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Convert Sparse ASVs #26704

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Merged
merged 5 commits into from
Jun 16, 2019
Merged

Convert Sparse ASVs #26704

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990f5b8
CLN: filter sparse warnings in asv
TomAugspurger Jun 7, 2019
931135c
avoid warnings
TomAugspurger Jun 10, 2019
c99b723
Merge remote-tracking branch 'upstream/master' into asv-sparse
TomAugspurger Jun 10, 2019
f6320a5
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TomAugspurger Jun 11, 2019
e0d13c6
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TomAugspurger Jun 11, 2019
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30 changes: 11 additions & 19 deletions asv_bench/benchmarks/sparse.py
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Original file line number Diff line number Diff line change
@@ -1,9 +1,8 @@
import itertools

import numpy as np
import scipy.sparse
from pandas import (SparseSeries, SparseDataFrame, SparseArray, Series,
date_range, MultiIndex)

import pandas as pd
from pandas import MultiIndex, Series, SparseArray, date_range


def make_array(size, dense_proportion, fill_value, dtype):
Expand All @@ -25,10 +24,10 @@ def setup(self):
data = np.random.randn(N)[:-i]
idx = rng[:-i]
data[100:] = np.nan
self.series[i] = SparseSeries(data, index=idx)
self.series[i] = pd.Series(pd.SparseArray(data), index=idx)

def time_series_to_frame(self):
SparseDataFrame(self.series)
pd.DataFrame(self.series)


class SparseArrayConstructor:
Expand All @@ -51,16 +50,9 @@ def setup(self):
N = 1000
self.arr = np.arange(N)
self.sparse = scipy.sparse.rand(N, N, 0.005)
self.dict = dict(zip(range(N), itertools.repeat([0])))

def time_constructor(self):
SparseDataFrame(columns=self.arr, index=self.arr)

def time_from_scipy(self):
SparseDataFrame(self.sparse)

def time_from_dict(self):
SparseDataFrame(self.dict)
pd.DataFrame.sparse.from_spmatrix(self.sparse)


class FromCoo:
Expand All @@ -71,7 +63,7 @@ def setup(self):
shape=(100, 100))

def time_sparse_series_from_coo(self):
SparseSeries.from_coo(self.matrix)
pd.Series.sparse.from_coo(self.matrix)


class ToCoo:
Expand All @@ -82,12 +74,12 @@ def setup(self):
s[100] = -1.0
s[999] = 12.1
s.index = MultiIndex.from_product([range(10)] * 4)
self.ss = s.to_sparse()
self.ss = s.astype("Sparse")

def time_sparse_series_to_coo(self):
self.ss.to_coo(row_levels=[0, 1],
column_levels=[2, 3],
sort_labels=True)
self.ss.sparse.to_coo(row_levels=[0, 1],
column_levels=[2, 3],
sort_labels=True)


class Arithmetic:
Expand Down