Python matplotlib 和 subplots 属性
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matplotlib and subplots properties
提问by vandelay
I'm adding a matplotlib figure to a canvas so that I may integrate it with pyqt in my application. I were looking around and using plt.add_subplot(111)seem to be the way to go(?) But I cannot add any properties to the subplot as I may with an "ordinary" plot
我正在向画布添加一个 matplotlib 图，以便我可以在我的应用程序中将它与 pyqt 集成。我环顾四周，使用plt.add_subplot(111)似乎是要走的路（？）但我无法像使用“普通”图那样向子图添加任何属性
figure setup
图形设置
self.figure1 = plt.figure()
self.canvas1 = FigureCanvas(self.figure1)
self.graphtoolbar1 = NavigationToolbar(self.canvas1, frameGraph1)
hboxlayout = qt.QVBoxLayout()
hboxlayout.addWidget(self.graphtoolbar1)
hboxlayout.addWidget(self.canvas1)
frameGraph1.setLayout(hboxlayout)
creating subplot and adding data
创建子图并添加数据
df = self.quandl.getData(startDate, endDate, company)
ax = self.figure1.add_subplot(111)
ax.hold(False)
ax.plot(df['Close'], 'b-')
ax.legend(loc=0)
ax.grid(True)
I'd like to set x and y labels, but if I do ax.xlabel("Test")
我想设置 x 和 y 标签，但如果我这样做 ax.xlabel("Test")
AttributeError: 'AxesSubplot' object has no attribute 'ylabel'
which is possible if I did it by not using subplot
如果我不使用子图，这是可能的
plt.figure(figsize=(7, 4))
plt.plot(df['Close'], 'k-')
plt.grid(True)
plt.legend(loc=0)
plt.xlabel('value')
plt.ylabel('frequency')
plt.title('Histogram')
locs, labels = plt.xticks()
plt.setp(labels, rotation=25)
plt.show()
So I guess my question is, is it not possible to modify subplots further? Or is it possible for me to plot graphs in a pyqt canvas, without using subplots so that I may get benefit of more properties for my plots.
所以我想我的问题是，是否不可能进一步修改子图？或者我是否可以在 pyqt 画布中绘制图形，而不使用子图，以便我可以从我的图的更多属性中受益。
回答by Suever
plt.subplotreturns a subplot object which is a type of axes object. It has two methods for adding axis labels: set_xlabeland set_ylabel:
plt.subplot返回一个子图对象，它是一种轴对象。它有两种添加轴标签的方法：set_xlabel和set_ylabel：
ax = plt.subplot('111')
ax.set_xlabel('X Axis')
ax.set_ylabel('Y Axis')
You could also call plt.xlabeland plt.ylabel(like you did before) and specify the axes to which you want the label applied.
您还可以调用plt.xlabeland plt.ylabel（就像您之前所做的那样）并指定要应用标签的轴。
ax = plt.subplot('111')
plt.xlabel('X Axis', axes=ax)
plt.ylabel('Y Axis', axes=ax)
Since you only have one axes, you could also omit the axeskwarg since the label will automatically be applied to the current axes if one isn't specified.
由于您只有一个轴，您也可以省略axeskwarg，因为如果未指定，标签将自动应用于当前轴。
ax = plt.subplot('111')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
