def test_timeseries(fm):
fm_with_time = fm.reset_index()
fm_with_time['time'] = pd.to_datetime(fm_with_time['time'])
col_1 = fm_with_time['time']
col_2 = fm_with_time['label']
hplot.show(hplot.timeseries(col_1, col_2))
hplot.show(hplot.timeseries(col_1, col_2), static=True)
def test_gridplot(fm):
p1 = hplot.show(hplot.histogram(fm['flights.distance_group']),
fig=True,
static=True)
p2 = hplot.show(hplot.histogram(fm['flights.distance_group'], n_bins=15),
fig=True,
static=True)
hplot.gridplot([p1, p2], n_cols=2)
hplot.gridplot([[p1], [p2]])
def test_modify_plot(fm):
hplot.show(hplot.histogram(fm['flights.distance_group']),
width=300,
height=300,
title='Distance Histogram',
x_axis='axis x',
y_axis='axis y',
x_range=(0, 1000),
y_range=(0, 1000))
def test_color(fm):
colors = ['white', '#000000', 'green']
hplot.show(hplot.histogram(fm['flights.distance_group']), colors=colors)
hplot.show(hplot.piechart(fm['flights.dest']), colors=colors)
hplot.show(hplot.scatter(fm['distance'], fm['distance']), colors=colors)
fm_with_time = fm.reset_index()
fm_with_time['time'] = pd.to_datetime(fm_with_time['time'])
col_1 = fm_with_time['time']
col_2 = fm_with_time['label']
hplot.show(hplot.timeseries(col_1, col_2), colors=colors)
def test_dend_plot(fit_dend):
show(dendrogram(fit_dend), static=True)
show(dendrogram(fit_dend))
def test_f1(Xy):
X, y = Xy
hplot.show(hplot.f1(X, y, RandomForestClassifier()))
def test_roc_auc(Xy):
X, y = Xy
hplot.show(hplot.roc_auc(X, y, RandomForestClassifier(), n_splits=3))
def test_scatter(fm):
col_1 = fm['scheduled_elapsed_time']
col_2 = fm['distance']
agg = fm['flights.carrier']
hplot.show(hplot.scatter(col_1, col_2, agg))
hplot.show(hplot.scatter(col_1, col_2, agg), static=True)
def test_histogram(fm):
hplot.show(hplot.histogram(fm['flights.distance_group']))
hplot.show(hplot.histogram(fm['flights.distance_group']), static=True)
def test_piechart(fm):
hplot.show(hplot.piechart(fm['flights.carrier']))
hplot.show(hplot.piechart(fm['flights.carrier']), static=True)