我正在尝试在Python中定义GLib.Variant数据类型，以便将其与pydbus库一起使用。这是我尝试这样做的：
#!/usr/bin/python
from gi.repository import GLib
from pydbus import SessionBus
var1 = GLib.Variant.new_variant('draw-cursor', False)
var2 = GLib.Variant.new_variant('framerate', 30)
bus = SessionBus()
calling = bus.get('org.gnome.Shell.Screencast', '/org/gnome/Shell/Screencast')
calling.Screencast('out.webm', {var1, var2})
然而它说TypeError: GLib.Variant.new_variant() takes exactly 1 argument (2 given)。我可以清楚地看到。但是，我如何为我将要定义的值分配值？它不应该是像{'framerate': 30}这样的词典吗？
答案 0 :(得分：1)
options参数的类型为import plotly
import numpy
n = 50000 #number of random points for heatmaps/histograms
#location of the annotations
anno_x = [0.05, 0.6]
anno_y = [0.8, 0.00]
#the ranges of all subplots, [row][x, y]
row_range = list()
row_range.append([[0, 7.25], [35, 105]])
row_range.append([[25, 225], [425, 775]])
row_range.append([[0, 5.25], [-5.25, 2.75]])
#label annotations for each subplot
labels = ['(a)', '(b)', '', '', '(c)', '(d)']
#create the subplot
fig = plotly.tools.make_subplots(rows=3, cols=2, subplot_titles=(('',) * 6))
#assign the annotations
annotations = list()
for i, label in enumerate(labels):
if label:
annotations.append(dict(text=label, x=anno_x[i % 2], y=anno_y[i // 3], xref='paper', yref='paper', showarrow=False))
else:
annotations.append(dict(showarrow=False, text=''))
fig['layout'].update(annotations=annotations)
#let's create some random data
trace1 = plotly.graph_objs.Scatter(
x=[i for i in range(8)],
y=[100 - i * numpy.random.randint(7) for i in range(8)],
name='',
showlegend=False,
)
fig.append_trace(trace1, 1, 1)
trace2 = plotly.graph_objs.Scatter(
x=[i for i in range(8)],
y=[100 - i * 5 + numpy.random.randint(2) for i in range(8)],
name='',
showlegend=False,
)
fig.append_trace(trace2, 1, 2)
#some random points for the 1st heatmap/histogram
trace3 = plotly.graph_objs.Histogram2d(
x=numpy.random.normal(loc=80, scale=50, size=n),
y=numpy.random.normal(loc=525, scale=200, size=n),
autobinx=False,
autobiny=False,
xbins=dict(start=row_range[1][0][0], end=row_range[1][0][1], size=5),
ybins=dict(start=row_range[1][1][0], end=row_range[1][1][1], size=5),
colorbar=dict(showticklabels=False)
)
fig.append_trace(trace3, 2, 1)
trace4 = plotly.graph_objs.Histogram2d(
x=numpy.random.normal(loc=50, scale=100, size=n),
y=numpy.random.normal(loc=550, scale=200, size=n),
showscale=False,
colorbar=dict(showticklabels=False)
)
fig.append_trace(trace4, 2, 2)
trace5 = plotly.graph_objs.Scatter(
x=[i for i in range(6)],
y=[0 - i + numpy.random.rand() for i in range(6)],
name='',
showlegend=False,
)
fig.append_trace(trace5, 3, 1)
trace6 = plotly.graph_objs.Scatter(
x=[i for i in range(6)],
y=[2 - i * 0.3 for i in range(6)],
name='',
showlegend=False,
)
fig.append_trace(trace6, 3, 2)
for i in range(1, 7):
fig['layout']['xaxis' + str(i)].update(range=row_range[((i - 1) // 2)][0])
fig['layout']['yaxis' + str(i)].update(range=row_range[((i - 1) // 2)][1])
plot_url = plotly.plotly.plot(fig)
，因此您可能需要明确提供类型：
a{sv}答案 1 :(得分：0)
第二次失败（AttributeError: 'Variant' object has no attribute 'items'）似乎是因为pydbus希望你传入dict，而不是GLib.Variant，并且无条件地包裹你通过的任何内容它在GLib.Variant。这意味着它会尝试从items变体中获取options，但由于GLib.Variant不支持，因此失败了。
此代码适用于pydbus：
calling.Screencast('out.webm', {
'draw-cursor': GLib.Variant('b', False),
'framerate': GLib.Variant('i', 30)
})