def test_time_markers():
return tstoolbox.plot(type='time',
columns=[2, 3],
linestyles=' ',
markerstyles='auto',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_double_mass_marker():
return tstoolbox.plot(type='double_mass',
columns=[2, 3, 3, 2],
linestyles=' ',
markerstyles='auto',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_lag_plot():
plt.close("all")
return tstoolbox.plot(columns=1,
type="lag_plot",
input_ts=df,
ofilename=None,
plot_styles="classic")
def test_time_multiple_traces_new_style_plot():
return tstoolbox.plot(type='time',
columns=[2,3],
markerstyles=' ,*',
linestyles='-, ',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_xy_multiple_traces_markers():
return tstoolbox.plot(type='xy',
columns=[2,3,3,2],
linestyles=' ',
markerstyles='auto',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_histogram():
plt.close("all")
return tstoolbox.plot(
type="histogram",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_xy_multiple_traces():
plt.close("all")
return tstoolbox.plot(
type="xy",
columns=[2, 3, 3, 2],
input_ts="tests/data_daily_sample.csv",
ofilename=None,
)
def test_double_mass():
plt.close("all")
return tstoolbox.plot(
type="double_mass",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_double_mass_mult():
plt.close("all")
return tstoolbox.plot(
type="double_mass",
columns=[2, 3, 3, 2],
input_ts="tests/data_daily_sample.csv",
ofilename=None,
)
def test_scatter_matrix():
plt.close("all")
return tstoolbox.plot(
type="scatter_matrix",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_probability_density():
plt.close("all")
return tstoolbox.plot(
type="probability_density",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_weibull_yaxis():
plt.close("all")
return tstoolbox.plot(
type="weibull_yaxis",
columns=2,
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_xy():
plt.close("all")
return tstoolbox.plot(
type="xy",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
plot_styles="classic",
)
def test_time_plot():
plt.close("all")
return tstoolbox.plot(
type="time",
columns=1,
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
)
def test_autocorrelation():
plt.close("all")
return tstoolbox.plot(
type="autocorrelation",
columns=2,
input_ts=df,
ofilename=None,
plot_styles="classic",
)
def test_time_multiple_traces_plot():
plt.close("all")
return tstoolbox.plot(
type="time",
columns=[2, 3],
style="b-,r*",
input_ts="tests/data_daily_sample.csv",
ofilename=None,
)
def test_kde_time_multiple_traces():
ndf = tstoolbox.read(['tests/daily.csv',
'tests/02325000_flow.csv'])
return tstoolbox.plot(type='kde_time',
columns=[2, 3],
clean=True,
input_ts=ndf,
ytitle='Flow',
ofilename=None)
def test_heatmap():
plt.close("all")
return tstoolbox.plot(
type="heatmap",
columns=2,
clean=True,
input_ts=df,
ofilename=None,
plot_styles="classic",
)
def test_lognorm_yaxis():
plt.close("all")
return tstoolbox.plot(
type="lognorm_yaxis",
columns=2,
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
plot_styles="classic",
)
def test_time_multiple_traces_new_style_plot():
plt.close("all")
return tstoolbox.plot(
type="time",
columns=[2, 3],
markerstyles=" ,*",
linestyles="-, ",
input_ts="tests/data_daily_sample.csv",
ofilename=None,
)
def test_double_mass_marker():
plt.close("all")
return tstoolbox.plot(
type="double_mass",
columns=[2, 3, 3, 2],
linestyles=" ",
markerstyles="auto",
input_ts="tests/data_daily_sample.csv",
ofilename=None,
)
def test_boxplot():
ndf = tstoolbox.read(['tests/02234500_65_65.csv',
'tests/02325000_flow.csv'],
clean=True,
append='combine')
return tstoolbox.plot(input_ts=ndf,
clean=True,
columns=[2, 3],
type='boxplot',
ofilename=None)
def test_xy_multiple_traces_logx():
plt.close("all")
return tstoolbox.plot(
type="xy",
columns=[2, 3, 3, 2],
xaxis="log",
input_ts="tests/data_daily_sample.csv",
ofilename=None,
plot_styles="classic",
)
def test_histogram():
plt.close("all")
return tstoolbox.plot(
type="histogram",
clean=True,
input_ts="tests/02234500_65_65.csv",
ofilename=None,
sharex=False,
plot_styles="classic",
)
def test_kde_time_multiple_traces():
plt.close("all")
ndf = tstoolbox.read(["tests/daily.csv", "tests/02325000_flow.csv"])
return tstoolbox.plot(
type="kde_time",
columns=[2, 3],
clean=True,
input_ts=ndf,
ytitle="Flow",
ofilename=None,
)
def test_time_markers():
plt.close("all")
return tstoolbox.plot(
type="time",
columns=[2, 3],
linestyles=" ",
markerstyles="auto",
input_ts="tests/data_daily_sample.csv",
ofilename=None,
plot_styles="classic",
)
def test_boxplot():
plt.close("all")
xdf = tstoolbox.read(
["tests/02234500_65_65.csv", "tests/02325000_flow.csv"],
clean=True,
append="combine",
)
return tstoolbox.plot(input_ts=xdf,
clean=True,
columns=[2, 3],
type="boxplot",
ofilename=None)
def test_autocorrelation():
return tstoolbox.plot(type='autocorrelation',
columns=2,
input_ts=df,
ofilename=None)
def test_double_mass_mult():
return tstoolbox.plot(type='double_mass',
columns=[2,3,3,2],
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_time_multiple_traces_style_plot():
return tstoolbox.plot(type='time',
columns=[2,3],
style='b-,r ',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_weibull_yaxis():
return tstoolbox.plot(type='weibull_yaxis',
columns=2,
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
def test_scatter_matrix():
return tstoolbox.plot(type='scatter_matrix',
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
def test_barh_stacked():
return tstoolbox.plot(type='barh_stacked',
input_ts=dfa,
ofilename=None)
def test_barh_stacked():
plt.close("all")
return tstoolbox.plot(type="barh_stacked", input_ts=dfa, ofilename=None)
def test_probability_density():
return tstoolbox.plot(type='probability_density',
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
def test_bar_stacked():
plt.close("all")
return tstoolbox.plot(type="bar_stacked",
input_ts=dfa,
plot_styles="classic",
ofilename=None)
def test_bar():
return tstoolbox.plot(type='bar',
input_ts=dfa,
ofilename=None)
def test_heatmap():
return tstoolbox.plot(type='heatmap',
columns=2,
clean=True,
input_ts=df,
ofilename=None)
def test_xy():
return tstoolbox.plot(type='xy',
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
def test_xy_multiple_traces_logx():
return tstoolbox.plot(type='xy',
columns=[2,3,3,2],
xaxis='log',
input_ts='tests/data_daily_sample.csv',
ofilename=None)
def test_lag_plot():
return tstoolbox.plot(columns=1,
type='lag_plot',
input_ts=df,
ofilename=None)
def test_kde_time():
return tstoolbox.plot(type='kde_time',
columns=2,
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
def test_double_mass():
return tstoolbox.plot(type='double_mass',
clean=True,
input_ts='tests/02234500_65_65.csv',
ofilename=None)
