→ ax.clear() … close all figures? → plt.close(”all”) … remove ticks? → ax.set_xticks([]) … remove tick labels ? → ax.set_[xy]ticklabels([]) … rotate tick labels ? → ax.set_[xy]ticks(rotation=90) … hide top spine? → ax.spines[’top’].set_visible(False) …...
那么,直方图的这些“柱子”就是 BarContainer ,试下 BarContainer.remove() 或 ax.patches.clear() import numpy as np fig = plt.figure() ax = fig.add_subplot() hist = ax.hist(np.random.randn(1000), 50) hist[2].remove() # 柱子都没了 # 同样可以用 ax.patches.clear() ② 方法和容器 ...
[::12]] plt.xticks(ticks=xtick_location, labels=xtick_labels, rotation=0, fontsize=12, horizontalalignment='center', alpha=.7) plt.yticks(fontsize=12, alpha=.7) plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22) plt.grid(axis='both', alpha=.3) # Remove borders plt...
10), dpi= 80) sns.heatmap(df.corr(), xticklabels=df.corr().columns, yticklabels=df.corr().columns, cmap='RdYlGn', center=0, annot=True) # Decorations plt.title('Correlogram of mtcars', fontsize=22) plt.xticks(fontsize=12) plt.yticks(fontsize...
xticks(ticks=xtick_location, labels=xtick_labels, rotation=0, fontsize=12, horizontalalignment='center', alpha=.7) plt.yticks(fontsize=12, alpha=.7) plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22) plt.grid(axis='both', alpha=.3) # Remove borders plt.gca().spines[...
plt.xticks(fontsize=12); plt.yticks(fontsize=12) plt.title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show() 2. 带边界的气泡图 有时,您希望在边界内显示一组点以强调其重要性。在此示例...
如果需要明确指定刻度的位置,可以使用set_xticks和set_yticks方法,这两个方法根据坐标列表确定主刻度的位置。 如果要在刻度位置显示特定字符串,可以使用set_xticklabels和set_yticklabels方法。 x = np.linspace(-2 * np.pi, 2 * np.pi, 500)y = np.sin(x) * np.exp(-x**2/20)fig, axes = plt....
plt.xticks(fontsize=12); plt.yticks(fontsize=12) plt.title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show 2. 带边界的气泡图 有时,您希望在边界内显示一组点以强调其重要性。在此示例中,您将从应该被环绕的数据帧中获取记录,并将其传递给下面的代码...
[::12]]plt.xticks(ticks=xtick_location, labels=xtick_labels, rotation=0, fontsize=12, horizontalalignment='center', alpha=.7)plt.yticks(fontsize=12, alpha=.7)plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22)plt.grid(axis='both', alpha=.3)# Remove bordersplt.gca()....
How to remove some unused entries in a chart grid. Adding a secondary graphwithinthe main graph area can be a powerful technique to add context to you figure. This is totally doable using theinset_axes()function as suggested in the examples below: ...