From 3a551012d15f1aee2f3ccf08a637aca511979282 Mon Sep 17 00:00:00 2001
From: Gratien <gratien@MacBook-Air.local>
Date: Mon, 16 Dec 2024 16:47:20 +0100
Subject: [PATCH] Remove raster.py

---
 pyproject.toml        |  5 ----
 src/meteole/raster.py | 66 -------------------------------------------
 2 files changed, 71 deletions(-)
 delete mode 100644 src/meteole/raster.py

diff --git a/pyproject.toml b/pyproject.toml
index 54526d4..a1d4542 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,14 +24,9 @@ dependencies = [
     "pandas>=2.0.0",
     "ecmwflibs>=0.6.3",
     "cfgrib>=0.0.11.0",
-    "numpy>=1.26.4",
-    "rasterio>=1.3.10",
     "requests>=2.31.0",
-    "tqdm>=4.66.4",
     "xarray>=2024.5.0",
     "xmltodict>=0.13.0",
-    "cartopy>=0.23.0",
-    "matplotlib>=3.8.4",
 ]
 
 [project.optional-dependencies]
diff --git a/src/meteole/raster.py b/src/meteole/raster.py
deleted file mode 100644
index 2111e94..0000000
--- a/src/meteole/raster.py
+++ /dev/null
@@ -1,66 +0,0 @@
-"""Functionnalities to deal with the raster data"""
-
-import cartopy.crs as ccrs
-import matplotlib.pyplot as plt
-import rasterio
-from cartopy import feature
-
-
-def open_tiff_file(filename):
-    """Ope, a tiff file."""
-    with rasterio.open(filename) as source:
-        field = source.read(1, masked=True)
-        transform = source.transform
-    return field, transform
-
-
-def plot_tiff_file(
-    filename,
-    data_type: str,
-    unit: str,
-    title: str | None = None,
-):
-    """
-    Plot a tiff file.
-
-    Parameters
-    ----------
-    filename : file
-       filename from a get coverage
-    data_type: str
-        datatype of the coverage : temperature,wind,humidity ...
-    unit: str
-        Unit of the coverage (°C, Kmh)
-    title: str, optional
-        Plot title
-
-    .. note::
-        This Function is more an "How-To" rather than a tool to use as is.
-
-    """
-    data_field, transform = open_tiff_file(filename=filename)
-    fig = plt.figure(figsize=(10, 10))
-    ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
-    im = ax.imshow(
-        data_field,
-        cmap="jet",
-        extent=[
-            transform[2],
-            transform[2] + transform[0] * data_field.shape[1],
-            transform[5] + transform[4] * data_field.shape[0],
-            transform[5],
-        ],
-    )
-    ax.add_feature(feature.BORDERS.with_scale("10m"), color="black", linewidth=1)
-    ax.add_feature(feature.COASTLINE.with_scale("10m"), color="black", linewidth=1)
-    cbar = plt.colorbar(im, ax=ax, shrink=0.5)
-    height = filename.stem.split("_")[0]
-    computed_at = filename.parent.stem.split("_")[-1]
-
-    cbar.set_label(f"{data_type}_{unit}")
-
-    if title is None:
-        ax.set_title(f"{data_type} at {height} above ground \n computed at {computed_at} ")
-    else:
-        ax.set_title(f"{title}_{computed_at}")
-    return ax