Update visualization codes

2021-04-12 15:42:43 +08:00
parent 5f2ba0a8e7
commit c82c7e9f3f
9 changed files with 503 additions and 16 deletions
--- a/notebooks/TOT/ES-Model-DC.ipynb
+++ b/notebooks/TOT/ES-Model-DC.ipynb
@@ -18,10 +18,10 @@
     "name": "stderr",
     "output_type": "stream",
     "text": [
-      "[68147:MainThread](2021-04-12 13:09:24,409) INFO - qlib.Initialization - [config.py:276] - default_conf: client.\n",
-      "[68147:MainThread](2021-04-12 13:09:24,411) WARNING - qlib.Initialization - [config.py:291] - redis connection failed(host=127.0.0.1 port=6379), cache will not be used!\n",
-      "[68147:MainThread](2021-04-12 13:09:24,414) INFO - qlib.Initialization - [__init__.py:46] - qlib successfully initialized based on client settings.\n",
-      "[68147:MainThread](2021-04-12 13:09:24,417) INFO - qlib.Initialization - [__init__.py:47] - data_path=/Users/xuanyidong/.qlib/qlib_data/cn_data\n"
+      "[70148:MainThread](2021-04-12 13:23:30,262) INFO - qlib.Initialization - [config.py:276] - default_conf: client.\n",
+      "[70148:MainThread](2021-04-12 13:23:30,266) WARNING - qlib.Initialization - [config.py:291] - redis connection failed(host=127.0.0.1 port=6379), cache will not be used!\n",
+      "[70148:MainThread](2021-04-12 13:23:30,269) INFO - qlib.Initialization - [__init__.py:46] - qlib successfully initialized based on client settings.\n",
+      "[70148:MainThread](2021-04-12 13:23:30,271) INFO - qlib.Initialization - [__init__.py:47] - data_path=/Users/xuanyidong/.qlib/qlib_data/cn_data\n"
     ]
    }
   ],
@@ -142,7 +142,7 @@
     "name": "stderr",
     "output_type": "stream",
     "text": [
-      "[68147:MainThread](2021-04-12 13:09:25,066) INFO - qlib.workflow - [expm.py:290] - <mlflow.tracking.client.MlflowClient object at 0x7fd449277a30>\n"
+      "[70148:MainThread](2021-04-12 13:23:31,137) INFO - qlib.workflow - [expm.py:290] - <mlflow.tracking.client.MlflowClient object at 0x7f8c4a47efa0>\n"
     ]
    },
    {
@@ -233,6 +233,7 @@
    "            cmap=cm.Spectral, linewidth=0.2, antialiased=True)\n",
    "        cur_ax.set_xticks(raw_depths)\n",
    "        cur_ax.set_yticks(raw_channels)\n",
+    "        cur_ax.set_zticks(np.arange(4, 11, 2))\n",
    "        cur_ax.set_xlabel(\"#depth\", fontsize=LabelSize)\n",
    "        cur_ax.set_ylabel(\"#channels\", fontsize=LabelSize)\n",
    "        cur_ax.set_zlabel(\"{:} IC (%)\".format('training' if train_or_test else 'validation'), fontsize=LabelSize)\n",
--- a/notebooks/TOT/ES-Model-Drop.ipynb
+++ b/notebooks/TOT/ES-Model-Drop.ipynb
@@ -18,10 +18,10 @@
     "name": "stderr",
     "output_type": "stream",
     "text": [
-      "[64660:MainThread](2021-04-11 23:57:38,079) INFO - qlib.Initialization - [config.py:276] - default_conf: client.\n",
-      "[64660:MainThread](2021-04-11 23:57:38,081) WARNING - qlib.Initialization - [config.py:291] - redis connection failed(host=127.0.0.1 port=6379), cache will not be used!\n",
-      "[64660:MainThread](2021-04-11 23:57:38,083) INFO - qlib.Initialization - [__init__.py:46] - qlib successfully initialized based on client settings.\n",
-      "[64660:MainThread](2021-04-11 23:57:38,084) INFO - qlib.Initialization - [__init__.py:47] - data_path=/Users/xuanyidong/.qlib/qlib_data/cn_data\n"
+      "[70363:MainThread](2021-04-12 13:25:01,065) INFO - qlib.Initialization - [config.py:276] - default_conf: client.\n",
+      "[70363:MainThread](2021-04-12 13:25:01,069) WARNING - qlib.Initialization - [config.py:291] - redis connection failed(host=127.0.0.1 port=6379), cache will not be used!\n",
+      "[70363:MainThread](2021-04-12 13:25:01,085) INFO - qlib.Initialization - [__init__.py:46] - qlib successfully initialized based on client settings.\n",
+      "[70363:MainThread](2021-04-12 13:25:01,092) INFO - qlib.Initialization - [__init__.py:47] - data_path=/Users/xuanyidong/.qlib/qlib_data/cn_data\n"
     ]
    }
   ],
@@ -142,7 +142,7 @@
     "name": "stderr",
     "output_type": "stream",
     "text": [
-      "[64660:MainThread](2021-04-11 23:57:38,469) INFO - qlib.workflow - [expm.py:290] - <mlflow.tracking.client.MlflowClient object at 0x7fba2bc7df70>\n"
+      "[70363:MainThread](2021-04-12 13:25:01,647) INFO - qlib.workflow - [expm.py:290] - <mlflow.tracking.client.MlflowClient object at 0x7fa920e56820>\n"
     ]
    },
    {
@@ -182,7 +182,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 8,
   "id": "supreme-basis",
   "metadata": {},
   "outputs": [],
@@ -204,7 +204,7 @@
    "    \n",
    "    dpi, width, height = 200, 4000, 2000\n",
    "    figsize = width / float(dpi), height / float(dpi)\n",
-    "    LabelSize, LegendFontsize = 22, 18\n",
+    "    LabelSize, LegendFontsize = 22, 22\n",
    "    font_gap = 5\n",
    "    colors = ['k', 'r']\n",
    "    markers = ['*', 'o']\n",
@@ -227,6 +227,7 @@
    "            cur_ax.scatter(x_values, y_values,\n",
    "                           marker=markers[idx], s=3, c=colors[idx], alpha=0.9,\n",
    "                           label=legend)\n",
+    "        cur_ax.set_yticks(np.arange(4, 11, 2))\n",
    "        cur_ax.set_xlabel(\"sorted architectures\", fontsize=LabelSize)\n",
    "        cur_ax.set_ylabel(\"{:} IC (%)\".format('training' if train_or_test else 'validation'), fontsize=LabelSize)\n",
    "        for tick in cur_ax.xaxis.get_major_ticks():\n",
@@ -246,7 +247,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 9,
   "id": "shared-envelope",
   "metadata": {},
   "outputs": [
@@ -254,7 +255,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      "{'TSF-8x6', 'TSF-6x6', 'TSF-4x24', 'TSF-3x32', 'TSF-7x6', 'TSF-4x12', 'TSF-2x12', 'TSF-1x24', 'TSF-1x32', 'TSF-6x32', 'TSF-7x48', 'TSF-4x6', 'TSF-5x32', 'TSF-6x24', 'TSF-8x24', 'TSF-5x6', 'TSF-3x24', 'TSF-6x12', 'TSF-3x12', 'TSF-5x64', 'TSF-5x12', 'TSF-7x32', 'TSF-6x48', 'TSF-3x64', 'TSF-5x48', 'TSF-7x24', 'TSF-4x32', 'TSF-4x64', 'TSF-2x64', 'TSF-8x12', 'TSF-7x64', 'TSF-3x6', 'TSF-1x6', 'TSF-8x64', 'TSF-2x6', 'TSF-6x64', 'TSF-7x12', 'TSF-2x24', 'TSF-8x48', 'TSF-1x64', 'TSF-4x48', 'TSF-8x32', 'TSF-2x48', 'TSF-1x12', 'TSF-5x24', 'TSF-3x48', 'TSF-2x32', 'TSF-1x48'}\n",
+      "{'TSF-3x48', 'TSF-2x64', 'TSF-2x12', 'TSF-8x48', 'TSF-6x32', 'TSF-4x48', 'TSF-8x6', 'TSF-4x6', 'TSF-2x32', 'TSF-5x12', 'TSF-5x64', 'TSF-1x64', 'TSF-2x24', 'TSF-8x24', 'TSF-4x12', 'TSF-6x12', 'TSF-1x32', 'TSF-5x32', 'TSF-3x24', 'TSF-8x12', 'TSF-5x48', 'TSF-6x64', 'TSF-7x64', 'TSF-7x48', 'TSF-1x6', 'TSF-2x48', 'TSF-7x24', 'TSF-3x32', 'TSF-1x24', 'TSF-4x64', 'TSF-3x12', 'TSF-8x64', 'TSF-4x32', 'TSF-5x6', 'TSF-7x6', 'TSF-7x12', 'TSF-3x6', 'TSF-4x24', 'TSF-6x48', 'TSF-6x6', 'TSF-1x48', 'TSF-1x12', 'TSF-7x32', 'TSF-5x24', 'TSF-2x6', 'TSF-6x24', 'TSF-3x64', 'TSF-8x32'}\n",
      "The Desktop is at: /Users/xuanyidong/Desktop\n",
      "There are 104 qlib-results\n"
     ]
--- a/notebooks/TOT/Time-Curve.ipynb
+++ b/notebooks/TOT/Time-Curve.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "afraid-minutes",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The root path: /Users/xuanyidong/Desktop/AutoDL-Projects\n",
+      "The library path: /Users/xuanyidong/Desktop/AutoDL-Projects/lib\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import re\n",
+    "import sys\n",
+    "import torch\n",
+    "import pprint\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "from scipy.interpolate import make_interp_spline\n",
+    "\n",
+    "__file__ = os.path.dirname(os.path.realpath(\"__file__\"))\n",
+    "root_dir = (Path(__file__).parent / \"..\").resolve()\n",
+    "lib_dir = (root_dir / \"lib\").resolve()\n",
+    "print(\"The root path: {:}\".format(root_dir))\n",
+    "print(\"The library path: {:}\".format(lib_dir))\n",
+    "assert lib_dir.exists(), \"{:} does not exist\".format(lib_dir)\n",
+    "if str(lib_dir) not in sys.path:\n",
+    "    sys.path.insert(0, str(lib_dir))\n",
+    "from utils.qlib_utils import QResult"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "continental-drain",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TSF-2x24-drop0_0s2013-01-01\n",
+      "TSF-2x24-drop0_0s2012-01-01\n",
+      "TSF-2x24-drop0_0s2008-01-01\n",
+      "TSF-2x24-drop0_0s2009-01-01\n",
+      "TSF-2x24-drop0_0s2010-01-01\n",
+      "TSF-2x24-drop0_0s2011-01-01\n",
+      "TSF-2x24-drop0_0s2008-07-01\n",
+      "TSF-2x24-drop0_0s2009-07-01\n",
+      "There are 3011 dates\n",
+      "Dates: 2008-01-02 2008-01-03\n"
+     ]
+    }
+   ],
+   "source": [
+    "qresults = torch.load(os.path.join(root_dir, 'notebooks', 'TOT', 'temp-time-x.pth'))\n",
+    "for qresult in qresults:\n",
+    "    print(qresult.name)\n",
+    "all_dates = set()\n",
+    "for qresult in qresults:\n",
+    "    dates = qresult.find_all_dates()\n",
+    "    for date in dates:\n",
+    "        all_dates.add(date)\n",
+    "all_dates = sorted(list(all_dates))\n",
+    "print('There are {:} dates'.format(len(all_dates)))\n",
+    "print('Dates: {:} {:}'.format(all_dates[0], all_dates[1]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "intimate-approval",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "from matplotlib import cm\n",
+    "matplotlib.use(\"agg\")\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.ticker as ticker"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "supreme-basis",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def vis_time_curve(qresults, dates, use_original, save_path):\n",
+    "    save_dir = (save_path / '..').resolve()\n",
+    "    save_dir.mkdir(parents=True, exist_ok=True)\n",
+    "    print('There are {:} qlib-results'.format(len(qresults)))\n",
+    "    \n",
+    "    dpi, width, height = 200, 5000, 2000\n",
+    "    figsize = width / float(dpi), height / float(dpi)\n",
+    "    LabelSize, LegendFontsize = 22, 12\n",
+    "    font_gap = 5\n",
+    "    linestyles = ['-', '--']\n",
+    "    colors = ['k', 'r']\n",
+    "    \n",
+    "    fig = plt.figure(figsize=figsize)\n",
+    "    cur_ax = fig.add_subplot(1, 1, 1)\n",
+    "    for idx, qresult in enumerate(qresults):\n",
+    "        print('Visualize [{:}] -- {:}'.format(idx, qresult.name))\n",
+    "        x_axis, y_axis = [], []\n",
+    "        for idate, date in enumerate(dates):\n",
+    "            if date in qresult._date2ICs[-1]:\n",
+    "                mean, std = qresult.get_IC_by_date(date, 100)\n",
+    "                if not np.isnan(mean):\n",
+    "                    x_axis.append(idate)\n",
+    "                    y_axis.append(mean)\n",
+    "        x_axis, y_axis = np.array(x_axis), np.array(y_axis)\n",
+    "        if use_original:\n",
+    "            cur_ax.plot(x_axis, y_axis, linewidth=1, color=colors[idx], linestyle=linestyles[idx])\n",
+    "        else:\n",
+    "            xnew = np.linspace(x_axis.min(), x_axis.max(), 200)\n",
+    "            spl = make_interp_spline(x_axis, y_axis, k=5)\n",
+    "            ynew = spl(xnew)\n",
+    "            cur_ax.plot(xnew, ynew, linewidth=2, color=colors[idx], linestyle=linestyles[idx])\n",
+    "        \n",
+    "    for tick in cur_ax.xaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "    for tick in cur_ax.yaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "    cur_ax.set_ylabel(\"IC (%)\", fontsize=LabelSize)\n",
+    "    fig.savefig(save_path, dpi=dpi, bbox_inches=\"tight\", format=\"pdf\")\n",
+    "    plt.close(\"all\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "shared-envelope",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The Desktop is at: /Users/xuanyidong/Desktop\n",
+      "There are 2 qlib-results\n",
+      "Visualize [0] -- TSF-2x24-drop0_0s2008-01-01\n",
+      "Visualize [1] -- TSF-2x24-drop0_0s2009-07-01\n",
+      "There are 2 qlib-results\n",
+      "Visualize [0] -- TSF-2x24-drop0_0s2008-01-01\n",
+      "Visualize [1] -- TSF-2x24-drop0_0s2009-07-01\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Visualization\n",
+    "home_dir = Path.home()\n",
+    "desktop_dir = home_dir / 'Desktop'\n",
+    "print('The Desktop is at: {:}'.format(desktop_dir))\n",
+    "\n",
+    "vis_time_curve(\n",
+    "    (qresults[2], qresults[-1]),\n",
+    "    all_dates,\n",
+    "    True,\n",
+    "    desktop_dir / 'es_csi300_time_curve.pdf')\n",
+    "\n",
+    "vis_time_curve(\n",
+    "    (qresults[2], qresults[-1]),\n",
+    "    all_dates,\n",
+    "    False,\n",
+    "    desktop_dir / 'es_csi300_time_curve-inter.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "exempt-stable",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--- a/notebooks/TOT/synthetic.ipynb
+++ b/notebooks/TOT/synthetic.ipynb
@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "filled-multiple",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#\n",
+    "# %matplotlib notebook\n",
+    "from pathlib import Path\n",
+    "import numpy as np\n",
+    "import matplotlib\n",
+    "from matplotlib import cm\n",
+    "matplotlib.use(\"agg\")\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.ticker as ticker"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "supreme-basis",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def visualize_syn(save_path):\n",
+    "    save_dir = (save_path / '..').resolve()\n",
+    "    save_dir.mkdir(parents=True, exist_ok=True)\n",
+    "    \n",
+    "    dpi, width, height = 50, 2000, 1000\n",
+    "    figsize = width / float(dpi), height / float(dpi)\n",
+    "    LabelSize, font_gap = 30, 4\n",
+    "    \n",
+    "    fig = plt.figure(figsize=figsize)\n",
+    "    \n",
+    "    times = np.arange(0, np.pi * 100, 0.1)\n",
+    "    num = len(times)\n",
+    "    x = []\n",
+    "    for i in range(num):\n",
+    "        scale = (i + 1.) / num * 4\n",
+    "        value = times[i] * scale\n",
+    "        x.append(np.sin(value) * (1.3 - scale))\n",
+    "    x = np.array(x)\n",
+    "    y = np.cos( x * x - 0.3 * x )\n",
+    "    \n",
+    "    cur_ax = fig.add_subplot(2, 1, 1)\n",
+    "    cur_ax.plot(times, x)\n",
+    "    cur_ax.set_xlabel(\"time\", fontsize=LabelSize)\n",
+    "    cur_ax.set_ylabel(\"x\", fontsize=LabelSize)\n",
+    "    for tick in cur_ax.xaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "        tick.label.set_rotation(30)\n",
+    "    for tick in cur_ax.yaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "        \n",
+    "    \n",
+    "    cur_ax = fig.add_subplot(2, 1, 2)\n",
+    "    cur_ax.plot(times, y)\n",
+    "    cur_ax.set_xlabel(\"time\", fontsize=LabelSize)\n",
+    "    cur_ax.set_ylabel(\"f(x)\", fontsize=LabelSize)\n",
+    "    for tick in cur_ax.xaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "        tick.label.set_rotation(30)\n",
+    "    for tick in cur_ax.yaxis.get_major_ticks():\n",
+    "        tick.label.set_fontsize(LabelSize - font_gap)\n",
+    "        \n",
+    "    # fig.tight_layout()\n",
+    "    # plt.subplots_adjust(wspace=0.05)#, hspace=0.4)\n",
+    "    fig.savefig(save_path, dpi=dpi, bbox_inches=\"tight\", format=\"pdf\")\n",
+    "    plt.close(\"all\")\n",
+    "    # plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "shared-envelope",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The Desktop is at: /Users/xuanyidong/Desktop\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Visualization\n",
+    "home_dir = Path.home()\n",
+    "desktop_dir = home_dir / 'Desktop'\n",
+    "print('The Desktop is at: {:}'.format(desktop_dir))\n",
+    "visualize_syn(desktop_dir / 'tot-synthetic-v0.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "romantic-ordinance",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--- a/notebooks/TOT/time-curve.py
+++ b/notebooks/TOT/time-curve.py
@@ -0,0 +1,123 @@
+import os
+import re
+import sys
+import torch
+import qlib
+import pprint
+from collections import OrderedDict
+import numpy as np
+import pandas as pd
+
+from pathlib import Path
+
+# __file__ = os.path.dirname(os.path.realpath("__file__"))
+note_dir = Path(__file__).parent.resolve()
+root_dir = (Path(__file__).parent / ".." / "..").resolve()
+lib_dir = (root_dir / "lib").resolve()
+print("The root path: {:}".format(root_dir))
+print("The library path: {:}".format(lib_dir))
+assert lib_dir.exists(), "{:} does not exist".format(lib_dir)
+if str(lib_dir) not in sys.path:
+    sys.path.insert(0, str(lib_dir))
+
+import qlib
+from qlib import config as qconfig
+from qlib.workflow import R
+qlib.init(provider_uri='~/.qlib/qlib_data/cn_data', region=qconfig.REG_CN)
+
+from utils.qlib_utils import QResult
+
+def filter_finished(recorders):
+    returned_recorders = dict()
+    not_finished = 0
+    for key, recorder in recorders.items():
+        if recorder.status == "FINISHED":
+            returned_recorders[key] = recorder
+        else:
+            not_finished += 1
+    return returned_recorders, not_finished
+
+
+def add_to_dict(xdict, timestamp, value):
+    date = timestamp.date().strftime("%Y-%m-%d")
+    if date in xdict:
+      raise ValueError("This date [{:}] is already in the dict".format(date))
+    xdict[date] = value
+
+def query_info(save_dir, verbose, name_filter, key_map):
+    if isinstance(save_dir, list):
+        results = []
+        for x in save_dir:
+            x = query_info(x, verbose, name_filter, key_map)
+            results.extend(x)
+        return results
+    # Here, the save_dir must be a string
+    R.set_uri(str(save_dir))
+    experiments = R.list_experiments()
+
+    if verbose:
+        print("There are {:} experiments.".format(len(experiments)))
+    qresults = []
+    for idx, (key, experiment) in enumerate(experiments.items()):
+        if experiment.id == "0":
+            continue
+        if name_filter is not None and re.fullmatch(name_filter, experiment.name) is None:
+            continue
+        recorders = experiment.list_recorders()
+        recorders, not_finished = filter_finished(recorders)
+        if verbose:
+            print(
+                "====>>>> {:02d}/{:02d}-th experiment {:9s} has {:02d}/{:02d} finished recorders.".format(
+                    idx + 1,
+                    len(experiments),
+                    experiment.name,
+                    len(recorders),
+                    len(recorders) + not_finished,
+                )
+            )
+        result = QResult(experiment.name)
+        for recorder_id, recorder in recorders.items():
+            file_names = ['results-train.pkl', 'results-valid.pkl', 'results-test.pkl']
+            date2IC = OrderedDict()
+            for file_name in file_names:
+                xtemp = recorder.load_object(file_name)['all-IC']
+                timestamps, values = xtemp.index.tolist(), xtemp.tolist()
+                for timestamp, value in zip(timestamps, values):
+                    add_to_dict(date2IC, timestamp, value)
+            result.update(recorder.list_metrics(), key_map)
+            result.append_path(
+                os.path.join(recorder.uri, recorder.experiment_id, recorder.id)
+            )
+            result.append_date2ICs(date2IC)
+        if not len(result):
+            print("There are no valid recorders for {:}".format(experiment))
+            continue
+        else:
+            if verbose:
+                print(
+                    "There are {:} valid recorders for {:}".format(
+                        len(recorders), experiment.name
+                    )
+                )
+        qresults.append(result)
+    return qresults
+
+
+##
+paths = [root_dir / 'outputs' / 'qlib-baselines-csi300']
+paths = [path.resolve() for path in paths]
+print(paths)
+
+key_map = dict()
+for xset in ("train", "valid", "test"):
+    key_map["{:}-mean-IC".format(xset)] = "IC ({:})".format(xset)
+    key_map["{:}-mean-ICIR".format(xset)] = "ICIR ({:})".format(xset)
+qresults = query_info(paths, False, 'TSF-2x24-drop0_0s.*-.*-01', key_map)
+print('Find {:} results'.format(len(qresults)))
+times = []
+for qresult in qresults:
+    times.append(qresult.name.split('0_0s')[-1])
+print(times)
+save_path = os.path.join(note_dir, 'temp-time-x.pth')
+torch.save(qresults, save_path)
+print(save_path)