Use get_sample_data(..., asfileobj=False) less.

The kwarg to switch the returned object is a bit unsightly, and in the
cases here genfromtxt handles the file object as input just fine.

Author: anntzer

galleries/examples/showcase/stock_prices.py

@@ -22,16 +22,10 @@
 from matplotlib.cbook import get_sample_data
 import matplotlib.transforms as mtransforms
 
-
-def convertdate(x):
-    return np.datetime64(x, 'D')
-
-
-fname = get_sample_data('Stocks.csv', asfileobj=False)
-stock_data = np.genfromtxt(fname, encoding='utf-8', delimiter=',',
-                           names=True, dtype=None, converters={0: convertdate},
-                           skip_header=1)
-
+with get_sample_data('Stocks.csv') as file:
+    stock_data = np.genfromtxt(
+        file, delimiter=',', names=True, dtype=None,
+        converters={0: lambda x: np.datetime64(x, 'D')}, skip_header=1)
 
 fig, ax = plt.subplots(1, 1, figsize=(6, 8), layout='constrained')
 

galleries/examples/subplots_axes_and_figures/figure_title.py

@@ -10,6 +10,7 @@
 We can also add figure-level x- and y-labels using `.FigureBase.supxlabel` and
 `.FigureBase.supylabel`.
 """
+
 import matplotlib.pyplot as plt
 import numpy as np
 
@@ -34,13 +35,10 @@
 # `.FigureBase.supylabel` methods.
 
 
-def convertdate(x):
-    return np.datetime64(x, 'D')
-
-fname = get_sample_data('Stocks.csv', asfileobj=False)
-stocks = np.genfromtxt(fname, encoding='utf-8', delimiter=',',
-                       names=True, dtype=None, converters={0: convertdate},
-                       skip_header=1)
+with get_sample_data('Stocks.csv') as file:
+    stocks = np.genfromtxt(
+        file, delimiter=',', names=True, dtype=None,
+        converters={0: lambda x: np.datetime64(x, 'D')}, skip_header=1)
 
 fig, axs = plt.subplots(4, 2, figsize=(9, 5), layout='constrained',
                         sharex=True, sharey=True)
@@ -51,3 +49,5 @@ def convertdate(x):
     ax.set_title(column_name, fontsize='small', loc='left')
 fig.supxlabel('Year')
 fig.supylabel('Stock price relative to max')
+
+plt.show()