plt.title('Sin Function') plt.legend() plt.subplot(2, 1, 2) # 两行一列,当前选中第二个子图 plt.plot(x, y2, label='Cos') plt.title('Cos Function') plt.legend() plt.tight_layout() # 调整子图布局,防止重叠 plt.show() 在这个例子中,使用plt.subplot创建了两个子图,分别绘制了正弦和余...
hue_order(list, optional): 指定hue变量的顺序，默认为None。estimator(function, optional): 在每个类...
y2 = np.cos(x)# 创建子图plt.subplot(2,1,1)# 两行一列,当前选中第一个子图plt.plot(x, y1, label='Sin') plt.title('Sin Function') plt.legend() plt.subplot(2,1,2)# 两行一列,当前选中第二个子图plt.plot(x, y2, label='Cos') plt.title('Cos Function') plt.legend() plt.tig...
seaborn.pointplot(*, x=None, y=None, hue=None, data=None, order=None, hue_order=None, estimator=<function mean at 0x7fecadf1cee0>, ci=95, n_boot=1000, units=None, seed=None, markers='o', linestyles='-', dodge=False, join=True, scale=1, orient=None, color=None, palette=None...
Seaborn provides a scatterplot() axes-level function for this very purpose: Python In [2]: import matplotlib.pyplot as plt ...: import seaborn as sns ...: ...: ( ...: sns.scatterplot( ...: data=crossings, x="min_temp", y="max_temp" ...: ) ...: .set( ...: title=...
plt.title('Cos Function') plt.legend() plt.tight_layout() # 调整子图布局,防止重叠 plt.show() 在这个例子中,使用plt.subplot创建了两个子图,分别绘制了正弦和余弦函数。 Matplotlib还提供了大量的定制化选项,包括颜色、线型、标记等。例如: plt.plot(x, y, color='red', linestyle='--', marker='o...
To help select good palettes or colormaps using this system, you can use thechoose_cubehelix_palette()function in a notebook to launch an interactive app that will let you play with the different parameters. Passas_cmap=Trueif you want the function to return a colormap (rather than a list...
This function always treats one of the variables as categorical and draws data at ordinal positions (0, 1, … n) on the relevant axis, even when the data has a numeric or date type. 在大多数情况下,可以使用numpy或Python对象,但pandas对象更合适,因为关联的名称将用于注释坐标轴。此外,您可以为...
plt.title('Sin Function') plt.legend() plt.subplot(2,1,2) # 两行一列,当前选中第二个子图 plt.plot(x, y2, label='Cos') plt.title('Cos Function') plt.legend() plt.tight_layout() # 调整子图布局,防止重叠 plt.show() 在这个例子中,使用plt.subplot创建了两个子图,分别绘制了正弦和余弦...
Subplot grid for plotting pairwise relationships in a dataset. p=sns.PairGrid() p.map_diag Plot with a univariate function on each diagonal subplot p.map_lower Plot with a bivariate function on the lower diagonal subplots. p.map_offdiag ...