熊猫-使用不同的zorder绘制线条和标记？

Question

I am trying to plot scattered lines and markers from a pandas dataframe, however in certain situations the lines end up being drawn on top of the markers. Is there any way to set the zorder of the lines and markers separately to ensure the marker is always drawn on top of any line, regardless of series? eg something like marker_zorder=2, line_zorder=1

For example, the following code:

import pandas as pd
import matplotlib.pyplot as plt


df = pd.DataFrame({'x': [1, 5, 10],
                   'y1': [24, 7, 14],
                   'y2': [14, 6, 35]})

fig, ax = plt.subplots(figsize=(3, 5))
df.plot.line(x='x', ls='--', marker='.', ms=15, ax=ax)
ax.set_ylim(bottom=0)
plt.savefig('test.png', bbox_inches='tight')

Produces this graph:

Where we can see the orange line is drawn over the blue marker.

Answer 1

No, there is no such thing as marker_zorder . But you may plot your data twice, once as a line and once with markers on top.

import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame({'x': [1, 5, 10],
                   'y1': [24, 7, 14],
                   'y2': [14, 6, 35]})

fig, ax = plt.subplots(figsize=(3, 5))
df.plot.line(x='x', ls='--', ax=ax)

# Reset prop cycle to obtain the same colors for the next plot
ax._get_lines.set_prop_cycle(plt.rcParams["axes.prop_cycle"])
df.plot.line(x='x', ls='', marker='.', ms=15, ax=ax, legend=False)
ax.set_ylim(bottom=0)

plt.show()