# MongoDf
[](https://github.com/VK/mongodf/actions/workflows/python-publish.yml)
[](https://pypi.org/project/mongodf)
A mongoDB to pandas DataFrame converter with a pandas filter style.
## Install
```
pip install mongodf
```
## Filter Example
```python
import mongodf
import pymongo
mongo = pymongo.MongoClient("mongodb://mongo:27017")
# create a dataframe from a mongoDB collection
df = mongodf.from_mongo(mongo, "DB", "Collection")
# filter values
df = df[(df["colA"] == "Test") & (df.ColB.isin([1, 2]))]
# filter columns
df = df[["colA", "colC"]]
# compute a pandas.DataFrame
df.compute()
```
| | colA | colC |
|---| ----- | ---- |
|0 | Test | NaN |
|1 | Test | 12 |
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"description": "# MongoDf\n\n[](https://github.com/VK/mongodf/actions/workflows/python-publish.yml)\n[](https://pypi.org/project/mongodf)\n\nA mongoDB to pandas DataFrame converter with a pandas filter style.\n\n## Install\n```\npip install mongodf\n```\n\n## Filter Example\n```python\nimport mongodf\nimport pymongo\n\nmongo = pymongo.MongoClient(\"mongodb://mongo:27017\")\n\n# create a dataframe from a mongoDB collection\ndf = mongodf.from_mongo(mongo, \"DB\", \"Collection\")\n\n# filter values\ndf = df[(df[\"colA\"] == \"Test\") & (df.ColB.isin([1, 2]))]\n\n# filter columns\ndf = df[[\"colA\", \"colC\"]]\n\n# compute a pandas.DataFrame\ndf.compute()\n```\n\n| | colA | colC |\n|---| ----- | ---- |\n|0 | Test | NaN |\n|1 | Test | 12 |\n",
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