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@sakarpanta sakarpanta commented Mar 16, 2019

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codecov bot commented Mar 16, 2019

Codecov Report

Merging #25745 into master will decrease coverage by <.01%.
The diff coverage is 100%.

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@@ Coverage Diff @@ ## master #25745 +/- ## ========================================== - Coverage 91.25% 91.25% -0.01%  ========================================== Files 172 172 Lines 52977 52979 +2 ========================================== + Hits 48343 48344 +1  - Misses 4634 4635 +1
Flag Coverage Δ
#multiple 89.82% <100%> (ø) ⬆️
#single 41.74% <50%> (ø) ⬆️
Impacted Files Coverage Δ
pandas/core/frame.py 96.79% <ø> (ø) ⬆️
pandas/io/formats/format.py 98% <100%> (ø) ⬆️
pandas/util/testing.py 88.98% <0%> (-0.1%) ⬇️

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codecov bot commented Mar 16, 2019

Codecov Report

Merging #25745 into master will decrease coverage by 0.01%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@ ## master #25745 +/- ## ========================================== - Coverage 91.9% 91.89% -0.02%  ========================================== Files 175 175 Lines 52485 52501 +16 ========================================== + Hits 48235 48244 +9  - Misses 4250 4257 +7
Flag Coverage Δ
#multiple 90.44% <100%> (-0.01%) ⬇️
#single 40.73% <27.27%> (-0.16%) ⬇️
Impacted Files Coverage Δ
pandas/core/frame.py 96.79% <ø> (-0.12%) ⬇️
pandas/io/formats/format.py 97.91% <100%> (+0.01%) ⬆️
pandas/io/gbq.py 75% <0%> (-12.5%) ⬇️
pandas/core/sparse/frame.py 95.5% <0%> (-0.2%) ⬇️
pandas/compat/__init__.py 77.5% <0%> (-0.15%) ⬇️
pandas/plotting/_core.py 83.77% <0%> (-0.09%) ⬇️
pandas/core/computation/expr.py 96.7% <0%> (ø) ⬆️

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@gfyoung gfyoung added Output-Formatting __repr__ of pandas objects, to_string Numeric Operations Arithmetic, Comparison, and Logical operations labels Mar 16, 2019
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Can you add a whatsnew for v0.25?

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does this also change the notebook display? if so can we have a test for to_html() with notebook =True and False.

assert result == expected

def test_to_string_complex_float_formatting(self):
fmt.set_option('display.precision', 5)
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do we need to use the context manger here?

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yep

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can you use the context manager here

@jreback
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jreback commented Apr 5, 2019

can you merge master and see if you can update

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can you merge master and see if you can update

Done.

2 1 1.0 (1+0j) 1 True
3 1 1.0 (1+0j) 1 True
4 1 1.0 (1+0j) 1 True
int64 float64 complex128 object bool
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is there an extra space here?

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Yes. Good catch! Thanks.


if self.fixed_width:
return _trim_zeros(values, na_rep)
if is_complex:
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you can do the type check right here instead of above

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@sakarpanta sakarpanta Apr 11, 2019

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The problem with that is at that point the values object has been reassigned as values = np.array(values, dtype='object') and is no longer a complex type but an array with the complex numbers (or floats) as strings.

assert result == expected

def test_to_string_complex_float_formatting(self):
fmt.set_option('display.precision', 5)
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can you use the context manager here

(0.2739442392974528 + 0.23515228785438969j),
(0.26974928742135185 + 0.3250604054898979j)]})
result = df.to_string()
expected = (' x\n0 0.44678+0.07152j\n'
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do these have an extra space?

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@sakarpanta sakarpanta Apr 11, 2019

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No, this is how it would display normally.

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minor change. ping on green.

assert result == expected

def test_to_string_complex_float_formatting(self):
with pd.option_context('display.precision', 5):
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can you add the gh issue number as a comment

@jreback jreback added this to the 0.25.0 milestone Apr 12, 2019
@jreback jreback merged commit 90a85e0 into pandas-dev:master Apr 12, 2019
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jreback commented Apr 12, 2019

thanks @sakarpanta

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Labels

Numeric Operations Arithmetic, Comparison, and Logical operations Output-Formatting __repr__ of pandas objects, to_string

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