Hydrograph
Chart overview
A hydrograph plots river discharge over time and conventionally pairs it with an inverted precipitation bar chart on a secondary y-axis to show the rainfall-runoff relationship.
Key points
- Hydrologists use it to identify storm event responses, baseflow recession rates, snowmelt contributions, and catchment lag times.
- It is the foundational figure in flood frequency analysis, watershed model calibration, and water resource management reports.
Example Visualization
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Generate publication-ready hydrographs with AI in seconds. No coding required – just describe your data and let AI do the work.
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"Create a hydrograph from my discharge and precipitation time series data. Plot discharge as a filled area line on the primary y-axis, add inverted precipitation bars on a secondary y-axis at the top, color the discharge line blue and precipitation bars gray, mark peak flow events, and format the x-axis as dates."
How to create this chart in 30 seconds
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AI Generation
Our AI analyzes your data and generates the Hydrograph code automatically.
Customize & Export
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Python Code Example
Console Output
Figure saved: plotivy-hydrograph.png
Common Use Cases
- 1Analyzing storm event rainfall-runoff response in a gauged catchment
- 2Calibrating a rainfall-runoff model by comparing simulated vs. observed discharge
- 3Identifying baseflow separation for groundwater recharge estimation
- 4Assessing the impact of land use change on peak flow magnitudes
Pro Tips
Invert the secondary precipitation axis so bars hang from the top, following hydrological convention
Use a log scale on the discharge axis to highlight both low-flow and flood conditions simultaneously
Shade the area between simulated and observed discharge to visualize model error
Mark the timing of significant storm events with vertical dashed lines and annotations
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.