Figure Folders¶
Summary¶
Figure folders contain images written by PyFLASH plotting and pipeline
functions. Most ordinary plots save editable-text SVG files through
PyFLASH.utils.save_fig(...). A few outputs are PNGs: normality Q-Q
diagnostics, pipeline overview montages, and model-sweep summary plots.
Use figure folders when you need publication figures, quick visual inspection, or a way to locate plot-adjacent CSV statistics.
Created By¶
| Function or workflow | What it writes |
|---|---|
Plot functions such as plot_mean_bars, plot_regressions, plot_matrices, and plot_images with save=True |
SVG figures below experiment.fig_path or batch.fig_path. |
PyFLASH.utils.save_fig(...) |
The shared save helper used by most plot functions. It creates the destination folder only when saving is enabled. |
Pipeline functions such as correlation, adjusted_correlation, data_overview, group_comparison, linear_model, and rhythm |
SVG figures inside a named pipeline run folder, plus ! Overview Montage.png when montage capture is enabled. |
Statistical plots routed through multipleComparisons(..., save_normality=True) |
A <metric>_normality.png diagnostic beside the figure/stat CSV for that plot. |
iterative_model_sweep with plot=True |
PNG model-sweep summary figures inside the sweep output folder. |
Folder Layout¶
For imported batches, the default figure root is:
For table-based or custom objects, fig_path can point somewhere else, but the
same rules apply.
General plot functions usually create a subfolder from the plot family and, for single-marker plots, the marker name. The helper that builds plot subfolders uses patterns such as:
<fig_path>/
Bars/
Period(h).svg
Period(h).csv
Period(h)_normality.png
Iba1/
Bars/
Iba1_Count.svg
Matrices/
Marker Correlation Matrix.svg
Pipeline figures are grouped by pipeline and run label:
<fig_path>/
Correlation Pipeline/
scn_correlations/
! Overview Montage.png
Matrices/
Pearson Correlation Matrix.svg
Pearson PValue Matrix.svg
gate_matrix.csv
Specificity and group labels are encoded into file names rather than deep
folders, for example Pearson Correlation Matrix_Diagnosis.AD.svg.
File Contents¶
| File type | Contents |
|---|---|
.svg |
Vector Matplotlib figure. PyFLASH sets svg.fonttype='none' at the save point so labels, ticks, legends, p-value annotations, and matrix text stay editable as text. Dense scatter/collection artists may be rasterized inside the SVG for file size. |
.png |
Raster figure. Used for normality diagnostics, pipeline montages, and model-sweep summaries. |
Plot-side .csv |
Statistics or data used by a specific plot, when the plot family writes one. For example, bar-chart statistics can sit beside the bar SVG. |
Matrices/*.csv |
Matrix values saved by pipeline matrix figures, such as coefficients, p-values, q-values, and gate masks. |
save_fig(...) sanitizes image names with strip_name(...), appends .svg,
uses the optional subfolder=..., and returns the full path it attempted to
save.
How To Reuse¶
List saved SVG files after a plotting session:
Find the newest pipeline montage:
from pathlib import Path
montages = sorted(Path(batch.fig_path).rglob("! Overview Montage.png"))
print(montages[-1] if montages else "No montage found")
Read a plot-side CSV, if the plot wrote one:
import pandas as pd
stats = pd.read_csv("analysis-output/Results/Python Figures/Bars/Period(h).csv")
print(stats.head())
Notes¶
save=Falseon a plot call should avoid writing figures for that call.Config.SAVE_MODE=Falsedisables writes insidesave_fig(...), but the function still returns the path it would use.Config.SKIP_EXISTING=Truemakessave_fig(...)skip an existing file unless the caller passesskip_existing=False.- Long Windows paths are handled with an extended-length path prefix. PyFLASH warns when the visible figure path is near the usual Windows path-length limit.
- Plot functions and pipelines may create additional subfolders, but the shared
rules are: figures live below
fig_path, output names are sanitized, and row-filter/group tags go into file names.