例如，norm = BoundaryNorm([-1, -0.5, 0.5, 1], 3)，将[-1,-0.5]，(-0.5,0.5)，[...
matplotlib.pyplot.ylim()for y-axis Setting the range/limit of x-axis To set the range/limit of thex-axis, you can simply use theplot.xlim()method by specifying the minimum and maximum limits. Consider the below-given example in which we are setting the limits for thex-axis: ...
ylim():It is a predefined method of the Pyplot module under the Matplotlib library. It allows to prepare or set the y-limits of the current axis. As the name suggests, it limits your view to that fixed set of units residing in the y axis....
Bug report Bug summary I trying to run my 1-year-old polar plot (made with matplotlib 2.0.0) but with current 2.2.2 version get "posx and posy should be finite values" error. I found out that the error is caused by the ax.set_ylim() meth...
def set_ylim3d(self, bottom=None, top=None, emit=True, auto=False, **kw): """ Set 3D y limits. See :meth:`matplotlib.axes.Axes.set_ylim` for full documentation. """ if 'ymin' in kw: bottom = kw.pop('ymin') if 'ymax' in kw: top = kw.pop('ymax') if kw: raise Valu...
这个函数不需要任何参数,直接调用即可。它会将坐标轴的视图限制(view limits)重置为数据限制(data limits)。 1.2 基本用法示例 让我们来看一个简单的例子,展示如何使用set_default_intervals()函数: importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y=np.sin(x)#...
.tickerimportScalarFormatterx=np.linspace(0,1,100)y=x**3fig,ax=plt.subplots()ax.plot(x,y)formatter=ScalarFormatter(useMathText=True)formatter.set_scientific(True)formatter.set_powerlimits((-2,2))ax.yaxis.set_major_formatter(formatter)plt.title("ScalarFormatter Example (how2matplo...
这个函数不需要任何参数,直接调用即可。它会将坐标轴的视图限制(view limits)重置为数据的默认范围。 1.2 基本用法示例 让我们通过一个简单的例子来看看这个函数的基本用法: importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形和坐标轴fig,ax...
(x,y,label='x^2')# 设置次要刻度ax.xaxis.set_minor_locator(MultipleLocator(0.25))# 使用FuncFormatter设置自定义格式ax.xaxis.set_minor_formatter(FuncFormatter(minor_formatter))ax.set_title('Using FuncFormatter - how2matplotlib.com')ax.legend()plt.grid(True,which='both',linestyle='-...
import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D theta = np.linspace(0, 2*np.pi, 100) z = np.linspace(0, 5, 100) r = z**1.5 x = r * np.sin(theta) y = r * np.cos(theta) ...