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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
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")
from .pandas_vb_common import setup # noqa: F401 isort:skip
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