From 8d212a3a00cc3705c54757d37df7c6798e6bc296 Mon Sep 17 00:00:00 2001
From: Roman Manasipov <110097955+romanmanasipov@users.noreply.github.com>
Date: Sat, 14 Sep 2024 11:18:58 +0200
Subject: [PATCH] blob storage tests (#17)

* save DataFrame to csv and excel

* added test for saving and loading files

* formatting
---
 .../files_and_python_objects_storage.ipynb    | 780 +++++++++---------
 tests/test_files.py                           |  66 ++
 tests/test_reference_tables.py                |   1 -
 tests/test_units.py                           |   1 -
 4 files changed, 469 insertions(+), 379 deletions(-)
 create mode 100644 tests/test_files.py

diff --git a/examples/files_and_python_objects_storage.ipynb b/examples/files_and_python_objects_storage.ipynb
index a04b017..3761f32 100755
--- a/examples/files_and_python_objects_storage.ipynb
+++ b/examples/files_and_python_objects_storage.ipynb
@@ -278,7 +278,7 @@
       "text/plain": [
        "{'FileName': 'text_file.txt',\n",
        " 'FileSize': 108,\n",
-       " 'LastModified': '2024-09-14T06:27:24+00:00'}"
+       " 'LastModified': '2024-09-14T08:24:36+00:00'}"
       ]
      },
      "execution_count": 7,
@@ -373,7 +373,7 @@
       "text/plain": [
        "{'FileName': 'text_file_inside_folder.txt',\n",
        " 'FileSize': 153,\n",
-       " 'LastModified': '2024-09-14T06:27:25+00:00'}"
+       " 'LastModified': '2024-09-14T08:24:37+00:00'}"
       ]
      },
      "execution_count": 12,
@@ -495,7 +495,7 @@
       "text/plain": [
        "{'FileName': 'json_file.txt',\n",
        " 'FileSize': 106,\n",
-       " 'LastModified': '2024-09-14T06:27:25+00:00'}"
+       " 'LastModified': '2024-09-14T08:24:37+00:00'}"
       ]
      },
      "execution_count": 18,
@@ -886,7 +886,7 @@
       "text/plain": [
        "{'FileName': 'in_memory_json_file.txt',\n",
        " 'FileSize': 81,\n",
-       " 'LastModified': '2024-09-14T06:27:30+00:00'}"
+       " 'LastModified': '2024-09-14T08:24:41+00:00'}"
       ]
      },
      "execution_count": 32,
@@ -924,6 +924,32 @@
     "json_file"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "ce8c0c4c-839c-4a04-9800-38db421857f8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'a': 1,\n",
+       " 'b': 'foo',\n",
+       " 'c': [1, 2, 3],\n",
+       " 'd': {'x': ['a', 'b', 'c'], 'y': [1, 2, 3]}}"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# get json file (directly loading json content)\n",
+    "json_file = api.get_object(in_memory_json_filename, binary=False)\n",
+    "json_file"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f5e4ad11",
@@ -934,7 +960,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "id": "fd38646e",
    "metadata": {},
    "outputs": [],
@@ -944,7 +970,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "id": "7e323568",
    "metadata": {},
    "outputs": [
@@ -989,66 +1015,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.505380</td>\n",
-       "      <td>0.503491</td>\n",
-       "      <td>0.488289</td>\n",
-       "      <td>0.507628</td>\n",
-       "      <td>0.498925</td>\n",
-       "      <td>0.502109</td>\n",
+       "      <td>0.512172</td>\n",
+       "      <td>0.499184</td>\n",
+       "      <td>0.496016</td>\n",
+       "      <td>0.502858</td>\n",
+       "      <td>0.496484</td>\n",
+       "      <td>0.517760</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.286202</td>\n",
-       "      <td>0.293247</td>\n",
-       "      <td>0.285330</td>\n",
-       "      <td>0.293311</td>\n",
-       "      <td>0.291313</td>\n",
-       "      <td>0.286579</td>\n",
+       "      <td>0.293573</td>\n",
+       "      <td>0.277218</td>\n",
+       "      <td>0.287446</td>\n",
+       "      <td>0.293018</td>\n",
+       "      <td>0.283005</td>\n",
+       "      <td>0.280917</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.000920</td>\n",
-       "      <td>0.000750</td>\n",
-       "      <td>0.000553</td>\n",
-       "      <td>0.000400</td>\n",
-       "      <td>0.000388</td>\n",
-       "      <td>0.000228</td>\n",
+       "      <td>0.000341</td>\n",
+       "      <td>0.000227</td>\n",
+       "      <td>0.002117</td>\n",
+       "      <td>0.000185</td>\n",
+       "      <td>0.000212</td>\n",
+       "      <td>0.000741</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.259061</td>\n",
-       "      <td>0.245827</td>\n",
-       "      <td>0.258364</td>\n",
-       "      <td>0.244225</td>\n",
-       "      <td>0.243813</td>\n",
-       "      <td>0.264616</td>\n",
+       "      <td>0.262993</td>\n",
+       "      <td>0.268395</td>\n",
+       "      <td>0.244554</td>\n",
+       "      <td>0.240054</td>\n",
+       "      <td>0.248327</td>\n",
+       "      <td>0.294368</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.514605</td>\n",
-       "      <td>0.505117</td>\n",
-       "      <td>0.473647</td>\n",
-       "      <td>0.504914</td>\n",
-       "      <td>0.499803</td>\n",
-       "      <td>0.495396</td>\n",
+       "      <td>0.533376</td>\n",
+       "      <td>0.499320</td>\n",
+       "      <td>0.490525</td>\n",
+       "      <td>0.494644</td>\n",
+       "      <td>0.493294</td>\n",
+       "      <td>0.514371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.747422</td>\n",
-       "      <td>0.761440</td>\n",
-       "      <td>0.741520</td>\n",
-       "      <td>0.770293</td>\n",
-       "      <td>0.747238</td>\n",
-       "      <td>0.753323</td>\n",
+       "      <td>0.772015</td>\n",
+       "      <td>0.722625</td>\n",
+       "      <td>0.741738</td>\n",
+       "      <td>0.764896</td>\n",
+       "      <td>0.740318</td>\n",
+       "      <td>0.752120</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.999916</td>\n",
-       "      <td>0.999761</td>\n",
-       "      <td>0.999419</td>\n",
-       "      <td>0.996839</td>\n",
-       "      <td>0.996180</td>\n",
-       "      <td>0.997951</td>\n",
+       "      <td>0.999882</td>\n",
+       "      <td>0.998550</td>\n",
+       "      <td>0.999944</td>\n",
+       "      <td>0.999737</td>\n",
+       "      <td>0.994961</td>\n",
+       "      <td>0.996570</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1057,26 +1083,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.505380     0.503491     0.488289     0.507628     0.498925   \n",
-       "std       0.286202     0.293247     0.285330     0.293311     0.291313   \n",
-       "min       0.000920     0.000750     0.000553     0.000400     0.000388   \n",
-       "25%       0.259061     0.245827     0.258364     0.244225     0.243813   \n",
-       "50%       0.514605     0.505117     0.473647     0.504914     0.499803   \n",
-       "75%       0.747422     0.761440     0.741520     0.770293     0.747238   \n",
-       "max       0.999916     0.999761     0.999419     0.996839     0.996180   \n",
+       "mean      0.512172     0.499184     0.496016     0.502858     0.496484   \n",
+       "std       0.293573     0.277218     0.287446     0.293018     0.283005   \n",
+       "min       0.000341     0.000227     0.002117     0.000185     0.000212   \n",
+       "25%       0.262993     0.268395     0.244554     0.240054     0.248327   \n",
+       "50%       0.533376     0.499320     0.490525     0.494644     0.493294   \n",
+       "75%       0.772015     0.722625     0.741738     0.764896     0.740318   \n",
+       "max       0.999882     0.998550     0.999944     0.999737     0.994961   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.502109  \n",
-       "std       0.286579  \n",
-       "min       0.000228  \n",
-       "25%       0.264616  \n",
-       "50%       0.495396  \n",
-       "75%       0.753323  \n",
-       "max       0.997951  "
+       "mean      0.517760  \n",
+       "std       0.280917  \n",
+       "min       0.000741  \n",
+       "25%       0.294368  \n",
+       "50%       0.514371  \n",
+       "75%       0.752120  \n",
+       "max       0.996570  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1089,7 +1115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "id": "828da513",
    "metadata": {},
    "outputs": [
@@ -1097,11 +1123,11 @@
      "data": {
       "text/plain": [
        "{'FileName': 'PythonDataFrame',\n",
-       " 'FileSize': 45889,\n",
-       " 'LastModified': '2024-09-14T06:27:30+00:00'}"
+       " 'FileSize': 45908,\n",
+       " 'LastModified': '2024-09-14T08:24:42+00:00'}"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1113,7 +1139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "id": "676fbf50",
    "metadata": {},
    "outputs": [
@@ -1158,66 +1184,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.505380</td>\n",
-       "      <td>0.503491</td>\n",
-       "      <td>0.488289</td>\n",
-       "      <td>0.507628</td>\n",
-       "      <td>0.498925</td>\n",
-       "      <td>0.502109</td>\n",
+       "      <td>0.512172</td>\n",
+       "      <td>0.499184</td>\n",
+       "      <td>0.496016</td>\n",
+       "      <td>0.502858</td>\n",
+       "      <td>0.496484</td>\n",
+       "      <td>0.517760</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.286202</td>\n",
-       "      <td>0.293247</td>\n",
-       "      <td>0.285330</td>\n",
-       "      <td>0.293311</td>\n",
-       "      <td>0.291313</td>\n",
-       "      <td>0.286579</td>\n",
+       "      <td>0.293573</td>\n",
+       "      <td>0.277218</td>\n",
+       "      <td>0.287446</td>\n",
+       "      <td>0.293018</td>\n",
+       "      <td>0.283005</td>\n",
+       "      <td>0.280917</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.000920</td>\n",
-       "      <td>0.000750</td>\n",
-       "      <td>0.000553</td>\n",
-       "      <td>0.000400</td>\n",
-       "      <td>0.000388</td>\n",
-       "      <td>0.000228</td>\n",
+       "      <td>0.000341</td>\n",
+       "      <td>0.000227</td>\n",
+       "      <td>0.002117</td>\n",
+       "      <td>0.000185</td>\n",
+       "      <td>0.000212</td>\n",
+       "      <td>0.000741</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.259061</td>\n",
-       "      <td>0.245827</td>\n",
-       "      <td>0.258364</td>\n",
-       "      <td>0.244225</td>\n",
-       "      <td>0.243813</td>\n",
-       "      <td>0.264616</td>\n",
+       "      <td>0.262993</td>\n",
+       "      <td>0.268395</td>\n",
+       "      <td>0.244554</td>\n",
+       "      <td>0.240054</td>\n",
+       "      <td>0.248327</td>\n",
+       "      <td>0.294368</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.514605</td>\n",
-       "      <td>0.505117</td>\n",
-       "      <td>0.473647</td>\n",
-       "      <td>0.504914</td>\n",
-       "      <td>0.499803</td>\n",
-       "      <td>0.495396</td>\n",
+       "      <td>0.533376</td>\n",
+       "      <td>0.499320</td>\n",
+       "      <td>0.490525</td>\n",
+       "      <td>0.494644</td>\n",
+       "      <td>0.493294</td>\n",
+       "      <td>0.514371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.747422</td>\n",
-       "      <td>0.761440</td>\n",
-       "      <td>0.741520</td>\n",
-       "      <td>0.770293</td>\n",
-       "      <td>0.747238</td>\n",
-       "      <td>0.753323</td>\n",
+       "      <td>0.772015</td>\n",
+       "      <td>0.722625</td>\n",
+       "      <td>0.741738</td>\n",
+       "      <td>0.764896</td>\n",
+       "      <td>0.740318</td>\n",
+       "      <td>0.752120</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.999916</td>\n",
-       "      <td>0.999761</td>\n",
-       "      <td>0.999419</td>\n",
-       "      <td>0.996839</td>\n",
-       "      <td>0.996180</td>\n",
-       "      <td>0.997951</td>\n",
+       "      <td>0.999882</td>\n",
+       "      <td>0.998550</td>\n",
+       "      <td>0.999944</td>\n",
+       "      <td>0.999737</td>\n",
+       "      <td>0.994961</td>\n",
+       "      <td>0.996570</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1226,26 +1252,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.505380     0.503491     0.488289     0.507628     0.498925   \n",
-       "std       0.286202     0.293247     0.285330     0.293311     0.291313   \n",
-       "min       0.000920     0.000750     0.000553     0.000400     0.000388   \n",
-       "25%       0.259061     0.245827     0.258364     0.244225     0.243813   \n",
-       "50%       0.514605     0.505117     0.473647     0.504914     0.499803   \n",
-       "75%       0.747422     0.761440     0.741520     0.770293     0.747238   \n",
-       "max       0.999916     0.999761     0.999419     0.996839     0.996180   \n",
+       "mean      0.512172     0.499184     0.496016     0.502858     0.496484   \n",
+       "std       0.293573     0.277218     0.287446     0.293018     0.283005   \n",
+       "min       0.000341     0.000227     0.002117     0.000185     0.000212   \n",
+       "25%       0.262993     0.268395     0.244554     0.240054     0.248327   \n",
+       "50%       0.533376     0.499320     0.490525     0.494644     0.493294   \n",
+       "75%       0.772015     0.722625     0.741738     0.764896     0.740318   \n",
+       "max       0.999882     0.998550     0.999944     0.999737     0.994961   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.502109  \n",
-       "std       0.286579  \n",
-       "min       0.000228  \n",
-       "25%       0.264616  \n",
-       "50%       0.495396  \n",
-       "75%       0.753323  \n",
-       "max       0.997951  "
+       "mean      0.517760  \n",
+       "std       0.280917  \n",
+       "min       0.000741  \n",
+       "25%       0.294368  \n",
+       "50%       0.514371  \n",
+       "75%       0.752120  \n",
+       "max       0.996570  "
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1266,7 +1292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "id": "3a3fd49a-bf2a-4ecc-833a-27ba6d03c06b",
    "metadata": {},
    "outputs": [],
@@ -1276,7 +1302,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "id": "484ad45b-2b07-4ce8-bf30-1c4bbf60ce79",
    "metadata": {},
    "outputs": [
@@ -1321,66 +1347,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.489670</td>\n",
-       "      <td>0.489180</td>\n",
-       "      <td>0.507504</td>\n",
-       "      <td>0.510191</td>\n",
-       "      <td>0.491957</td>\n",
-       "      <td>0.496886</td>\n",
+       "      <td>0.484961</td>\n",
+       "      <td>0.496264</td>\n",
+       "      <td>0.497050</td>\n",
+       "      <td>0.515552</td>\n",
+       "      <td>0.481781</td>\n",
+       "      <td>0.512973</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.287381</td>\n",
-       "      <td>0.283990</td>\n",
-       "      <td>0.288265</td>\n",
-       "      <td>0.286856</td>\n",
-       "      <td>0.290977</td>\n",
-       "      <td>0.285665</td>\n",
+       "      <td>0.291601</td>\n",
+       "      <td>0.278930</td>\n",
+       "      <td>0.288481</td>\n",
+       "      <td>0.291021</td>\n",
+       "      <td>0.285206</td>\n",
+       "      <td>0.289938</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.000099</td>\n",
-       "      <td>0.002739</td>\n",
-       "      <td>0.000985</td>\n",
-       "      <td>0.000608</td>\n",
-       "      <td>0.000994</td>\n",
-       "      <td>0.000573</td>\n",
+       "      <td>0.000192</td>\n",
+       "      <td>0.001169</td>\n",
+       "      <td>0.000231</td>\n",
+       "      <td>0.000552</td>\n",
+       "      <td>0.000192</td>\n",
+       "      <td>0.000312</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.246406</td>\n",
-       "      <td>0.253548</td>\n",
-       "      <td>0.258094</td>\n",
-       "      <td>0.257812</td>\n",
-       "      <td>0.236022</td>\n",
-       "      <td>0.249795</td>\n",
+       "      <td>0.219493</td>\n",
+       "      <td>0.261146</td>\n",
+       "      <td>0.256118</td>\n",
+       "      <td>0.259521</td>\n",
+       "      <td>0.229561</td>\n",
+       "      <td>0.261098</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.469498</td>\n",
-       "      <td>0.479472</td>\n",
-       "      <td>0.508597</td>\n",
-       "      <td>0.520490</td>\n",
-       "      <td>0.504487</td>\n",
-       "      <td>0.495216</td>\n",
+       "      <td>0.484880</td>\n",
+       "      <td>0.490613</td>\n",
+       "      <td>0.490742</td>\n",
+       "      <td>0.533099</td>\n",
+       "      <td>0.471350</td>\n",
+       "      <td>0.531393</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.743618</td>\n",
-       "      <td>0.731988</td>\n",
-       "      <td>0.753523</td>\n",
-       "      <td>0.764544</td>\n",
-       "      <td>0.723016</td>\n",
-       "      <td>0.742412</td>\n",
+       "      <td>0.741547</td>\n",
+       "      <td>0.734621</td>\n",
+       "      <td>0.748029</td>\n",
+       "      <td>0.766608</td>\n",
+       "      <td>0.722307</td>\n",
+       "      <td>0.764047</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.995917</td>\n",
-       "      <td>0.999964</td>\n",
-       "      <td>0.997376</td>\n",
-       "      <td>0.999637</td>\n",
-       "      <td>0.999195</td>\n",
-       "      <td>0.998996</td>\n",
+       "      <td>0.999975</td>\n",
+       "      <td>0.996931</td>\n",
+       "      <td>0.997797</td>\n",
+       "      <td>0.999450</td>\n",
+       "      <td>0.999285</td>\n",
+       "      <td>0.998011</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1389,26 +1415,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.489670     0.489180     0.507504     0.510191     0.491957   \n",
-       "std       0.287381     0.283990     0.288265     0.286856     0.290977   \n",
-       "min       0.000099     0.002739     0.000985     0.000608     0.000994   \n",
-       "25%       0.246406     0.253548     0.258094     0.257812     0.236022   \n",
-       "50%       0.469498     0.479472     0.508597     0.520490     0.504487   \n",
-       "75%       0.743618     0.731988     0.753523     0.764544     0.723016   \n",
-       "max       0.995917     0.999964     0.997376     0.999637     0.999195   \n",
+       "mean      0.484961     0.496264     0.497050     0.515552     0.481781   \n",
+       "std       0.291601     0.278930     0.288481     0.291021     0.285206   \n",
+       "min       0.000192     0.001169     0.000231     0.000552     0.000192   \n",
+       "25%       0.219493     0.261146     0.256118     0.259521     0.229561   \n",
+       "50%       0.484880     0.490613     0.490742     0.533099     0.471350   \n",
+       "75%       0.741547     0.734621     0.748029     0.766608     0.722307   \n",
+       "max       0.999975     0.996931     0.997797     0.999450     0.999285   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.496886  \n",
-       "std       0.285665  \n",
-       "min       0.000573  \n",
-       "25%       0.249795  \n",
-       "50%       0.495216  \n",
-       "75%       0.742412  \n",
-       "max       0.998996  "
+       "mean      0.512973  \n",
+       "std       0.289938  \n",
+       "min       0.000312  \n",
+       "25%       0.261098  \n",
+       "50%       0.531393  \n",
+       "75%       0.764047  \n",
+       "max       0.998011  "
       ]
      },
-     "execution_count": 39,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1421,7 +1447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "id": "f7bf8f0b-7bec-4872-826a-32e482771bbd",
    "metadata": {},
    "outputs": [
@@ -1429,11 +1455,11 @@
      "data": {
       "text/plain": [
        "{'FileName': 'PythonDataFrame.xlsx',\n",
-       " 'FileSize': 83452,\n",
-       " 'LastModified': '2024-09-14T06:27:31+00:00'}"
+       " 'FileSize': 83441,\n",
+       " 'LastModified': '2024-09-14T08:24:43+00:00'}"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1445,7 +1471,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "id": "82bdc30b-fb2c-45a4-ac8d-ded705c65ddb",
    "metadata": {},
    "outputs": [
@@ -1490,66 +1516,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.489670</td>\n",
-       "      <td>0.489180</td>\n",
-       "      <td>0.507504</td>\n",
-       "      <td>0.510191</td>\n",
-       "      <td>0.491957</td>\n",
-       "      <td>0.496886</td>\n",
+       "      <td>0.484961</td>\n",
+       "      <td>0.496264</td>\n",
+       "      <td>0.497050</td>\n",
+       "      <td>0.515552</td>\n",
+       "      <td>0.481781</td>\n",
+       "      <td>0.512973</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.287381</td>\n",
-       "      <td>0.283990</td>\n",
-       "      <td>0.288265</td>\n",
-       "      <td>0.286856</td>\n",
-       "      <td>0.290977</td>\n",
-       "      <td>0.285665</td>\n",
+       "      <td>0.291601</td>\n",
+       "      <td>0.278930</td>\n",
+       "      <td>0.288481</td>\n",
+       "      <td>0.291021</td>\n",
+       "      <td>0.285206</td>\n",
+       "      <td>0.289938</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.000099</td>\n",
-       "      <td>0.002739</td>\n",
-       "      <td>0.000985</td>\n",
-       "      <td>0.000608</td>\n",
-       "      <td>0.000994</td>\n",
-       "      <td>0.000573</td>\n",
+       "      <td>0.000192</td>\n",
+       "      <td>0.001169</td>\n",
+       "      <td>0.000231</td>\n",
+       "      <td>0.000552</td>\n",
+       "      <td>0.000192</td>\n",
+       "      <td>0.000312</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.246406</td>\n",
-       "      <td>0.253548</td>\n",
-       "      <td>0.258094</td>\n",
-       "      <td>0.257812</td>\n",
-       "      <td>0.236022</td>\n",
-       "      <td>0.249795</td>\n",
+       "      <td>0.219493</td>\n",
+       "      <td>0.261146</td>\n",
+       "      <td>0.256118</td>\n",
+       "      <td>0.259521</td>\n",
+       "      <td>0.229561</td>\n",
+       "      <td>0.261098</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.469498</td>\n",
-       "      <td>0.479472</td>\n",
-       "      <td>0.508597</td>\n",
-       "      <td>0.520490</td>\n",
-       "      <td>0.504487</td>\n",
-       "      <td>0.495216</td>\n",
+       "      <td>0.484880</td>\n",
+       "      <td>0.490613</td>\n",
+       "      <td>0.490742</td>\n",
+       "      <td>0.533099</td>\n",
+       "      <td>0.471350</td>\n",
+       "      <td>0.531393</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.743618</td>\n",
-       "      <td>0.731988</td>\n",
-       "      <td>0.753523</td>\n",
-       "      <td>0.764544</td>\n",
-       "      <td>0.723016</td>\n",
-       "      <td>0.742412</td>\n",
+       "      <td>0.741547</td>\n",
+       "      <td>0.734621</td>\n",
+       "      <td>0.748029</td>\n",
+       "      <td>0.766608</td>\n",
+       "      <td>0.722307</td>\n",
+       "      <td>0.764047</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.995917</td>\n",
-       "      <td>0.999964</td>\n",
-       "      <td>0.997376</td>\n",
-       "      <td>0.999637</td>\n",
-       "      <td>0.999195</td>\n",
-       "      <td>0.998996</td>\n",
+       "      <td>0.999975</td>\n",
+       "      <td>0.996931</td>\n",
+       "      <td>0.997797</td>\n",
+       "      <td>0.999450</td>\n",
+       "      <td>0.999285</td>\n",
+       "      <td>0.998011</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1558,26 +1584,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.489670     0.489180     0.507504     0.510191     0.491957   \n",
-       "std       0.287381     0.283990     0.288265     0.286856     0.290977   \n",
-       "min       0.000099     0.002739     0.000985     0.000608     0.000994   \n",
-       "25%       0.246406     0.253548     0.258094     0.257812     0.236022   \n",
-       "50%       0.469498     0.479472     0.508597     0.520490     0.504487   \n",
-       "75%       0.743618     0.731988     0.753523     0.764544     0.723016   \n",
-       "max       0.995917     0.999964     0.997376     0.999637     0.999195   \n",
+       "mean      0.484961     0.496264     0.497050     0.515552     0.481781   \n",
+       "std       0.291601     0.278930     0.288481     0.291021     0.285206   \n",
+       "min       0.000192     0.001169     0.000231     0.000552     0.000192   \n",
+       "25%       0.219493     0.261146     0.256118     0.259521     0.229561   \n",
+       "50%       0.484880     0.490613     0.490742     0.533099     0.471350   \n",
+       "75%       0.741547     0.734621     0.748029     0.766608     0.722307   \n",
+       "max       0.999975     0.996931     0.997797     0.999450     0.999285   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.496886  \n",
-       "std       0.285665  \n",
-       "min       0.000573  \n",
-       "25%       0.249795  \n",
-       "50%       0.495216  \n",
-       "75%       0.742412  \n",
-       "max       0.998996  "
+       "mean      0.512973  \n",
+       "std       0.289938  \n",
+       "min       0.000312  \n",
+       "25%       0.261098  \n",
+       "50%       0.531393  \n",
+       "75%       0.764047  \n",
+       "max       0.998011  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1598,7 +1624,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "id": "ad8a6be7-8e54-4d19-b62a-01f5980d0c26",
    "metadata": {},
    "outputs": [],
@@ -1608,7 +1634,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "id": "3ab40cbf-ea1b-44f2-b468-1511c278ef9f",
    "metadata": {},
    "outputs": [
@@ -1653,66 +1679,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.511454</td>\n",
-       "      <td>0.522048</td>\n",
-       "      <td>0.504313</td>\n",
-       "      <td>0.504713</td>\n",
-       "      <td>0.494732</td>\n",
-       "      <td>0.500210</td>\n",
+       "      <td>0.494799</td>\n",
+       "      <td>0.494135</td>\n",
+       "      <td>0.506543</td>\n",
+       "      <td>0.519769</td>\n",
+       "      <td>0.492335</td>\n",
+       "      <td>0.488433</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.284970</td>\n",
-       "      <td>0.283053</td>\n",
-       "      <td>0.286638</td>\n",
-       "      <td>0.286273</td>\n",
-       "      <td>0.294515</td>\n",
-       "      <td>0.289024</td>\n",
+       "      <td>0.283438</td>\n",
+       "      <td>0.281720</td>\n",
+       "      <td>0.289256</td>\n",
+       "      <td>0.286991</td>\n",
+       "      <td>0.294640</td>\n",
+       "      <td>0.281300</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.003330</td>\n",
-       "      <td>0.000405</td>\n",
-       "      <td>0.000959</td>\n",
-       "      <td>0.000050</td>\n",
-       "      <td>0.001490</td>\n",
-       "      <td>0.000190</td>\n",
+       "      <td>0.000357</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.002560</td>\n",
+       "      <td>0.001024</td>\n",
+       "      <td>0.001146</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.275897</td>\n",
-       "      <td>0.291933</td>\n",
-       "      <td>0.256520</td>\n",
-       "      <td>0.259792</td>\n",
-       "      <td>0.237938</td>\n",
-       "      <td>0.251599</td>\n",
+       "      <td>0.255175</td>\n",
+       "      <td>0.257041</td>\n",
+       "      <td>0.267001</td>\n",
+       "      <td>0.264351</td>\n",
+       "      <td>0.238453</td>\n",
+       "      <td>0.238830</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.508559</td>\n",
-       "      <td>0.539129</td>\n",
-       "      <td>0.501602</td>\n",
-       "      <td>0.520600</td>\n",
-       "      <td>0.471285</td>\n",
-       "      <td>0.512058</td>\n",
+       "      <td>0.486717</td>\n",
+       "      <td>0.492988</td>\n",
+       "      <td>0.506096</td>\n",
+       "      <td>0.535905</td>\n",
+       "      <td>0.500948</td>\n",
+       "      <td>0.488307</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.756777</td>\n",
-       "      <td>0.755231</td>\n",
-       "      <td>0.743460</td>\n",
-       "      <td>0.756497</td>\n",
-       "      <td>0.760238</td>\n",
-       "      <td>0.751268</td>\n",
+       "      <td>0.742316</td>\n",
+       "      <td>0.728733</td>\n",
+       "      <td>0.753189</td>\n",
+       "      <td>0.770897</td>\n",
+       "      <td>0.750457</td>\n",
+       "      <td>0.737440</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.999784</td>\n",
-       "      <td>0.997883</td>\n",
-       "      <td>0.999541</td>\n",
-       "      <td>0.998536</td>\n",
-       "      <td>0.998784</td>\n",
-       "      <td>0.998828</td>\n",
+       "      <td>0.998229</td>\n",
+       "      <td>0.999698</td>\n",
+       "      <td>0.999560</td>\n",
+       "      <td>0.999635</td>\n",
+       "      <td>0.999374</td>\n",
+       "      <td>0.997818</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1721,26 +1747,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.511454     0.522048     0.504313     0.504713     0.494732   \n",
-       "std       0.284970     0.283053     0.286638     0.286273     0.294515   \n",
-       "min       0.003330     0.000405     0.000959     0.000050     0.001490   \n",
-       "25%       0.275897     0.291933     0.256520     0.259792     0.237938   \n",
-       "50%       0.508559     0.539129     0.501602     0.520600     0.471285   \n",
-       "75%       0.756777     0.755231     0.743460     0.756497     0.760238   \n",
-       "max       0.999784     0.997883     0.999541     0.998536     0.998784   \n",
+       "mean      0.494799     0.494135     0.506543     0.519769     0.492335   \n",
+       "std       0.283438     0.281720     0.289256     0.286991     0.294640   \n",
+       "min       0.000357     0.000061     0.000491     0.002560     0.001024   \n",
+       "25%       0.255175     0.257041     0.267001     0.264351     0.238453   \n",
+       "50%       0.486717     0.492988     0.506096     0.535905     0.500948   \n",
+       "75%       0.742316     0.728733     0.753189     0.770897     0.750457   \n",
+       "max       0.998229     0.999698     0.999560     0.999635     0.999374   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.500210  \n",
-       "std       0.289024  \n",
-       "min       0.000190  \n",
-       "25%       0.251599  \n",
-       "50%       0.512058  \n",
-       "75%       0.751268  \n",
-       "max       0.998828  "
+       "mean      0.488433  \n",
+       "std       0.281300  \n",
+       "min       0.001146  \n",
+       "25%       0.238830  \n",
+       "50%       0.488307  \n",
+       "75%       0.737440  \n",
+       "max       0.997818  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1753,7 +1779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "id": "46bb2cbe-26c3-4fb3-a730-6e3351f90809",
    "metadata": {},
    "outputs": [
@@ -1761,11 +1787,11 @@
      "data": {
       "text/plain": [
        "{'FileName': 'PythonDataFrame.csv',\n",
-       " 'FileSize': 115541,\n",
-       " 'LastModified': '2024-09-14T06:27:32+00:00'}"
+       " 'FileSize': 115568,\n",
+       " 'LastModified': '2024-09-14T08:24:43+00:00'}"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1777,7 +1803,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "id": "81e94131-ebf2-4489-8237-e878667655c0",
    "metadata": {},
    "outputs": [
@@ -1822,66 +1848,66 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.511454</td>\n",
-       "      <td>0.522048</td>\n",
-       "      <td>0.504313</td>\n",
-       "      <td>0.504713</td>\n",
-       "      <td>0.494732</td>\n",
-       "      <td>0.500210</td>\n",
+       "      <td>0.494799</td>\n",
+       "      <td>0.494135</td>\n",
+       "      <td>0.506543</td>\n",
+       "      <td>0.519769</td>\n",
+       "      <td>0.492335</td>\n",
+       "      <td>0.488433</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.284970</td>\n",
-       "      <td>0.283053</td>\n",
-       "      <td>0.286638</td>\n",
-       "      <td>0.286273</td>\n",
-       "      <td>0.294515</td>\n",
-       "      <td>0.289024</td>\n",
+       "      <td>0.283438</td>\n",
+       "      <td>0.281720</td>\n",
+       "      <td>0.289256</td>\n",
+       "      <td>0.286991</td>\n",
+       "      <td>0.294640</td>\n",
+       "      <td>0.281300</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.003330</td>\n",
-       "      <td>0.000405</td>\n",
-       "      <td>0.000959</td>\n",
-       "      <td>0.000050</td>\n",
-       "      <td>0.001490</td>\n",
-       "      <td>0.000190</td>\n",
+       "      <td>0.000357</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.002560</td>\n",
+       "      <td>0.001024</td>\n",
+       "      <td>0.001146</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.275897</td>\n",
-       "      <td>0.291933</td>\n",
-       "      <td>0.256520</td>\n",
-       "      <td>0.259792</td>\n",
-       "      <td>0.237938</td>\n",
-       "      <td>0.251599</td>\n",
+       "      <td>0.255175</td>\n",
+       "      <td>0.257041</td>\n",
+       "      <td>0.267001</td>\n",
+       "      <td>0.264351</td>\n",
+       "      <td>0.238453</td>\n",
+       "      <td>0.238830</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.508559</td>\n",
-       "      <td>0.539129</td>\n",
-       "      <td>0.501602</td>\n",
-       "      <td>0.520600</td>\n",
-       "      <td>0.471285</td>\n",
-       "      <td>0.512058</td>\n",
+       "      <td>0.486717</td>\n",
+       "      <td>0.492988</td>\n",
+       "      <td>0.506096</td>\n",
+       "      <td>0.535905</td>\n",
+       "      <td>0.500948</td>\n",
+       "      <td>0.488307</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.756777</td>\n",
-       "      <td>0.755231</td>\n",
-       "      <td>0.743460</td>\n",
-       "      <td>0.756497</td>\n",
-       "      <td>0.760238</td>\n",
-       "      <td>0.751268</td>\n",
+       "      <td>0.742316</td>\n",
+       "      <td>0.728733</td>\n",
+       "      <td>0.753189</td>\n",
+       "      <td>0.770897</td>\n",
+       "      <td>0.750457</td>\n",
+       "      <td>0.737440</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.999784</td>\n",
-       "      <td>0.997883</td>\n",
-       "      <td>0.999541</td>\n",
-       "      <td>0.998536</td>\n",
-       "      <td>0.998784</td>\n",
-       "      <td>0.998828</td>\n",
+       "      <td>0.998229</td>\n",
+       "      <td>0.999698</td>\n",
+       "      <td>0.999560</td>\n",
+       "      <td>0.999635</td>\n",
+       "      <td>0.999374</td>\n",
+       "      <td>0.997818</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1890,26 +1916,26 @@
       "text/plain": [
        "                 A            B            C            D            E  \\\n",
        "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
-       "mean      0.511454     0.522048     0.504313     0.504713     0.494732   \n",
-       "std       0.284970     0.283053     0.286638     0.286273     0.294515   \n",
-       "min       0.003330     0.000405     0.000959     0.000050     0.001490   \n",
-       "25%       0.275897     0.291933     0.256520     0.259792     0.237938   \n",
-       "50%       0.508559     0.539129     0.501602     0.520600     0.471285   \n",
-       "75%       0.756777     0.755231     0.743460     0.756497     0.760238   \n",
-       "max       0.999784     0.997883     0.999541     0.998536     0.998784   \n",
+       "mean      0.494799     0.494135     0.506543     0.519769     0.492335   \n",
+       "std       0.283438     0.281720     0.289256     0.286991     0.294640   \n",
+       "min       0.000357     0.000061     0.000491     0.002560     0.001024   \n",
+       "25%       0.255175     0.257041     0.267001     0.264351     0.238453   \n",
+       "50%       0.486717     0.492988     0.506096     0.535905     0.500948   \n",
+       "75%       0.742316     0.728733     0.753189     0.770897     0.750457   \n",
+       "max       0.998229     0.999698     0.999560     0.999635     0.999374   \n",
        "\n",
        "                 F  \n",
        "count  1000.000000  \n",
-       "mean      0.500210  \n",
-       "std       0.289024  \n",
-       "min       0.000190  \n",
-       "25%       0.251599  \n",
-       "50%       0.512058  \n",
-       "75%       0.751268  \n",
-       "max       0.998828  "
+       "mean      0.488433  \n",
+       "std       0.281300  \n",
+       "min       0.001146  \n",
+       "25%       0.238830  \n",
+       "50%       0.488307  \n",
+       "75%       0.737440  \n",
+       "max       0.997818  "
       ]
      },
-     "execution_count": 45,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1930,7 +1956,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "id": "a34e9485",
    "metadata": {},
    "outputs": [],
@@ -1940,7 +1966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "id": "80719647",
    "metadata": {},
    "outputs": [],
@@ -1960,7 +1986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "id": "298c964d",
    "metadata": {},
    "outputs": [
@@ -1969,10 +1995,10 @@
       "text/plain": [
        "{'FileName': 'pyobj',\n",
        " 'FileSize': 120,\n",
-       " 'LastModified': '2024-09-14T06:27:33+00:00'}"
+       " 'LastModified': '2024-09-14T08:24:44+00:00'}"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1984,7 +2010,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "id": "776a9def",
    "metadata": {},
    "outputs": [
@@ -2014,7 +2040,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "id": "8d1be04b",
    "metadata": {
     "tags": []
@@ -2129,7 +2155,7 @@
        " 'zmap_example']"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2142,7 +2168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "id": "4ebea39b",
    "metadata": {},
    "outputs": [
@@ -2152,7 +2178,7 @@
        "<Response [200]>"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/tests/test_files.py b/tests/test_files.py
new file mode 100644
index 0000000..db19919
--- /dev/null
+++ b/tests/test_files.py
@@ -0,0 +1,66 @@
+import numpy as np
+import pandas as pd
+from petrovisor import PetroVisor
+import uuid
+
+
+def test_files(api: PetroVisor):
+    # Dictionary to json file tests
+    d = {
+        "a": 1,
+        "b": "foo",
+        "c": [1, 2, 3],
+        "d": {
+            "x": [
+                "a",
+                "b",
+                "c",
+            ],
+            "y": [1, 2, 3],
+        },
+    }
+
+    json_file_name = str(uuid.uuid4()) + ".json"
+    api.upload_object(d, json_file_name, binary=False)
+
+    d_loaded1 = api.get_file(json_file_name, format="json")
+    assert d == d_loaded1
+
+    d_loaded2 = api.get_object(json_file_name, binary=False)
+    assert d == d_loaded2
+
+    api.delete_file(json_file_name)
+
+    # DataFrame tests
+    df = pd.DataFrame(
+        np.random.uniform(0, 1, size=(int(1e3), 6)), columns=list("ABCDEF")
+    )
+
+    # DataFrame to csv tests
+    dataframe_csv_file_name = str(uuid.uuid4()) + ".csv"
+    api.upload_object(df, dataframe_csv_file_name)
+
+    df_csv_loaded = api.get_object(dataframe_csv_file_name)
+    # assert df.equals(df_csv_loaded)
+    assert df.shape == df_csv_loaded.shape
+
+    api.delete_file(dataframe_csv_file_name)
+
+    # DataFrame to excel test
+    dataframe_excel_file_name = str(uuid.uuid4()) + ".xlsx"
+    api.upload_object(df, dataframe_excel_file_name)
+
+    df_excel_loaded = api.get_object(dataframe_excel_file_name)
+    # assert df.equals(df_excel_loaded)
+    assert df.shape == df_excel_loaded.shape
+
+    api.delete_file(dataframe_excel_file_name)
+
+    # DataFrame to pickle test
+    dataframe_pickle_file_name = str(uuid.uuid4()) + ".pkl"
+    api.upload_object(df, dataframe_pickle_file_name)
+
+    df_pickle_loaded = api.get_object(dataframe_pickle_file_name)
+    assert df.equals(df_pickle_loaded)
+
+    api.delete_file(dataframe_pickle_file_name)
diff --git a/tests/test_reference_tables.py b/tests/test_reference_tables.py
index 191853d..8bbcec4 100644
--- a/tests/test_reference_tables.py
+++ b/tests/test_reference_tables.py
@@ -5,7 +5,6 @@
 
 
 def test_ref_tables(api: PetroVisor):
-
     # create entity
     entity_name = "Well 001"
     api.add_item(
diff --git a/tests/test_units.py b/tests/test_units.py
index b7eda45..d531812 100644
--- a/tests/test_units.py
+++ b/tests/test_units.py
@@ -4,7 +4,6 @@
 
 
 def test_units(api: PetroVisor):
-
     value = api.convert_units(3, "cm", "m")
     assert value == 0.03