remove outliers
Browse files- combine_dbs.ipynb +23 -3
- data/all.parquet +2 -2
- requirements.txt +0 -1
combine_dbs.ipynb
CHANGED
@@ -1378,13 +1378,33 @@
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"id": "d91c0d91-474c-4ab2-9a5e-3b7861f7a832",
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"metadata": {},
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"outputs": [
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{
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"data": {
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-
"image/png": 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\n",
|
1388 |
"text/plain": [
|
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"<Figure size 432x288 with 1 Axes>"
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]
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@@ -1469,7 +1489,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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1472 |
-
"version": "3.
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}
|
1474 |
},
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"nbformat": 4,
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},
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{
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"cell_type": "code",
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+
"execution_count": 8,
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1382 |
+
"id": "07ffdeb1-f4fa-4776-9fea-a18439e03d2e",
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1383 |
+
"metadata": {},
|
1384 |
+
"outputs": [],
|
1385 |
+
"source": [
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+
"df = df[(df['neg_log10_affinity_M']>0) & (df['neg_log10_affinity_M']<15)].reset_index()"
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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": 9,
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1392 |
+
"id": "c6c64066-4032-4247-a8b9-00388176cc7b",
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1393 |
+
"metadata": {},
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1394 |
+
"outputs": [],
|
1395 |
+
"source": [
|
1396 |
+
"df.to_parquet('data/all.parquet')"
|
1397 |
+
]
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"cell_type": "code",
|
1401 |
+
"execution_count": 10,
|
1402 |
"id": "d91c0d91-474c-4ab2-9a5e-3b7861f7a832",
|
1403 |
"metadata": {},
|
1404 |
"outputs": [
|
1405 |
{
|
1406 |
"data": {
|
1407 |
+
"image/png": 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|
1408 |
"text/plain": [
|
1409 |
"<Figure size 432x288 with 1 Axes>"
|
1410 |
]
|
|
|
1489 |
"name": "python",
|
1490 |
"nbconvert_exporter": "python",
|
1491 |
"pygments_lexer": "ipython3",
|
1492 |
+
"version": "3.8.10"
|
1493 |
}
|
1494 |
},
|
1495 |
"nbformat": 4,
|
data/all.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8ae6ddbbf887ba3fa3fa50c0db3a7ff093728fa8191b6fd5f0effbc94ace023
|
3 |
+
size 216004661
|
requirements.txt
CHANGED
@@ -4,4 +4,3 @@ openbabel
|
|
4 |
pyarrow
|
5 |
huggingface_hub
|
6 |
datasets
|
7 |
-
protobuf
|
|
|
4 |
pyarrow
|
5 |
huggingface_hub
|
6 |
datasets
|
|