Python bqplot-在绘图外打勾放置

Python bqplot-在绘图外打勾放置,python,bqplot,Python,Bqplot,我试着把x轴的记号放在绘图的一边,而不是从下面的x轴开始。关于如何实现这一点,你有什么建议吗 我的绘图位代码: x_data = df_ts.columns.values.tolist() y_end = df_ts.loc[end_date, :].values.flatten() y_start = df_ts.loc[start_date, :].values.flatten() x_sc = OrdinalScale() y_sc = LinearScale() ax_x = Axis

我试着把x轴的记号放在绘图的一边,而不是从下面的x轴开始。关于如何实现这一点,你有什么建议吗

我的绘图位代码:

x_data = df_ts.columns.values.tolist()
y_end = df_ts.loc[end_date, :].values.flatten()
y_start = df_ts.loc[start_date, :].values.flatten()

x_sc = OrdinalScale()
y_sc = LinearScale()
ax_x = Axis(label='RIC', scale=x_sc, grid_lines='solid', tick_rotate=90)
ax_y = Axis(label='%', scale=y_sc, orientation='vertical',tick_format='0.2f')

line = Lines(x=x_data, y=[y_end, y_start], scales={'x': x_sc, 'y': y_sc}, 
             display_legend=True, labels=[end_date, start_date], stroke_width=1)
bar = Bars(x=x_data, y=df_diff.tolist(), scales={'x': x_sc, 'y': y_sc}, padding=0.5)

fig = Figure(marks=[line, bar], axes=[ax_x, ax_y], title='Swap rates and differences', legend_location='top-left')
display(fig)
结果:

我找到了一种方法,通过改变变量ax_x的两个方面来实现

  • 通过添加
    tick_style={'font-size':7}
    来减小字体大小
  • 添加
    offset={'scale':x_sc,'value':10}
  • 新代码如下所示:

    x_data = df_ts.columns.values.tolist()
    y_end = df_ts.loc[end_date, :].values.flatten()
    y_start = df_ts.loc[start_date, :].values.flatten()
    
    x_sc = OrdinalScale()
    y_sc = LinearScale()
    ax_x = Axis(label='RIC', scale=x_sc, grid_lines='solid', tick_rotate=90, tick_style={'font-size': 7}, label_offset='40',
               offset={'scale':x_sc, 'value':10})
    ax_y = Axis(label='%', scale=y_sc, orientation='vertical',tick_format='0.2f', label_offset='-40')
    
    line = Lines(x=x_data, y=[y_end, y_start], scales={'x': x_sc, 'y': y_sc}, 
                 display_legend=True, labels=[end_date, start_date], stroke_width=1)
    bar = Bars(x=x_data, y=df_diff.tolist(), scales={'x': x_sc, 'y': y_sc}, padding=0.5)
    
    fig = Figure(marks=[line, bar], axes=[ax_x, ax_y], title='Swap rates and differences', legend_location='top-left')
    display(fig)
    
    它显示为: