Compare content IDs from Media Cargo (all downloaded images).
Browse files- notebooks/ToL_license_check.ipynb +301 -142
- notebooks/ToL_license_check.py +44 -0
notebooks/ToL_license_check.ipynb
CHANGED
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@@ -29,7 +29,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/
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" df = pd.read_csv(\"../data/predicted-catalog.csv\")\n"
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]
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}
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@@ -290,7 +290,7 @@
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{
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@@ -536,7 +536,7 @@
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"Index(['treeoflife_id', 'eol_content_id', 'eol_page_id'], dtype='object')"
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]
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},
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"execution_count":
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"output_type": "stream",
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"text": [
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"/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/
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" media = pd.read_csv(\"../data/media_manifest (july 26).csv\")\n"
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]
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},
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@@ -724,7 +724,7 @@
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"execution_count":
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"source": [
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@@ -958,128 +958,9 @@
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},
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{
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>treeoflife_id</th>\n",
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" <th>eol_content_id</th>\n",
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" <th>eol_page_id</th>\n",
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" <th>EOL page ID</th>\n",
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" <th>Medium Source URL</th>\n",
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" <th>EOL Full-Size Copy URL</th>\n",
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" <th>License Name</th>\n",
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" <th>Copyright Owner</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>126</th>\n",
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" <td>4b56e165-c4d5-49f9-a321-ac9474d099f3</td>\n",
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" <td>2753529.0</td>\n",
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" <td>1225965.0</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>174</th>\n",
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" <td>421678a0-c8ec-43c8-815c-fc5888835068</td>\n",
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" <td>16288.0</td>\n",
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" <td>45514264.0</td>\n",
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" <td>NaN</td>\n",
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" <tr>\n",
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" <th>177</th>\n",
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" <td>be81bd8c-16a7-4911-8279-431245d67195</td>\n",
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" <td>2730639.0</td>\n",
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" <td>1034220.0</td>\n",
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" <th>259</th>\n",
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" <td>fc765c82-84e6-437e-b9a5-1c7601c5be81</td>\n",
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" <td>2717906.0</td>\n",
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" <th>322</th>\n",
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" <td>8c1e6878-47ac-4f7b-8475-73e71c0e99c3</td>\n",
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" <td>2836995.0</td>\n",
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" <td>957074.0</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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| 1056 |
-
" treeoflife_id eol_content_id eol_page_id \n",
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-
"126 4b56e165-c4d5-49f9-a321-ac9474d099f3 2753529.0 1225965.0 \\\n",
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"174 421678a0-c8ec-43c8-815c-fc5888835068 16288.0 45514264.0 \n",
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"177 be81bd8c-16a7-4911-8279-431245d67195 2730639.0 1034220.0 \n",
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"259 fc765c82-84e6-437e-b9a5-1c7601c5be81 2717906.0 1052077.0 \n",
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"322 8c1e6878-47ac-4f7b-8475-73e71c0e99c3 2836995.0 957074.0 \n",
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"\n",
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" EOL page ID Medium Source URL EOL Full-Size Copy URL License Name \n",
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"126 NaN NaN NaN NaN \\\n",
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"174 NaN NaN NaN NaN \n",
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"177 NaN NaN NaN NaN \n",
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"259 NaN NaN NaN NaN \n",
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"322 NaN NaN NaN NaN \n",
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"\n",
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" Copyright Owner \n",
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"126 NaN \n",
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"174 NaN \n",
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"177 NaN \n",
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"259 NaN \n",
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"322 NaN "
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"eol_missing_content_ids = eol_df_media.loc[eol_df_media[\"Medium Source URL\"].isna()]\n",
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"eol_missing_content_ids.head()"
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@@ -1205,7 +1086,7 @@
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},
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"dtype: int64"
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"eol_cat_df_taxa_media.loc[eol_cat_df_taxa_media[\"Medium Source URL\"].isna()].sample(4)"
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]
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{
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"cell_type": "markdown",
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| 1934 |
"metadata": {},
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| 29 |
"name": "stderr",
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| 30 |
"output_type": "stream",
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| 31 |
"text": [
|
| 32 |
+
"/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_59620/4112647395.py:1: DtypeWarning: Columns (5,6,7,14,15) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
| 33 |
" df = pd.read_csv(\"../data/predicted-catalog.csv\")\n"
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]
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| 35 |
}
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},
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{
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"cell_type": "code",
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+
"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"cell_type": "code",
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+
"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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+
"execution_count": 5,
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| 531 |
"metadata": {},
|
| 532 |
"outputs": [
|
| 533 |
{
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| 536 |
"Index(['treeoflife_id', 'eol_content_id', 'eol_page_id'], dtype='object')"
|
| 537 |
]
|
| 538 |
},
|
| 539 |
+
"execution_count": 5,
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| 540 |
"metadata": {},
|
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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+
"execution_count": 22,
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"metadata": {},
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"outputs": [],
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"source": [
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| 659 |
},
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| 660 |
{
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| 661 |
"cell_type": "code",
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| 662 |
+
"execution_count": 6,
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| 663 |
"metadata": {},
|
| 664 |
"outputs": [
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| 665 |
{
|
| 666 |
"name": "stderr",
|
| 667 |
"output_type": "stream",
|
| 668 |
"text": [
|
| 669 |
+
"/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_59620/2809897267.py:1: DtypeWarning: Columns (5) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
| 670 |
" media = pd.read_csv(\"../data/media_manifest (july 26).csv\")\n"
|
| 671 |
]
|
| 672 |
},
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| 724 |
},
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| 725 |
{
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| 726 |
"cell_type": "code",
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| 727 |
+
"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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| 736 |
+
"execution_count": 23,
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"metadata": {},
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"outputs": [],
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| 739 |
"source": [
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},
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| 959 |
{
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"cell_type": "code",
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| 961 |
+
"execution_count": null,
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| 962 |
"metadata": {},
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+
"outputs": [],
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|
| 964 |
"source": [
|
| 965 |
"eol_missing_content_ids = eol_df_media.loc[eol_df_media[\"Medium Source URL\"].isna()]\n",
|
| 966 |
"eol_missing_content_ids.head()"
|
|
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|
| 1086 |
},
|
| 1087 |
{
|
| 1088 |
"cell_type": "code",
|
| 1089 |
+
"execution_count": 9,
|
| 1090 |
"metadata": {},
|
| 1091 |
"outputs": [],
|
| 1092 |
"source": [
|
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| 1097 |
},
|
| 1098 |
{
|
| 1099 |
"cell_type": "code",
|
| 1100 |
+
"execution_count": 10,
|
| 1101 |
"metadata": {},
|
| 1102 |
"outputs": [],
|
| 1103 |
"source": [
|
|
|
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
"cell_type": "code",
|
| 1112 |
+
"execution_count": 11,
|
| 1113 |
"metadata": {},
|
| 1114 |
"outputs": [],
|
| 1115 |
"source": [
|
|
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|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
"cell_type": "code",
|
| 1121 |
+
"execution_count": 12,
|
| 1122 |
"metadata": {},
|
| 1123 |
"outputs": [
|
| 1124 |
{
|
|
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|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"cell_type": "code",
|
| 1204 |
+
"execution_count": 13,
|
| 1205 |
"metadata": {},
|
| 1206 |
"outputs": [],
|
| 1207 |
"source": [
|
|
|
|
| 1212 |
},
|
| 1213 |
{
|
| 1214 |
"cell_type": "code",
|
| 1215 |
+
"execution_count": 14,
|
| 1216 |
"metadata": {},
|
| 1217 |
"outputs": [],
|
| 1218 |
"source": [
|
|
|
|
| 1222 |
},
|
| 1223 |
{
|
| 1224 |
"cell_type": "code",
|
| 1225 |
+
"execution_count": 15,
|
| 1226 |
"metadata": {},
|
| 1227 |
"outputs": [],
|
| 1228 |
"source": [
|
|
|
|
| 1231 |
},
|
| 1232 |
{
|
| 1233 |
"cell_type": "code",
|
| 1234 |
+
"execution_count": 16,
|
| 1235 |
"metadata": {},
|
| 1236 |
"outputs": [
|
| 1237 |
{
|
|
|
|
| 1256 |
"dtype: int64"
|
| 1257 |
]
|
| 1258 |
},
|
| 1259 |
+
"execution_count": 16,
|
| 1260 |
"metadata": {},
|
| 1261 |
"output_type": "execute_result"
|
| 1262 |
}
|
|
|
|
| 1569 |
},
|
| 1570 |
{
|
| 1571 |
"cell_type": "code",
|
| 1572 |
+
"execution_count": 17,
|
| 1573 |
"metadata": {},
|
| 1574 |
"outputs": [
|
| 1575 |
{
|
|
|
|
| 1594 |
"dtype: int64"
|
| 1595 |
]
|
| 1596 |
},
|
| 1597 |
+
"execution_count": 17,
|
| 1598 |
"metadata": {},
|
| 1599 |
"output_type": "execute_result"
|
| 1600 |
}
|
|
|
|
| 1810 |
"eol_cat_df_taxa_media.loc[eol_cat_df_taxa_media[\"Medium Source URL\"].isna()].sample(4)"
|
| 1811 |
]
|
| 1812 |
},
|
| 1813 |
+
{
|
| 1814 |
+
"cell_type": "markdown",
|
| 1815 |
+
"metadata": {},
|
| 1816 |
+
"source": [
|
| 1817 |
+
"## Compare Media Cargo\n",
|
| 1818 |
+
"Media cargo is all images we downloaded from EOL 29 July 2023, so should match to `predicted-catalog`."
|
| 1819 |
+
]
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"cell_type": "code",
|
| 1823 |
+
"execution_count": 19,
|
| 1824 |
+
"metadata": {},
|
| 1825 |
+
"outputs": [
|
| 1826 |
+
{
|
| 1827 |
+
"name": "stdout",
|
| 1828 |
+
"output_type": "stream",
|
| 1829 |
+
"text": [
|
| 1830 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1831 |
+
"RangeIndex: 6724838 entries, 0 to 6724837\n",
|
| 1832 |
+
"Data columns (total 3 columns):\n",
|
| 1833 |
+
" # Column Non-Null Count Dtype \n",
|
| 1834 |
+
"--- ------ -------------- ----- \n",
|
| 1835 |
+
" 0 EOL content ID 6724838 non-null int64 \n",
|
| 1836 |
+
" 1 EOL page ID 6724838 non-null int64 \n",
|
| 1837 |
+
" 2 URL Type 6724838 non-null object\n",
|
| 1838 |
+
"dtypes: int64(2), object(1)\n",
|
| 1839 |
+
"memory usage: 153.9+ MB\n"
|
| 1840 |
+
]
|
| 1841 |
+
}
|
| 1842 |
+
],
|
| 1843 |
+
"source": [
|
| 1844 |
+
"cargo = pd.read_csv(\"../data/eol_media_cargo_names.csv\")\n",
|
| 1845 |
+
"cargo.info(show_counts = True)"
|
| 1846 |
+
]
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"cell_type": "code",
|
| 1850 |
+
"execution_count": 20,
|
| 1851 |
+
"metadata": {},
|
| 1852 |
+
"outputs": [
|
| 1853 |
+
{
|
| 1854 |
+
"data": {
|
| 1855 |
+
"text/plain": [
|
| 1856 |
+
"EOL content ID 6724838\n",
|
| 1857 |
+
"EOL page ID 580866\n",
|
| 1858 |
+
"URL Type 1\n",
|
| 1859 |
+
"dtype: int64"
|
| 1860 |
+
]
|
| 1861 |
+
},
|
| 1862 |
+
"execution_count": 20,
|
| 1863 |
+
"metadata": {},
|
| 1864 |
+
"output_type": "execute_result"
|
| 1865 |
+
}
|
| 1866 |
+
],
|
| 1867 |
+
"source": [
|
| 1868 |
+
"cargo.nunique()"
|
| 1869 |
+
]
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"cell_type": "code",
|
| 1873 |
+
"execution_count": 21,
|
| 1874 |
+
"metadata": {},
|
| 1875 |
+
"outputs": [
|
| 1876 |
+
{
|
| 1877 |
+
"data": {
|
| 1878 |
+
"text/html": [
|
| 1879 |
+
"<div>\n",
|
| 1880 |
+
"<style scoped>\n",
|
| 1881 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 1882 |
+
" vertical-align: middle;\n",
|
| 1883 |
+
" }\n",
|
| 1884 |
+
"\n",
|
| 1885 |
+
" .dataframe tbody tr th {\n",
|
| 1886 |
+
" vertical-align: top;\n",
|
| 1887 |
+
" }\n",
|
| 1888 |
+
"\n",
|
| 1889 |
+
" .dataframe thead th {\n",
|
| 1890 |
+
" text-align: right;\n",
|
| 1891 |
+
" }\n",
|
| 1892 |
+
"</style>\n",
|
| 1893 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 1894 |
+
" <thead>\n",
|
| 1895 |
+
" <tr style=\"text-align: right;\">\n",
|
| 1896 |
+
" <th></th>\n",
|
| 1897 |
+
" <th>EOL content ID</th>\n",
|
| 1898 |
+
" <th>EOL page ID</th>\n",
|
| 1899 |
+
" <th>URL Type</th>\n",
|
| 1900 |
+
" </tr>\n",
|
| 1901 |
+
" </thead>\n",
|
| 1902 |
+
" <tbody>\n",
|
| 1903 |
+
" <tr>\n",
|
| 1904 |
+
" <th>0</th>\n",
|
| 1905 |
+
" <td>29538374</td>\n",
|
| 1906 |
+
" <td>65414274</td>\n",
|
| 1907 |
+
" <td>eol-full-size-copy</td>\n",
|
| 1908 |
+
" </tr>\n",
|
| 1909 |
+
" <tr>\n",
|
| 1910 |
+
" <th>1</th>\n",
|
| 1911 |
+
" <td>27793900</td>\n",
|
| 1912 |
+
" <td>888015</td>\n",
|
| 1913 |
+
" <td>eol-full-size-copy</td>\n",
|
| 1914 |
+
" </tr>\n",
|
| 1915 |
+
" <tr>\n",
|
| 1916 |
+
" <th>2</th>\n",
|
| 1917 |
+
" <td>29121641</td>\n",
|
| 1918 |
+
" <td>5618956</td>\n",
|
| 1919 |
+
" <td>eol-full-size-copy</td>\n",
|
| 1920 |
+
" </tr>\n",
|
| 1921 |
+
" <tr>\n",
|
| 1922 |
+
" <th>3</th>\n",
|
| 1923 |
+
" <td>27596176</td>\n",
|
| 1924 |
+
" <td>607817</td>\n",
|
| 1925 |
+
" <td>eol-full-size-copy</td>\n",
|
| 1926 |
+
" </tr>\n",
|
| 1927 |
+
" <tr>\n",
|
| 1928 |
+
" <th>4</th>\n",
|
| 1929 |
+
" <td>20300703</td>\n",
|
| 1930 |
+
" <td>267922</td>\n",
|
| 1931 |
+
" <td>eol-full-size-copy</td>\n",
|
| 1932 |
+
" </tr>\n",
|
| 1933 |
+
" </tbody>\n",
|
| 1934 |
+
"</table>\n",
|
| 1935 |
+
"</div>"
|
| 1936 |
+
],
|
| 1937 |
+
"text/plain": [
|
| 1938 |
+
" EOL content ID EOL page ID URL Type\n",
|
| 1939 |
+
"0 29538374 65414274 eol-full-size-copy\n",
|
| 1940 |
+
"1 27793900 888015 eol-full-size-copy\n",
|
| 1941 |
+
"2 29121641 5618956 eol-full-size-copy\n",
|
| 1942 |
+
"3 27596176 607817 eol-full-size-copy\n",
|
| 1943 |
+
"4 20300703 267922 eol-full-size-copy"
|
| 1944 |
+
]
|
| 1945 |
+
},
|
| 1946 |
+
"execution_count": 21,
|
| 1947 |
+
"metadata": {},
|
| 1948 |
+
"output_type": "execute_result"
|
| 1949 |
+
}
|
| 1950 |
+
],
|
| 1951 |
+
"source": [
|
| 1952 |
+
"cargo.head()"
|
| 1953 |
+
]
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"cell_type": "code",
|
| 1957 |
+
"execution_count": 24,
|
| 1958 |
+
"metadata": {},
|
| 1959 |
+
"outputs": [],
|
| 1960 |
+
"source": [
|
| 1961 |
+
"cargo.rename(columns = {\"EOL content ID\": \"eol_content_id\"}, inplace = True)\n",
|
| 1962 |
+
"eol_df_cargo = pd.merge(eol_license_df, cargo, how = \"left\", on = \"eol_content_id\")"
|
| 1963 |
+
]
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"cell_type": "code",
|
| 1967 |
+
"execution_count": 25,
|
| 1968 |
+
"metadata": {},
|
| 1969 |
+
"outputs": [
|
| 1970 |
+
{
|
| 1971 |
+
"name": "stdout",
|
| 1972 |
+
"output_type": "stream",
|
| 1973 |
+
"text": [
|
| 1974 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1975 |
+
"RangeIndex: 6277374 entries, 0 to 6277373\n",
|
| 1976 |
+
"Data columns (total 5 columns):\n",
|
| 1977 |
+
" # Column Non-Null Count Dtype \n",
|
| 1978 |
+
"--- ------ -------------- ----- \n",
|
| 1979 |
+
" 0 treeoflife_id 6277374 non-null object \n",
|
| 1980 |
+
" 1 eol_content_id 6277374 non-null float64\n",
|
| 1981 |
+
" 2 eol_page_id 6277374 non-null float64\n",
|
| 1982 |
+
" 3 EOL page ID 6276741 non-null float64\n",
|
| 1983 |
+
" 4 URL Type 6276741 non-null object \n",
|
| 1984 |
+
"dtypes: float64(3), object(2)\n",
|
| 1985 |
+
"memory usage: 239.5+ MB\n"
|
| 1986 |
+
]
|
| 1987 |
+
}
|
| 1988 |
+
],
|
| 1989 |
+
"source": [
|
| 1990 |
+
"eol_df_cargo.info(show_counts = True)"
|
| 1991 |
+
]
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"cell_type": "markdown",
|
| 1995 |
+
"metadata": {},
|
| 1996 |
+
"source": [
|
| 1997 |
+
"There seem to be 633 images here that aren't listed in the media cargo.\n",
|
| 1998 |
+
"\n",
|
| 1999 |
+
"What about in catalog?"
|
| 2000 |
+
]
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"cell_type": "code",
|
| 2004 |
+
"execution_count": 27,
|
| 2005 |
+
"metadata": {},
|
| 2006 |
+
"outputs": [
|
| 2007 |
+
{
|
| 2008 |
+
"name": "stdout",
|
| 2009 |
+
"output_type": "stream",
|
| 2010 |
+
"text": [
|
| 2011 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 2012 |
+
"RangeIndex: 6250420 entries, 0 to 6250419\n",
|
| 2013 |
+
"Data columns (total 5 columns):\n",
|
| 2014 |
+
" # Column Non-Null Count Dtype \n",
|
| 2015 |
+
"--- ------ -------------- ----- \n",
|
| 2016 |
+
" 0 treeoflife_id 6250420 non-null object \n",
|
| 2017 |
+
" 1 eol_content_id 6250420 non-null float64\n",
|
| 2018 |
+
" 2 eol_page_id 6250420 non-null float64\n",
|
| 2019 |
+
" 3 EOL page ID 6249787 non-null float64\n",
|
| 2020 |
+
" 4 URL Type 6249787 non-null object \n",
|
| 2021 |
+
"dtypes: float64(3), object(2)\n",
|
| 2022 |
+
"memory usage: 238.4+ MB\n"
|
| 2023 |
+
]
|
| 2024 |
+
}
|
| 2025 |
+
],
|
| 2026 |
+
"source": [
|
| 2027 |
+
"eol_cat_cargo = pd.merge(eol_cat_df[eol_license_cols], cargo, how = \"left\", on = \"eol_content_id\")\n",
|
| 2028 |
+
"eol_cat_cargo.info(show_counts = True)"
|
| 2029 |
+
]
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"cell_type": "markdown",
|
| 2033 |
+
"metadata": {},
|
| 2034 |
+
"source": [
|
| 2035 |
+
"Still missing 633 images...so we know it's not part of the Rare Species dataset, but is TreeOfLife-10M..."
|
| 2036 |
+
]
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"cell_type": "code",
|
| 2040 |
+
"execution_count": 26,
|
| 2041 |
+
"metadata": {},
|
| 2042 |
+
"outputs": [
|
| 2043 |
+
{
|
| 2044 |
+
"name": "stdout",
|
| 2045 |
+
"output_type": "stream",
|
| 2046 |
+
"text": [
|
| 2047 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 2048 |
+
"RangeIndex: 6574224 entries, 0 to 6574223\n",
|
| 2049 |
+
"Data columns (total 8 columns):\n",
|
| 2050 |
+
" # Column Non-Null Count Dtype \n",
|
| 2051 |
+
"--- ------ -------------- ----- \n",
|
| 2052 |
+
" 0 eol_content_id 6574224 non-null int64 \n",
|
| 2053 |
+
" 1 EOL page ID_x 6547356 non-null float64\n",
|
| 2054 |
+
" 2 URL Type 6547356 non-null object \n",
|
| 2055 |
+
" 3 EOL page ID_y 6574224 non-null int64 \n",
|
| 2056 |
+
" 4 Medium Source URL 6574222 non-null object \n",
|
| 2057 |
+
" 5 EOL Full-Size Copy URL 6574224 non-null object \n",
|
| 2058 |
+
" 6 License Name 6574224 non-null object \n",
|
| 2059 |
+
" 7 Copyright Owner 5942181 non-null object \n",
|
| 2060 |
+
"dtypes: float64(1), int64(2), object(5)\n",
|
| 2061 |
+
"memory usage: 401.3+ MB\n"
|
| 2062 |
+
]
|
| 2063 |
+
}
|
| 2064 |
+
],
|
| 2065 |
+
"source": [
|
| 2066 |
+
"media_in_cargo = pd.merge(cargo, media, how = \"right\", on = \"eol_content_id\")\n",
|
| 2067 |
+
"media_in_cargo.info(show_counts = True)"
|
| 2068 |
+
]
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"cell_type": "markdown",
|
| 2072 |
+
"metadata": {},
|
| 2073 |
+
"source": [
|
| 2074 |
+
"But there are 26,868 images in media manifest that are not in cargo (or at least the content ID's aren't), despite the media cargo having 154K more images listed."
|
| 2075 |
+
]
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"cell_type": "code",
|
| 2079 |
+
"execution_count": null,
|
| 2080 |
+
"metadata": {},
|
| 2081 |
+
"outputs": [],
|
| 2082 |
+
"source": []
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"cell_type": "code",
|
| 2086 |
+
"execution_count": null,
|
| 2087 |
+
"metadata": {},
|
| 2088 |
+
"outputs": [],
|
| 2089 |
+
"source": []
|
| 2090 |
+
},
|
| 2091 |
{
|
| 2092 |
"cell_type": "markdown",
|
| 2093 |
"metadata": {},
|
notebooks/ToL_license_check.py
CHANGED
|
@@ -217,6 +217,50 @@ eol_cat_df_taxa_media.loc[eol_cat_df_taxa_media["Medium Source URL"].isna()].inf
|
|
| 217 |
# %%
|
| 218 |
eol_cat_df_taxa_media.loc[eol_cat_df_taxa_media["Medium Source URL"].isna()].sample(4)
|
| 219 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 220 |
# %% [markdown]
|
| 221 |
# ## Check EOL License file(s)
|
| 222 |
#
|
|
|
|
| 217 |
# %%
|
| 218 |
eol_cat_df_taxa_media.loc[eol_cat_df_taxa_media["Medium Source URL"].isna()].sample(4)
|
| 219 |
|
| 220 |
+
# %% [markdown]
|
| 221 |
+
# ## Compare Media Cargo
|
| 222 |
+
# Media cargo is all images we downloaded from EOL 29 July 2023, so should match to `predicted-catalog`.
|
| 223 |
+
|
| 224 |
+
# %%
|
| 225 |
+
cargo = pd.read_csv("../data/eol_media_cargo_names.csv")
|
| 226 |
+
cargo.info(show_counts = True)
|
| 227 |
+
|
| 228 |
+
# %%
|
| 229 |
+
cargo.nunique()
|
| 230 |
+
|
| 231 |
+
# %%
|
| 232 |
+
cargo.head()
|
| 233 |
+
|
| 234 |
+
# %%
|
| 235 |
+
cargo.rename(columns = {"EOL content ID": "eol_content_id"}, inplace = True)
|
| 236 |
+
eol_df_cargo = pd.merge(eol_license_df, cargo, how = "left", on = "eol_content_id")
|
| 237 |
+
|
| 238 |
+
# %%
|
| 239 |
+
eol_df_cargo.info(show_counts = True)
|
| 240 |
+
|
| 241 |
+
# %% [markdown]
|
| 242 |
+
# There seem to be 633 images here that aren't listed in the media cargo.
|
| 243 |
+
#
|
| 244 |
+
# What about in catalog?
|
| 245 |
+
|
| 246 |
+
# %%
|
| 247 |
+
eol_cat_cargo = pd.merge(eol_cat_df[eol_license_cols], cargo, how = "left", on = "eol_content_id")
|
| 248 |
+
eol_cat_cargo.info(show_counts = True)
|
| 249 |
+
|
| 250 |
+
# %% [markdown]
|
| 251 |
+
# Still missing 633 images...so we know it's not part of the Rare Species dataset, but is TreeOfLife-10M...
|
| 252 |
+
|
| 253 |
+
# %%
|
| 254 |
+
media_in_cargo = pd.merge(cargo, media, how = "right", on = "eol_content_id")
|
| 255 |
+
media_in_cargo.info(show_counts = True)
|
| 256 |
+
|
| 257 |
+
# %% [markdown]
|
| 258 |
+
# But there are 26,868 images in media manifest that are not in cargo (or at least the content ID's aren't), despite the media cargo having 154K more images listed.
|
| 259 |
+
|
| 260 |
+
# %%
|
| 261 |
+
|
| 262 |
+
# %%
|
| 263 |
+
|
| 264 |
# %% [markdown]
|
| 265 |
# ## Check EOL License file(s)
|
| 266 |
#
|