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#### Goals
- We want to create metrics that allow us to analyze multiple precipitation data source to determine which data source is superior over a given time period.
- We want to use the precip …
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Plotting an errorbar for several step functions draws the error bars ignoring the steps:
```python
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data = pd.DataFrame(…
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### Overview
- Metric: $R^2$ from `lm()` of $Q_{week} = f(P_{week,month})$
- Each dataset has 12 monthly `lm()` created to compare weekly mean P with weekly mean Q
- Application: data sets are r…
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This issue is a continuation of the discussion originally in https://github.com/STOR-i/Changepoints.jl/issues/36 .
There we had the quote:
> From my point of view, is the very important part of…
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# First, understand how spatial units and data are currently processed
## How does EC process spatial units and data?
Where does preparation of units happen?
NUTS and GADM are downloaded and prep…
jnnr updated
2 months ago
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Include a Singularity spectrum code to understand the strength of the multifractality of the timeseries:
![Screenshot from 2020-07-03 17-57-57](https://user-images.githubusercontent.com/47757762/86…
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Hi,
Im not sure how you would categorize this but if we can do these, it will bring pygwalker to next level.
1) plot multiple measures on x-axis.
2) user able to customize which xaxis to set for …
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https://github.com/Rijkswaterstaat/wm-ws-dl/issues/38 describes missing extremes for some stations. Within the kenmerkendewaarden project there was a more extensive analysis carried out (station_list_…
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https://github.com/microsoft/msticpy/blob/main/msticpy/analysis/timeseries.py#L293-L299
Missing logic for time series anomaly detection for the case of
`(result["score"] > score_threshold) & (res…
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We want to get this out quickly as a first pass, so initially we’ll just tack this on to https://github.com/getsentry/timeseries-analysis-service. This allows us to use all the necessary ML dependenci…