def plot_multi_y(line_series_list, line_label_list, scatter_series_list,
scatter_label_list):
"""
第一条line做主轴,散点与主轴共用Y轴
:param line_series_list:
:param line_label_list:
:param scatter_series_list:
:param scatter_label_list:
:return:
"""
color_list = ['red', 'green', 'blue', 'yellow', 'pink', 'black', 'orange']
fig = plt.figure(1)
host_axes = HostAxes(fig, [0.1, 0.1, 0.6, 0.8])
fig.add_axes(host_axes)
host_axes.set_ylabel(line_label_list[0])
host_axes.axis['right'].set_visible(False)
host_axes.set_ylim(
min(line_series_list[0][1]) * 0.9,
max(line_series_list[0][1]) * 1.1)
host_axes.plot(line_series_list[0][0],
line_series_list[0][1],
label=line_label_list[0],
color=color_list[0])
label_offset = 0
# line_axes = []
for i in range(len(line_series_list) - 1):
axes = ParasiteAxes(host_axes, sharex=host_axes)
axes.set_ylabel(line_label_list[i + 1])
axis_line = axes.get_grid_helper().new_fixed_axis
axes.axis['right' + str(label_offset)] = axis_line(
loc='right', axes=axes, offset=(label_offset, 0))
axes.axis['right' + str(label_offset)].label.set_color(color_list[i +
1])
axes.axis['right' + str(label_offset)].major_ticks.set_color(
color_list[i + 1])
axes.axis['right' + str(label_offset)].major_ticklabels.set_color(
color_list[i + 1])
axes.axis['right' + str(label_offset)].line.set_color(color_list[i +
1])
label_offset += 40
axes.set_ylim(
min(line_series_list[i + 1][1]) * 0.9,
max(line_series_list[i + 1][1]) * 1.1)
axes.plot(line_series_list[i + 1][0],
line_series_list[i + 1][1],
label=line_label_list[i + 1],
color=color_list[i + 1])
# line_axes.append(axes)
host_axes.parasites.append(axes)
# scatter_axes = []
for i in range(len(scatter_series_list)): # 与主轴共用Y轴
# axes = ParasiteAxes(host_axes, sharex=host_axes)
# axes.set_ylabel(scatter_label_list[i])
# axis_line = axes.get_grid_helper().new_fixed_axis
# axes.axis['right' + str(label_offset)] = axis_line(loc='right', axes=axes, offset=(label_offset, 0))
color_item = color_list[len(line_label_list) + i + 1]
# axes.axis['right' + str(label_offset)].label.set_color(color_item)
# axes.axis['right' + str(label_offset)].major_ticks.set_color(color_item)
# axes.axis['right' + str(label_offset)].major_ticklabels.set_color(color_item)
# axes.axis['right' + str(label_offset)].line.set_color(color_item)
# label_offset += 40
# axes.set_ylim(min(scatter_series_list[i][1]), max(scatter_series_list[i][1]))
host_axes.scatter(scatter_series_list[i][0],
scatter_series_list[i][1],
label=scatter_label_list[i],
color=color_item)
# scatter_axes.append(axes)
# host_axes.parasites.append(axes)
host_axes.legend()
plt.show()
>>>>>>> f5b55f5735c94ec9573668b5d56b78a8eef2e8f7
offset = (60, 0)
new_axisline = par2._grid_helper.new_fixed_axis
par2.axis['right2'] = new_axisline(loc='right', axes=par2, offset=offset)
fig.add_axes(host)
host.set_xlim(0, fm + 1)
<<<<<<< HEAD
host.set_ylim(0, hm + 5)
host.set_xlabel('流量')
host.set_ylabel('功率')
host.set_ylabel('效率')
x = np.linspace(0, fm, 500)
y = headparameters[0] * x ** 2 + headparameters[1] * x + headparameters[2]
p1, = host.plot(x, y, label="HQ拟合曲线", color="black")
host.scatter(flow1, head1, label="HQ离散数据")
x1 = np.linspace(0, fm, 500)
y1 = powerparameters[0] * x ** 2 + powerparameters[1] * x + powerparameters[2]
p2, = par1.plot(x, y1, label="PQ拟合曲线", color="red")
par1.scatter(flow1, power1, label="PQ离散数据")
x2 = np.linspace(0, fm, 500)
y2 = effectparameters[0] * x ** 2 + effectparameters[1] * x + effectparameters[2]
p3, = par2.plot(x, y2, label="EQ拟合曲线", color="blue")
par2.scatter(flow1, effect, label="EQ离散数据")
par1.set_ylim(0, pm * 2)
par2.set_ylim(0, nm + 5)
host.legend()
par2.axis['right2'].major_ticklabels.set_color(p3.get_color()) # 刻度值颜色
par2.axis['right2'].set_axisline_style('-|>', size=1.5) # 轴的形状色
=======
