更改小平面网格上的 x 轴或设置fill_between限制

Question

我已经复制了RidgePlot示例，并根据需要采用了它。我已经包含了工作脚本和一些示例数据进行测试。图像：我的一些数据的 y 值等于 0.0。我想在我的情节中强调这一点。我不确定绘图的哪个部分，或者只是每个x轴都可以更改，例如删除那些地方的映射颜色。fill_between"aandeel" == 0.0关于如何在这里删除颜色的任何想法？是否可以简单地删除x轴/将宽度设置为0/将颜色更改为不同？示例数据 （csv）：https://gist.github.com/willemvanopstal/c2892e68d6eb94194acd371e49d949bdimport pandas as pdfrom matplotlib import pyplot as pltimport seaborn as snsimport numpy as npsns.set(style="whitegrid", rc={"axes.facecolor": (0, 0, 0, 0)})data = pd.read_csv('stats_together_data.csv', delimiter=';')df = data# Initialize the FacetGrid objectpal = sns.color_palette("Set2")g = sns.FacetGrid(df, row="process", hue="process", aspect=10, height=0.6, palette=pal)# Draw the densities in a few stepsg.map(sns.lineplot, "region", "aandeel", clip_on=False, alpha=1, lw=1.5)g.map(plt.fill_between, "region", "aandeel", interpolate=True)g.map(sns.lineplot, "region", "aandeel", clip_on=False, color="w", lw=2)g.map(plt.axhline, y=0, lw=1, clip_on=False)# 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, "region")# Set the subplots to overlapg.fig.subplots_adjust(hspace=-.25)# Remove axes details that don't play well with overlapg.set_titles("")g.set(yticks=[])g.set(xticks=df.region[0::1])g.despine(bottom=True, left=True)plt.show()

Answer 1

首先，我将 0.0 值替换为 NaN。但这还不够，因为问题的很大一部分是添加的水平线，以替换底部书脊，这掩盖了曲线在不同点停止的事实。如果删除这些内容，则只剩下：

就个人而言，我并没有过分发现刻度白线，这使得左右的狭窄区域非常薄。我倾向于删除它们：

完整代码：

import pandas as pd

from matplotlib import pyplot as plt

import seaborn as sns

import numpy as np

sns.set(style="whitegrid", rc={"axes.facecolor": (0, 0, 0, 0)})

df = pd.read_csv('https://gist.githubusercontent.com/willemvanopstal/c2892e68d6eb94194acd371e49d949bd/raw/642c4261198f0cacdf32aad21aebca5953c6cd75/stats_together_data.csv', delimiter=';')

df.loc[df["aandeel"]==0,"aandeel"]=np.nan

# Initialize the FacetGrid object

pal = sns.color_palette("Set2")

g = sns.FacetGrid(df, row="process", hue="process", aspect=10, height=0.6, palette=pal)

# Draw the densities in a few steps

g.map(sns.lineplot, "region", "aandeel", clip_on=False, alpha=1, lw=1.5)

g.map(plt.fill_between, "region", "aandeel", interpolate=True)

#g.map(sns.lineplot, "region", "aandeel", clip_on=False, color="w", lw=2)

# Define and use a simple function to label the plot in axes coordinates

def 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, "region")

# Set the subplots to overlap

g.fig.subplots_adjust(hspace=-.25)

# Remove axes details that don't play well with overlap

g.set_titles("")

g.set(yticks=[])

g.set(xticks=df.region[0::1])

g.despine(bottom=True, left=True)

plt.show()