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import contextlib
import importlib.machinery
import importlib.util
import os
import pathlib
import sys
import tempfile
from unittest import mock
import matplotlib
import numpy as np
from pandas import (
DataFrame,
DatetimeIndex,
Series,
date_range,
)
try:
from pandas.plotting import andrews_curves
except ImportError:
from pandas.tools.plotting import andrews_curves
from pandas.plotting._core import _get_plot_backend
matplotlib.use("Agg")
class SeriesPlotting:
params = [["line", "bar", "area", "barh", "hist", "kde", "pie"]]
param_names = ["kind"]
def setup(self, kind):
if kind in ["bar", "barh", "pie"]:
n = 100
elif kind in ["kde"]:
n = 10000
else:
n = 1000000
self.s = Series(np.random.randn(n))
if kind in ["area", "pie"]:
self.s = self.s.abs()
def time_series_plot(self, kind):
self.s.plot(kind=kind)
class FramePlotting:
params = [
["line", "bar", "area", "barh", "hist", "kde", "pie", "scatter", "hexbin"]
]
param_names = ["kind"]
def setup(self, kind):
if kind in ["bar", "barh", "pie"]:
n = 100
elif kind in ["kde", "scatter", "hexbin"]:
n = 10000
else:
n = 1000000
self.x = Series(np.random.randn(n))
self.y = Series(np.random.randn(n))
if kind in ["area", "pie"]:
self.x = self.x.abs()
self.y = self.y.abs()
self.df = DataFrame({"x": self.x, "y": self.y})
def time_frame_plot(self, kind):
self.df.plot(x="x", y="y", kind=kind)
class TimeseriesPlotting:
def setup(self):
N = 2000
M = 5
idx = date_range("1/1/1975", periods=N)
self.df = DataFrame(np.random.randn(N, M), index=idx)
idx_irregular = DatetimeIndex(
np.concatenate((idx.values[0:10], idx.values[12:]))
)
self.df2 = DataFrame(
np.random.randn(len(idx_irregular), M), index=idx_irregular
)
def time_plot_regular(self):
self.df.plot()
def time_plot_regular_compat(self):
self.df.plot(x_compat=True)
def time_plot_irregular(self):
self.df2.plot()
def time_plot_table(self):
self.df.plot(table=True)
class Misc:
def setup(self):
N = 500
M = 10
self.df = DataFrame(np.random.randn(N, M))
self.df["Name"] = ["A"] * N
def time_plot_andrews_curves(self):
andrews_curves(self.df, "Name")
class BackendLoading:
repeat = 1
number = 1
warmup_time = 0
def setup(self):
mod = importlib.util.module_from_spec(
importlib.machinery.ModuleSpec("pandas_dummy_backend", None)
)
mod.plot = lambda *args, **kwargs: 1
with contextlib.ExitStack() as stack:
stack.enter_context(
mock.patch.dict(sys.modules, {"pandas_dummy_backend": mod})
)
tmp_path = pathlib.Path(stack.enter_context(tempfile.TemporaryDirectory()))
sys.path.insert(0, os.fsdecode(tmp_path))
stack.callback(sys.path.remove, os.fsdecode(tmp_path))
dist_info = tmp_path / "my_backend-0.0.0.dist-info"
dist_info.mkdir()
(dist_info / "entry_points.txt").write_bytes(
b"[pandas_plotting_backends]\n"
b"my_ep_backend = pandas_dummy_backend\n"
b"my_ep_backend0 = pandas_dummy_backend\n"
b"my_ep_backend1 = pandas_dummy_backend\n"
b"my_ep_backend2 = pandas_dummy_backend\n"
b"my_ep_backend3 = pandas_dummy_backend\n"
b"my_ep_backend4 = pandas_dummy_backend\n"
b"my_ep_backend5 = pandas_dummy_backend\n"
b"my_ep_backend6 = pandas_dummy_backend\n"
b"my_ep_backend7 = pandas_dummy_backend\n"
b"my_ep_backend8 = pandas_dummy_backend\n"
b"my_ep_backend9 = pandas_dummy_backend\n"
)
self.stack = stack.pop_all()
def teardown(self):
self.stack.close()
def time_get_plot_backend(self):
# finds the first my_ep_backend
_get_plot_backend("my_ep_backend")
def time_get_plot_backend_fallback(self):
# iterates through all the my_ep_backend[0-9] before falling back
# to importlib.import_module
_get_plot_backend("pandas_dummy_backend")
from .pandas_vb_common import setup # noqa: F401 isort:skip
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