如何创建自定义箭头形状的图例标识键。

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英文:

How can I create a custom arrow-shaped legend key

问题

我明白了您的请求,请看下面的翻译部分:

# 定义自定义图例处理程序
class ArrowHandler(HandlerBase):
    def create_artists(self, legend, orig_handle, xdescent, ydescent, width, height, fontsize, trans):
        arrow = FancyArrowPatch((0, 5), (40, 5), arrowstyle='->', color=orig_handle.get_edgecolor(), mutation_aspect=20)
        return [arrow]

# 创建 Matplotlib 中的河流剖面图
plt.figure(figsize=(11, 6))
plt.plot(creek_long_profile_dataframes['Foley Creek']['distance_upstream_km'],
         creek_long_profile_dataframes['Foley Creek']['elevation_m'],
         color='#368bb5', linewidth=2)

# 添加彩色箭头表示沉积物输送点
delivery_data = creek_sed_delivery_dataframes["Foley Creek"]
x_min_max = creek_long_profile_dataframes['Foley Creek']['distance_upstream_km'].agg(['min', 'max'])
x_range = x_min_max[1] - x_min_max[0]
y_min_max = creek_long_profile_dataframes['Foley Creek']['elevation_m'].agg(['min', 'max'])
y_range = y_min_max[1] - y_min_max[0]

for index, row in delivery_data.iterrows():
    x = row['distance_upstream_km']
    y = row['elevation_m']
    color = '#1b9e77' if row['mass_movement_type'] == 'Debris Flow' else '#7570b3'
    plt.arrow(x, y+(0.098*y_range), 0, -(0.088*y_range), width=0.006*x_range, head_width=0.015*x_range,
              head_length=0.029*y_range, color=color, length_includes_head=True)

# 设置坐标轴标签
plt.xlabel('Distance upstream (km)')
plt.ylabel('Elevation (m)')

# 设置标题
plt.title('Sediment Delivery Along Foley Creek')

# 添加网格
plt.grid(which='major', axis='both')

# 定义图例元素
legend_elements = [
    FancyArrowPatch((0, 0), (0, 0), arrowstyle='->', color='#1b9e77', label='Debris Flow'),
    FancyArrowPatch((0, 0), (0, 0), arrowstyle='->', color='#7570b3', label='Debris Avalanche')
]

# 创建带有自定义处理程序的图例
plt.legend(handles=legend_elements, handler_map={FancyArrowPatch: ArrowHandler()})

# 显示图形
plt.show()

这是您代码的翻译部分,已经保留了原始的代码结构和注释。如果您需要进一步的帮助,请随时提问。

英文:

I'm creating a plot using Matplotlib. I want the legend keys (the shapes next to the descriptive text in the legend) to be arrows similar to the ones present in the figure. I've been able to get an output that is close to what I want as you can see in the picture below. There are arrows in the legend but they are incredibly long and narrow.

The current iteration of my plot. The legend key arrows are present but tiny.

The code I used to create the plot is here:

# Define custom legend handler
class ArrowHandler(HandlerBase):
def create_artists(self, legend, orig_handle, xdescent, ydescent, width, height, fontsize, trans):
arrow = FancyArrowPatch((0, 5), (40, 5), arrowstyle='->', color=orig_handle.get_edgecolor(), mutation_aspect=20)
return [arrow]
# Plot the river profile using Matplotlib
plt.figure(figsize=(11, 6))
plt.plot(creek_long_profile_dataframes['Foley Creek']['distance_upstream_km'],
creek_long_profile_dataframes['Foley Creek']['elevation_m'],
color='#368bb5', linewidth=2)
### Add sediment delivery points as colored arrows
delivery_data = creek_sed_delivery_dataframes["Foley Creek"]
# Get range of x and y values to be able to standardize the size of the arrows
x_min_max = creek_long_profile_dataframes['Foley Creek']['distance_upstream_km'].agg(['min', 'max'])
x_range = x_min_max[1] - x_min_max[0]
y_min_max = creek_long_profile_dataframes['Foley Creek']['elevation_m'].agg(['min', 'max'])
y_range = y_min_max[1] - y_min_max[0]
# Add arrows to the figure
for index, row in delivery_data.iterrows():
x = row['distance_upstream_km']
y = row['elevation_m']
color = '#1b9e77' if row['mass_movement_type'] == 'Debris Flow' else '#7570b3'
plt.arrow(x, y+(0.098*y_range), 0, -(0.088*y_range), width=0.006*x_range, head_width=0.015*x_range,
head_length=0.029*y_range, color=color, length_includes_head=True)
### done adding sediment delivery arrows
# Set axis labels
plt.xlabel('Distance upstream (km)')
plt.ylabel('Elevation (m)')
# Set title
plt.title('Sediment Delivery Along Foley Creek')
# Add grid
plt.grid(which='major', axis='both')
# Define the legend elements
legend_elements = [
FancyArrowPatch((0, 0), (0, 0), arrowstyle='->', color='#1b9e77', label='Debris Flow'),
FancyArrowPatch((0, 0), (0, 0), arrowstyle='->', color='#7570b3', label='Debris Avalanche')
]
# Create the legend with custom handler
plt.legend(handles=legend_elements, handler_map={FancyArrowPatch: ArrowHandler()})
# Save figure
# plt.savefig('sed_delivery_figs/sed_delivery_foley.pdf', dpi=300, bbox_inches='tight')
# Show the plot
plt.show()

I first tried passing a list of Arrow instances similar to the code below.

# Define the legend elements
legend_elements = [
FancyArrowPatch((0, 0), (0.5, 0), arrowstyle='->', color='#1b9e77', label='Debris Flow'),
FancyArrowPatch((0, 0), (0.5, 0), arrowstyle='->', color='#7570b3', label='Debris Avalanche')
]
# Add the legend
plt(handles=legend_elements, loc='center')

This resulted in legend keys which were rectangles (not the arrows I'm hoping for) but which were the correct color.

I hobbled together some code to create a custom legend handler but I unfortunately have very little understanding of how they work and how I should be defining it. Any help would be appreciated.

I've taken a look at some related posts (here and here) but I haven't been able to implement their suggestions in my use case because I'm having trouble wrapping my head around some aspects of Matplotlib.

Does anyone know how I can put arrows in the legend like the ones that I plotted in the figure itself? Is there a simpler approach?

答案1

得分: 0

Sure, here's the translated content:

"你做得很好,清晰地提出了你的问题,并附上了相关的支持细节。

我不能说我完全理解所有的工作原理。但我可以说,使用FancyArrow(来自matplotlib.patches)而不是FancyArrowPatch 对我有用。你可以试试这样做:

import matplotlib.patches as mpatches
for creek in creek_long_profile_dataframes:
    print(creek)
    # 定义自定义图例处理程序
    class ArrowHandler(HandlerBase):
        def create_artists(self, legend, orig_handle, xdescent, ydescent, width, height, fontsize, trans):
            arrow = mpatches.FancyArrow(0, 3, 25, 0, color=orig_handle.get_edgecolor(), width=2.5, length_includes_head=False)
            return [arrow]

希望你能在图例中得到漂亮的箭头,箭头形状的头部清晰可辨。我从 https://matplotlib.org/stable/gallery/shapes_and_collections/arrow_guide.html 得到了这个想法。

如何创建自定义箭头形状的图例标识键。

英文:

Good job laying out your question clearly, with relevant supporting details.

I cannot say I understand how this all works. But I can say that using FancyArrow (from matplotlib.patches) instead of FancyArrowPatch worked for me. Can you try something like this?

import matplotlib.patches as mpatches
for creek in creek_long_profile_dataframes:
print(creek)
# Define custom legend handler
class ArrowHandler(HandlerBase):
def create_artists(self, legend, orig_handle, xdescent, ydescent, width, height, fontsize, trans):
arrow = mpatches.FancyArrow(0, 3, 25, 0, color=orig_handle.get_edgecolor(), width=2.5, length_includes_head=False)
return [arrow]

Hopefully you'll get nice arrows with clearly discernible arrow-shaped heads in your legend. (I got that idea from https://matplotlib.org/stable/gallery/shapes_and_collections/arrow_guide.html)

如何创建自定义箭头形状的图例标识键。

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  • 本文由 发表于 2023年5月18日 09:16:59
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