Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 1 addition & 2 deletions pandas/tests/indexing/multiindex/conftest.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,7 @@ def multiindex_dataframe_random_data():
def multiindex_year_month_day_dataframe_random_data():
"""DataFrame with 3 level MultiIndex (year, month, day) covering
first 100 business days from 2000-01-01 with random data"""
tm.N = 100
tdf = tm.makeTimeDataFrame()
tdf = tm.makeTimeDataFrame(100)
ymd = tdf.groupby([lambda x: x.year, lambda x: x.month,
lambda x: x.day]).sum()
# use Int64Index, to make sure things work
Expand Down
5 changes: 1 addition & 4 deletions pandas/tests/plotting/test_datetimelike.py
Original file line number Diff line number Diff line change
Expand Up @@ -313,10 +313,7 @@ def test_business_freq(self):

@pytest.mark.slow
def test_business_freq_convert(self):
n = tm.N
tm.N = 300
bts = tm.makeTimeSeries().asfreq('BM')
tm.N = n
bts = tm.makeTimeSeries(300).asfreq('BM')
ts = bts.to_period('M')
_, ax = self.plt.subplots()
bts.plot(ax=ax)
Expand Down
4 changes: 2 additions & 2 deletions pandas/tests/series/test_alter_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,8 +22,8 @@ def test_setindex(self, string_series):
string_series.index = None

# wrong length
msg = (r"Length mismatch: Expected axis has (30|100) elements, new"
r" values have (29|99) elements")
msg = ("Length mismatch: Expected axis has 30 elements, new"
" values have 29 elements")
with pytest.raises(ValueError, match=msg):
string_series.index = np.arange(len(string_series) - 1)

Expand Down
3 changes: 1 addition & 2 deletions pandas/tests/test_multilevel.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,8 +47,7 @@ def setup_method(self, method):
s[3] = np.NaN
self.series = s

tm.N = 100
self.tdf = tm.makeTimeDataFrame()
self.tdf = tm.makeTimeDataFrame(100)
self.ymd = self.tdf.groupby([lambda x: x.year, lambda x: x.month,
lambda x: x.day]).sum()

Expand Down