TA貢獻(xiàn)1845條經(jīng)驗(yàn) 獲得超8個(gè)贊
seaborn用于繪制繪圖，但它只是matplotlib.
為刪除 y 軸標(biāo)簽和刻度而調(diào)用的函數(shù)是matplotlib方法。
創(chuàng)建繪圖后，使用.set().
.set(yticklabels=[])應(yīng)該刪除刻度標(biāo)簽。
如果您使用，這不起作用.set_title()，但您可以使用.set(title='')
.set(ylabel=None)應(yīng)刪除軸標(biāo)簽。
.tick_params(left=False)將去除蜱蟲(chóng)。
同樣，對(duì)于 x 軸：如何從 seaborn / matplotlib 圖中刪除或隱藏 x 軸標(biāo)簽？
測(cè)試于python 3.11,?pandas 1.5.2,?matplotlib 3.6.2,seaborn 0.12.1
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()
刪除標(biāo)簽
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()
實(shí)施例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)
# or skip the previous two lines and plot df directly
# ax = df.plot(x='radians', y='freq: 1x', figsize=(8, 8), legend=False)
刪除標(biāo)簽
# plot
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot('radians', 'freq: 1x', data=df)
# or skip the previous two lines and plot df directly
# ax = df.plot(x='radians', y='freq: 1x', figsize=(8, 8), legend=False)
ax.set(yticklabels=[])? # remove the tick labels
ax.tick_params(left=False)? # remove the ticks
舉報(bào)