# EGU26 talk plots


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## Slide 5 — Overall coverage statistics

------------------------------------------------------------------------

<a
href="https://github.com/michaelaye/p4tools/blob/main/p4tools/egu26.py#L55"
target="_blank" style="float:right; font-size:smaller">source</a>

### plot_slide_5

``` python

def plot_slide_5(
    coverage:pandas.DataFrame | None=None, version:str='v3.1', out:str | pathlib.Path | None=None
)->Path:

```

*Slide 5: cap-wide per-tile coverage histogram + KDE (talk context).*

## Slide 6 — Inter-annual

------------------------------------------------------------------------

<a
href="https://github.com/michaelaye/p4tools/blob/main/p4tools/egu26.py#L78"
target="_blank" style="float:right; font-size:smaller">source</a>

### plot_slide_6

``` python

def plot_slide_6(
    coverage:pandas.DataFrame | None=None, version:str='v3.1', out:str | pathlib.Path | None=None
)->Path:

```

*Slide 6: inter-annual KDE overlay per Mars Year (talk context).*

## Slide 7 — Inter-regional (one ROI per call)

------------------------------------------------------------------------

<a
href="https://github.com/michaelaye/p4tools/blob/main/p4tools/egu26.py#L110"
target="_blank" style="float:right; font-size:smaller">source</a>

### plot_slide_7

``` python

def plot_slide_7(
    roi:str, coverage:pandas.DataFrame | None=None, version:str='v3.1', out:str | pathlib.Path | None=None
)->Path:

```

*Slide 7: per-MY small-multiples of coverage vs L_s for one ROI (talk
context).*