我想根據(jù) seaborn 'ridge plot' 示例（https://seaborn.pydata.org/examples/kde_ridgeplot.html）執(zhí)行以下操作：我想將單位添加到 x 軸的 x 標(biāo)簽中，使其在圖中顯示為[m]中的x。我怎么做？將命令擴(kuò)展g.map(label, "x")為g.map(label, "x in [m]")導(dǎo)致以下錯(cuò)誤：KeyError: "['x [m]'] not in index"我的代碼如下：import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltsns.set(style="white", rc={"axes.facecolor": (0, 0, 0, 0)})errorNames = ['Error 1 - abc.....',              'Error 2 - abc.....',              'Error 3 - abc.....',              'Error 4 - abc.....',              'Error 5 - abc.....',              'Error 6 - abc.....',              'Error 7 - abc.....',              'Error 8 - abc.....',              'Error 9 - abc.....',              'Error 10 - abc.....',              'Error 11 - abc.....',              'Error 12 - abc.....',              'Error 13 - abc.....']# Create the datars = np.random.RandomState(1979)x = rs.randn(650)#g = np.tile(list("ABCDEFGHIJKLM"), 50)g = np.tile(list(errorNames), 50)df = pd.DataFrame(dict(x=x, g=g))#m = df.g.map(ord)#df["x"] += m# Initialize the FacetGrid objectpal = sns.cubehelix_palette(10, rot=-.25, light=.7)g = sns.FacetGrid(df, row="g", hue="g", aspect=15, height=.5, palette=pal)# Draw the densities in a few stepsg.map(sns.kdeplot, "x", clip_on=False, shade=True, alpha=1, lw=1.5, bw=.2)g.map(sns.kdeplot, "x", clip_on=False, color="w", lw=2, bw=.2)g.map(plt.axhline, y=0, lw=2, clip_on=False)#sns.plt.xlim(-10, 3)# Define and use a simple function to label the plot in axes coordinatesdef label(x, color, label):    ax = plt.gca()    ax.text(0, .2, label, fontweight="bold", color=color,            ha="left", va="center", transform=ax.transAxes)g.map(label, "x")#g.map(label, "x [m]")# Set the subplots to overlap # Erst hier wird geplottedg.fig.subplots_adjust(hspace=-.25)# Remove axes details that don't play well with overlapg.set_titles("")g.set(yticks=[])g.despine(bottom=True, left=True)