converting datetime to str

notebooks/invalid_markets.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -245,7 +245,7 @@
        "4    2024-05-24            64           3"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -255,6 +255,100 @@
     "daily_invalid_markets.head()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 42 entries, 0 to 41\n",
+      "Data columns (total 3 columns):\n",
+      " #   Column         Non-Null Count  Dtype \n",
+      "---  ------         --------------  ----- \n",
+      " 0   creation_date  42 non-null     object\n",
+      " 1   trades_count   42 non-null     int64 \n",
+      " 2   nr_markets     42 non-null     int64 \n",
+      "dtypes: int64(2), object(1)\n",
+      "memory usage: 1.1+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "daily_invalid_markets.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.date(2024, 5, 20)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_invalid_markets.iloc[0].creation_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 42 entries, 0 to 41\n",
+      "Data columns (total 3 columns):\n",
+      " #   Column         Non-Null Count  Dtype \n",
+      "---  ------         --------------  ----- \n",
+      " 0   creation_date  42 non-null     object\n",
+      " 1   trades_count   42 non-null     int64 \n",
+      " 2   nr_markets     42 non-null     int64 \n",
+      "dtypes: int64(2), object(1)\n",
+      "memory usage: 1.1+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "daily_invalid_markets[\"creation_date\"] = daily_invalid_markets[\"creation_date\"].astype(str)\n",
+    "daily_invalid_markets.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2024-05-20'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_invalid_markets.iloc[0].creation_date"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 27,

tabs/invalid_markets.py

@@ -28,7 +28,11 @@ def plot_daily_nr_invalid_markets(invalid_trades: pd.DataFrame):
         .agg(trades_count=("title", "count"), nr_markets=("title", "nunique"))
         .reset_index()
     )
+    daily_invalid_markets["creation_date"] = daily_invalid_markets[
+        "creation_date"
+    ].astype(str)
     daily_invalid_markets.columns = daily_invalid_markets.columns.astype(str)
+
     return gr.LinePlot(
         value=daily_invalid_markets,
         x="creation_date",