如何在此图的直方图上自定义标题和轴标签?
How to give customize the title and the axis labels on the histogram of this plot?
我想在直方图 y-axis 的右侧添加标题 'Magnitude'。还想在框架内添加散点图标题。怎么做?我可以使用 one-liner 添加这些功能吗?
我的代码和输出图如下
# definitions for the axes
left, width = 0.1, 0.65 #width : width of the main plot(Xaxis length)
bottom, height = 0.1, 0.4 #height : height of the main plot(Yaxis length)
spacing = 0.010 # gap between the plots
rect_scatter = [left, bottom, width, height]
rect_histx = [left, bottom + height + spacing, width, 0.2]
rect_histy = [left + width + spacing, bottom, 0.2, height]
# start with a square Figure
fig = plt.figure(figsize=(8, 10))
ax = fig.add_axes(rect_scatter)
ax_histx = fig.add_axes(rect_histx, sharex=ax)
ax_histy = fig.add_axes(rect_histy, sharey=ax)
# use the previously defined function
scatter_hist(df.YearDeci,df.Magnitude,ax,ax_histx,ax_histy,binx,biny)
ax.set_xticks(np.arange(t1,t2,5))
extraticks=[2018]
ax.set_xticks(list(ax.get_xticks()) + extraticks)
plt.show()
#######################################################
def scatter_hist(x, y,ax,ax_histx,ax_histy,binx,biny):
# no labels
ax_histx.tick_params(axis="x", labelbottom=False)
ax_histx.set(ylabel='Number of events',title='Time',facecolor='lightgray')
ax_histy.tick_params(axis="y", labelleft=False)
ax_histy.set(xlabel='Number of events',facecolor='lightgray')
ax_histy.yaxis.set_label_position("right")
# the scatter plot:
ax.scatter(x, y, facecolor='yellow', alpha=0.75,edgecolor='black',linewidth=0.5,s=30)
plt.setp(ax.get_xticklabels(), rotation = 90,fontsize=10)
ax.set(xlabel='Time',ylabel='Number of events',facecolor='lightgray')
# now determine nice limits by hand:
ax_histx.hist(x, bins=binx, density=False, facecolor='r', alpha=0.75,edgecolor='black',linewidth=0.5)
ax_histy.hist(y, bins=biny, density=False, facecolor='r', alpha=0.75,edgecolor='black',linewidth=0.5,orientation='horizontal')
而不是标题,只需向该轴添加文本。您可以随意旋转和定位它。 Here 是一个例子。
ax_histy.text(left + width + spacing + 0.2 + 0.1, bottom + 0.5*height, 'test',
horizontalalignment='center',
verticalalignment='center',
rotation=270,
fontsize=12,
transform=ax_histy.transAxes)
似乎适合您的情况。调整位置和大小,按照您想要的方式获得它。
我想在直方图 y-axis 的右侧添加标题 'Magnitude'。还想在框架内添加散点图标题。怎么做?我可以使用 one-liner 添加这些功能吗?
我的代码和输出图如下
# definitions for the axes
left, width = 0.1, 0.65 #width : width of the main plot(Xaxis length)
bottom, height = 0.1, 0.4 #height : height of the main plot(Yaxis length)
spacing = 0.010 # gap between the plots
rect_scatter = [left, bottom, width, height]
rect_histx = [left, bottom + height + spacing, width, 0.2]
rect_histy = [left + width + spacing, bottom, 0.2, height]
# start with a square Figure
fig = plt.figure(figsize=(8, 10))
ax = fig.add_axes(rect_scatter)
ax_histx = fig.add_axes(rect_histx, sharex=ax)
ax_histy = fig.add_axes(rect_histy, sharey=ax)
# use the previously defined function
scatter_hist(df.YearDeci,df.Magnitude,ax,ax_histx,ax_histy,binx,biny)
ax.set_xticks(np.arange(t1,t2,5))
extraticks=[2018]
ax.set_xticks(list(ax.get_xticks()) + extraticks)
plt.show()
#######################################################
def scatter_hist(x, y,ax,ax_histx,ax_histy,binx,biny):
# no labels
ax_histx.tick_params(axis="x", labelbottom=False)
ax_histx.set(ylabel='Number of events',title='Time',facecolor='lightgray')
ax_histy.tick_params(axis="y", labelleft=False)
ax_histy.set(xlabel='Number of events',facecolor='lightgray')
ax_histy.yaxis.set_label_position("right")
# the scatter plot:
ax.scatter(x, y, facecolor='yellow', alpha=0.75,edgecolor='black',linewidth=0.5,s=30)
plt.setp(ax.get_xticklabels(), rotation = 90,fontsize=10)
ax.set(xlabel='Time',ylabel='Number of events',facecolor='lightgray')
# now determine nice limits by hand:
ax_histx.hist(x, bins=binx, density=False, facecolor='r', alpha=0.75,edgecolor='black',linewidth=0.5)
ax_histy.hist(y, bins=biny, density=False, facecolor='r', alpha=0.75,edgecolor='black',linewidth=0.5,orientation='horizontal')
而不是标题,只需向该轴添加文本。您可以随意旋转和定位它。 Here 是一个例子。
ax_histy.text(left + width + spacing + 0.2 + 0.1, bottom + 0.5*height, 'test',
horizontalalignment='center',
verticalalignment='center',
rotation=270,
fontsize=12,
transform=ax_histy.transAxes)
似乎适合您的情况。调整位置和大小,按照您想要的方式获得它。