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Merged
merged 1 commit into from
Feb 21, 2020
Merged

CLN: make tm.N, tm.K private #32138

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8 changes: 2 additions & 6 deletions doc/source/user_guide/reshaping.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@ Reshaping by pivoting DataFrame objects
:suppress:

import pandas._testing as tm
tm.N = 3

def unpivot(frame):
N, K = frame.shape
Expand All @@ -27,7 +26,7 @@ Reshaping by pivoting DataFrame objects
columns = ['date', 'variable', 'value']
return pd.DataFrame(data, columns=columns)

df = unpivot(tm.makeTimeDataFrame())
df = unpivot(tm.makeTimeDataFrame(3))

Data is often stored in so-called "stacked" or "record" format:

Expand All @@ -42,9 +41,6 @@ For the curious here is how the above ``DataFrame`` was created:

import pandas._testing as tm

tm.N = 3


def unpivot(frame):
N, K = frame.shape
data = {'value': frame.to_numpy().ravel('F'),
Expand All @@ -53,7 +49,7 @@ For the curious here is how the above ``DataFrame`` was created:
return pd.DataFrame(data, columns=['date', 'variable', 'value'])


df = unpivot(tm.makeTimeDataFrame())
df = unpivot(tm.makeTimeDataFrame(3))

To select out everything for variable ``A`` we could do:

Expand Down
28 changes: 14 additions & 14 deletions pandas/_testing.py
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Expand Up @@ -69,8 +69,8 @@

lzma = _import_lzma()

N = 30
K = 4
_N = 30
_K = 4
_RAISE_NETWORK_ERROR_DEFAULT = False

# set testing_mode
Expand Down Expand Up @@ -1794,45 +1794,45 @@ def all_timeseries_index_generator(k=10):

# make series
def makeFloatSeries(name=None):
index = makeStringIndex(N)
return Series(randn(N), index=index, name=name)
index = makeStringIndex(_N)
return Series(randn(_N), index=index, name=name)


def makeStringSeries(name=None):
index = makeStringIndex(N)
return Series(randn(N), index=index, name=name)
index = makeStringIndex(_N)
return Series(randn(_N), index=index, name=name)


def makeObjectSeries(name=None):
data = makeStringIndex(N)
data = makeStringIndex(_N)
data = Index(data, dtype=object)
index = makeStringIndex(N)
index = makeStringIndex(_N)
return Series(data, index=index, name=name)


def getSeriesData():
index = makeStringIndex(N)
return {c: Series(randn(N), index=index) for c in getCols(K)}
index = makeStringIndex(_N)
return {c: Series(randn(_N), index=index) for c in getCols(_K)}


def makeTimeSeries(nper=None, freq="B", name=None):
if nper is None:
nper = N
nper = _N
return Series(randn(nper), index=makeDateIndex(nper, freq=freq), name=name)


def makePeriodSeries(nper=None, name=None):
if nper is None:
nper = N
nper = _N
return Series(randn(nper), index=makePeriodIndex(nper), name=name)


def getTimeSeriesData(nper=None, freq="B"):
return {c: makeTimeSeries(nper, freq) for c in getCols(K)}
return {c: makeTimeSeries(nper, freq) for c in getCols(_K)}


def getPeriodData(nper=None):
return {c: makePeriodSeries(nper) for c in getCols(K)}
return {c: makePeriodSeries(nper) for c in getCols(_K)}


# make frame
Expand Down