8000 Stop using np.{builtin}, and fix bugs due to the previous confusion by eric-wieser · Pull Request #8996 · matplotlib/matplotlib · GitHub
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Stop using np.{builtin}, and fix bugs due to the previous confusion #8996

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Merged
merged 2 commits into from
Aug 6, 2017
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Stop using np.{builtin}, and fix bugs due to the previous confusion #8996

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c9612cc
MAINT: Use builtin when np.{x} is builtins.{x}.
eric-wieser Aug 6, 2017
7b8883c
BUG: Use np.integer instead of int, to allow unsigned integers
eric-wieser Aug 6, 2017
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BUG: Use np.integer instead of int, to allow unsigned integers 
Additionally, make the fixes needed to avoid an incoming deprecation in numpy/numpy#9505
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@eric-wieser
eric-wieser committed Aug 6, 2017
commit 7b8883cacb2a29c33ef2edaf02b3a55dbc772998
6 changes: 3 additions & 3 deletions lib/matplotlib/mlab.py
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Expand Up @@ -3136,17 +3136,17 @@ def get_type(item, atype=int):
def get_justify(colname, column, precision):
ntype = column.dtype

if np.issubdtype(ntype, str) or np.issubdtype(ntype, bytes):
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This didn't catch unicode on python 2, but did on python 3

if np.issubdtype(ntype, np.character):
fixed_width = int(ntype.str[2:])
length = max(len(colname), fixed_width)
return 0, length+padding, "%s" # left justify

if np.issubdtype(ntype, int):
if np.issubdtype(ntype, np.integer):
length = max(len(colname),
np.max(list(map(len, list(map(str, column))))))
return 1, length+padding, "%d" # right justify

if np.issubdtype(ntype, float):
if np.issubdtype(ntype, np.floating):
fmt = "%." + str(precision) + "f"
length = max(
len(colname),
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