +226,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "\n",
     "plt.pie(mile_counts, labels=mile_counts.index, autopct='%0.1f%%')\n",
    "source": [
     "\n",
     "plt.pie(mile_counts, labels=mile_counts.index, autopct='%0.1f%%')\n",


@@ -145,7 +250,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "type(mile_counts)"
    ]
    "source": [
     "type(mile_counts)"
    ]


@@ -161,7 +277,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "closed_months = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
     "df['closed_month'] = closed_months.dt.month\n",
    "source": [
     "closed_months = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
     "df['closed_month'] = closed_months.dt.month\n",


@@ -172,7 +299,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "df['mile'] = [d.get('title') if d else None for d in df.milestone]"
    ]
    "source": [
     "df['mile'] = [d.get('title') if d else None for d in df.milestone]"
    ]


@@ -181,7 +319,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "\n",
     "dfg = df.groupby(['mile', 'closed_month']).count().reset_index()\n",
    "source": [
     "\n",
     "dfg = df.groupby(['mile', 'closed_month']).count().reset_index()\n",


@@ -192,7 +341,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "exclude_from_chart = [\n",
     "\t'Job Aid Ideas']\n",
    "source": [
     "exclude_from_chart = [\n",
     "\t'Job Aid Ideas']\n",


@@ -205,7 +365,18 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},

-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with '/bin/python3' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: '/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
+     ]
+    }
+   ],

    "source": [
     "import seaborn as sns\n",
     "import matplotlib.pyplot as plt\n",
    "source": [
     "import seaborn as sns\n",
     "import matplotlib.pyplot as plt\n",


@@ -246,7 +417,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",

-   "version": "3.12.2"
+   "version": "3.8.10"

   }
  },
  "nbformat": 4,
   }
  },
  "nbformat": 4,