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authorTodd Leonhardt <todd.leonhardt@gmail.com>2018-12-06 12:29:29 -0500
committerGitHub <noreply@github.com>2018-12-06 12:29:29 -0500
commitea182bbea386288b1acfbc35c99243a457ff1036 (patch)
treed3641a78217bbb79cbe039f80648b44b2fbdd0a4 /examples/table_display.py
parent709af49a7f161c98260cc5ddda736987fb0f1f23 (diff)
parent9d90c1eb57c62ba1fcd8e470fa2e27248e1e9064 (diff)
downloadcmd2-git-ea182bbea386288b1acfbc35c99243a457ff1036.tar.gz
Merge pull request #607 from python-cmd2/flake8
Fix flake8 issues
Diffstat (limited to 'examples/table_display.py')
-rwxr-xr-xexamples/table_display.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/examples/table_display.py b/examples/table_display.py
index 7541e548..04415afd 100755
--- a/examples/table_display.py
+++ b/examples/table_display.py
@@ -52,11 +52,11 @@ EXAMPLE_ITERABLE_DATA = [['Shanghai (上海)', 'Shanghai', 'China', 'Asia', 2418
['Guangzho (广州市)', 'Guangdong', 'China', 'Asia', 13081000, 1347.81],
['Mumbai (मुंबई)', 'Maharashtra', 'India', 'Asia', 12442373, 465.78],
['Istanbul (İstanbuld)', 'Istanbul', 'Turkey', 'Eurasia', 12661000, 620.29],
- ]
+ ]
# Calculate population density
for row in EXAMPLE_ITERABLE_DATA:
- row.append(row[-2]/row[-1])
+ row.append(row[-2] / row[-1])
# Column headers plus optional formatting info for each column
@@ -69,7 +69,7 @@ COLUMNS = [tf.Column('City', width=11, header_halign=tf.ColumnAlignment.AlignCen
cell_halign=tf.ColumnAlignment.AlignRight, formatter=two_dec),
tf.Column('Pop. Density (/km²)', width=12, header_halign=tf.ColumnAlignment.AlignCenter,
cell_halign=tf.ColumnAlignment.AlignRight, formatter=no_dec),
- ]
+ ]
# ######## Table data formatted as an iterable of python objects #########
@@ -119,7 +119,7 @@ OBJ_COLS = [tf.Column('City', attrib='city', header_halign=tf.ColumnAlignment.Al
cell_halign=tf.ColumnAlignment.AlignRight, formatter=two_dec),
tf.Column('Pop. Density (/km²)', width=12, header_halign=tf.ColumnAlignment.AlignCenter,
cell_halign=tf.ColumnAlignment.AlignRight, obj_formatter=pop_density),
- ]
+ ]
EXTREMELY_HIGH_POULATION_DENSITY = 25000