Welcome to hydropandas’s documentation!
Hydropandas is a Python package for reading, analyzing and writing (hydrological) timeseries data. Users can store a timeseries and metadata in a single object. This object inherits from a pandas DataFrame, with all its wonderful features, and is extended with custom methods and attributes related to hydrological timeseries.
Supported data sources
Currently supported datasources that can be read:
IMOD groundwater models
MODFLOW groundwater models
Pastastore, for managing Pastas timeseries and models
WISKI csv files
ObsCollection can be exported to: - Excel (with one tab for each time series and a single tab with all metadata) - Pastastore - Pickle - Shapefile/geopackage/geojson
See the table of contents to get started with hydropandas.
Contents:
- Getting started
- Examples gallery
- Hydropandas Objects
- Reading groundwater observations
- Read KNMI observations using hydropandas
- Hydropandas and Pastas
- Merging observations
- Merge observation collections
- Reading Bronhouderportaal BRO data
- Exploring groundwater data from Lizard
- Exploring measurements from fews
- Reading waterinfo observations
- Reading water connect observations
- Boreholes
- Reading Matroos observations
- User guide
- Hydropandas API-docs
- Contribute