Merge pull request matplotlib#18691 from anntzer/usd

Cleanup sample_data.

Author: QuLogic

doc/api/next_api_changes/removals/18691-AL.rst

@@ -0,0 +1,9 @@
+sample_data removals
+~~~~~~~~~~~~~~~~~~~~
+The sample datasets listed below have been removed.  Suggested replacements for
+demonstration purposes are listed in parentheses.
+- ``None_vs_nearest-pdf.png``,
+- ``aapl.npz`` (use ``goog.npz``),
+- ``ada.png``, ``grace_hopper.png`` (use ``grace_hopper.jpg``),
+- ``ct.raw.gz`` (use ``s1045.ima.gz``),
+- ``damodata.csv`` (use ``msft.csv``).

examples/images_contours_and_fields/image_clip_path.py

@@ -10,7 +10,7 @@
 import matplotlib.cbook as cbook
 
 
-with cbook.get_sample_data('grace_hopper.png') as image_file:
+with cbook.get_sample_data('grace_hopper.jpg') as image_file:
     image = plt.imread(image_file)
 
 fig, ax = plt.subplots()

examples/images_contours_and_fields/image_demo.py

@@ -43,7 +43,7 @@
 # It is also possible to show images of pictures.
 
 # A sample image
-with cbook.get_sample_data('ada.png') as image_file:
+with cbook.get_sample_data('grace_hopper.jpg') as image_file:
     image = plt.imread(image_file)
 
 fig, ax = plt.subplots()
@@ -53,12 +53,11 @@
 
 # And another image
 
-w, h = 512, 512
-
-with cbook.get_sample_data('ct.raw.gz') as datafile:
+# Data are 256x256 16-bit integers.
+w, h = 256, 256
+with cbook.get_sample_data('s1045.ima.gz') as datafile:
     s = datafile.read()
 A = np.frombuffer(s, np.uint16).astype(float).reshape((w, h))
-A /= A.max()
 
 fig, ax = plt.subplots()
 extent = (0, 25, 0, 25)
@@ -68,7 +67,7 @@
 x, y = zip(*markers)
 ax.plot(x, y, 'o')
 
-ax.set_title('CT density')
+ax.set_title('MRI')
 
 plt.show()
 

examples/text_labels_and_annotations/demo_annotation_box.py

@@ -78,8 +78,8 @@
 ax.add_artist(ab)
 
 # Annotate the 2nd position with another image (a Grace Hopper portrait)
-with get_sample_data("grace_hopper.png") as file:
-    arr_img = plt.imread(file, format='png')
+with get_sample_data("grace_hopper.jpg") as file:
+    arr_img = plt.imread(file)
 
 imagebox = OffsetImage(arr_img, zoom=0.2)
 imagebox.image.axes = ax

examples/text_labels_and_annotations/demo_text_path.py

@@ -52,7 +52,7 @@ def draw(self, renderer=None):
 
     # EXAMPLE 1
 
-    arr = plt.imread(get_sample_data("grace_hopper.png"))
+    arr = plt.imread(get_sample_data("grace_hopper.jpg"))
 
     text_path = TextPath((0, 0), "!?", size=150)
     p = PathClippedImagePatch(text_path, arr, ec="k",

examples/ticks_and_spines/centered_ticklabels.py

@@ -23,8 +23,8 @@
 import matplotlib.ticker as ticker
 import matplotlib.pyplot as plt
 
-# load some financial data; apple's stock price
-r = (cbook.get_sample_data('aapl.npz', np_load=True)['price_data']
+# load some financial data; Google's stock price
+r = (cbook.get_sample_data('goog.npz', np_load=True)['price_data']
      .view(np.recarray))
 r = r[-250:]  # get the last 250 days