curly brackets dict

choldgraf · choldgraf · commit b7e31f34d558 · 2017-05-05T14:05:59.000-07:00
diff --git a/doc/conf.py b/doc/conf.py
@@ -92,7 +92,7 @@ def _check_deps():
   'python': ('https://docs.python.org/', None),
   'numpy': ('https://docs.scipy.org/doc/numpy/', None),
   'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),
-  'pandas': ('https://pandas.pydata.org/pandas-docs/stable', None)
+  'pandas': ('http://pandas.pydata.org/pandas-docs/stable', None)
   }
 
 
diff --git a/examples/misc/keyword_plotting.py b/examples/misc/keyword_plotting.py
@@ -7,22 +7,22 @@
 access particular variables with strings. For example, with
 :class:`numpy.recarray` or :class:`pandas.DataFrame`.
 
-Matplotlib allows you provide such an object with
-the ``data`` keyword argument. If provided, then you may generate plots with
-the strings corresponding to these variables.
+Matplotlib allows you provide such an object with the ``data`` keyword
+argument. If provided, then you may generate plots with the strings
+corresponding to these variables.
 """
 
 import numpy as np
 import matplotlib.pyplot as plt
 np.random.seed(19680801)
 
-data = dict([('a', np.arange(50)),
-             ('c', np.random.randint(0, 50, 50)),
-             ('d', np.random.randn(50))])
+data = {'a': np.arange(50),
+        'c': np.random.randint(0, 50, 50),
+        'd': np.random.randn(50)}
 data['b'] = data['a'] + 10 * np.random.randn(50)
 data['d'] = np.abs(data['d']) * 100
 
 fig, ax = plt.subplots()
 ax.scatter('a', 'b', c='c', s='d', data=data)
-ax.set(xlabel='a', ylabel='b')
+ax.set(xlabel='entry a', ylabel='entry b')
 plt.show()
diff --git a/tutorials/01_introductory/pyplot.py b/tutorials/01_introductory/pyplot.py
@@ -107,15 +107,15 @@
 # the ``data`` keyword argument. If provided, then you may generate plots with
 # the strings corresponding to these variables.
 
-data = dict([('a', np.arange(50)),
-             ('c', np.random.randint(0, 50, 50)),
-             ('d', np.random.randn(50))])
+data = {'a': np.arange(50),
+        'c': np.random.randint(0, 50, 50),
+        'd': np.random.randn(50)}
 data['b'] = data['a'] + 10 * np.random.randn(50)
 data['d'] = np.abs(data['d']) * 100
 
-plt.plot('a', 'b', color='c', data=data)
-plt.xlabel('a')
-plt.ylabel('b')
+plt.scatter('a', 'b', c='c', s='d', data=data)
+plt.xlabel('entry a')
+plt.ylabel('entry b')
 plt.show()
 
 ###############################################################################

Original file line number	Diff line number	Diff line change
`@@ -92,7 +92,7 @@ def _check_deps():`
`92`	`92`	`'python': ('https://docs.python.org/', None),`
`93`	`93`	`'numpy': ('https://docs.scipy.org/doc/numpy/', None),`
`94`	`94`	`'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),`
`95`		`- 'pandas': ('https://pandas.pydata.org/pandas-docs/stable', None)`
	`95`	`+ 'pandas': ('http://pandas.pydata.org/pandas-docs/stable', None)`
`96`	`96`	`}`
`97`	`97`
`98`	`98`