X-Git-Url: https://us-delaporte.pagekite.me/gitweb/dotfiles.git/blobdiff_plain/ac202236f525135adec8fa272fcf919ed0b871f8..39aa091f5951f7dde7ae65831749d9c5d03b8b51:/data/issues.ipynb

diff --git a/data/issues.ipynb b/data/issues.ipynb
index 735326e..011beec 100644
--- a/data/issues.ipynb
+++ b/data/issues.ipynb
@@ -2,7 +2,17 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import platform\n",
+    "print(platform.python_version())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,24 +35,6 @@
     "\tprint(f\"{file}\", os.path.getsize(file))\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.12.2\n"
-     ]
-    }
-   ],
-   "source": [
-    "import platform\n",
-    "print(platform.python_version())"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -53,30 +45,13 @@
     "\n",
     "data_sets = []\n",
     "\n",
-    "file = data_files[6]\n",
+    "file = data_files[2]\n",
     "print(file)\n",
     "\n",
-    "f = open(file, encoding='utf-16')\n",
+    "f = open(file, encoding='utf-8')\n",
     "df = pd.read_json(f)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas._libs.tslibs.timestamps.Timestamp'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(type(df.closed[0]))"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -93,23 +68,15 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "print(df.milestone[22].get('title'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "closed_months = pd.to_datetime(df['closedAt'], format='ISO8601')\n",
-    "df['closed_month'] = closed_months.dt.month"
+    "df['closed_month'] = closed_months.dt.month\n",
+    "df.drop(columns=['closedAt'], inplace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,21 +85,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for_plot = df.groupby(df.closed.dt.month)['url'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "\n",
-    "grp_df = df.groupby(['mile', 'closed_month']).count().reset_index()"
+    "dfg = df.groupby(['mile', 'closed_month']).count().reset_index()\n",
+    "dfg.drop(columns=['milestone', 'title', 'url'], inplace=True)\n"
    ]
   },
   {
@@ -141,28 +100,33 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "print(grp_df)"
+    "\n",
+    "print(dfg)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Plot of closed issues by month for one project\n"
+    "#### Plot of closed issues by month and milestone for one project\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
-    "for_plot.plot(kind='bar')"
+    "exclude_from_chart = [\n",
+    "\t'Job Aid Ideas']\n",
+    "\n",
+    "for ex in exclude_from_chart:\n",
+    "\tdfg = dfg[dfg['mile'] != ex]\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,7 +142,7 @@
    "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 6))\n",
-    "sns.lineplot(x='closed_month', y='url', hue='mile', data=grp_df, marker='o', ci=None)\n",
+    "sns.barplot(x='closed_month', y='count', hue='mile', data=dfg)\n",
     "plt.xlabel('Closed Month')\n",
     "plt.ylabel('ClosedAt')\n",
     "plt.title('Stacked Line Chart: Milestone Effort by Issue Close Date')\n",