我做了一个看起来像这样的情节
我想关闭沿 y 轴的刻度标签。要做到这一点,我正在使用
plt.tick_params(labelleft=False, left=False)
现在剧情是这样的。即使标签关闭了规模 1e67
仍然存在。关闭体重秤
1e67
会让剧情更好看。我怎么做?
最佳答案
seaborn
用于绘制绘图,但它只是 matplotlib
的高级 API .matplotlib
方法。 .set()
. .set(yticklabels=[])
应该删除刻度标签。.set_title()
,这将不起作用,但您可以使用 .set(title='')
.set(ylabel=None)
应该删除轴标签。 .tick_params(left=False)
将去除蜱虫。 示例 1
import seaborn as sns
import matplotlib.pyplot as plt
# load data
exercise = sns.load_dataset('exercise')
pen = sns.load_dataset('penguins')
# create figures
fig, ax = plt.subplots(2, 1, figsize=(8, 8))
# plot data
g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])
g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])
plt.show()
删除标签
fig, ax = plt.subplots(2, 1, figsize=(8, 8))
g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])
g1.set(yticklabels=[]) # remove the tick labels
g1.set(title='Exercise: Pulse by Time for Exercise Type') # add a title
g1.set(ylabel=None) # remove the axis label
g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])
g2.set(yticklabels=[])
g2.set(title='Penguins: Body Mass by Species for Gender')
g2.set(ylabel=None) # remove the y-axis label
g2.tick_params(left=False) # remove the ticks
plt.tight_layout()
plt.show()
示例 2
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# sinusoidal sample data
sample_length = range(1, 1+1) # number of columns of frequencies
rads = np.arange(0, 2*np.pi, 0.01)
data = np.array([(np.cos(t*rads)*10**67) + 3*10**67 for t in sample_length])
df = pd.DataFrame(data.T, index=pd.Series(rads.tolist(), name='radians'), columns=[f'freq: {i}x' for i in sample_length])
df.reset_index(inplace=True)
# plot
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot('radians', 'freq: 1x', data=df)
删除标签
# plot
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot('radians', 'freq: 1x', data=df)
ax.set(yticklabels=[]) # remove the tick labels
ax.tick_params(left=False) # remove the ticks
关于python - 如何从 matplotlib/seaborn 图中删除或隐藏 y 轴刻度标签,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/63756623/