如何更改 seaborn 线图中的 xaxis 标签

Question

Below is the image of line plot i have plot. Is there a way to show on x axis year from 2008 to the 2020. currently it is skipping odd ones.

Answer 1

The solution depends on the type of your xaxis array.
If your xaxis is a datetime , you can set the xaxis ticks with

plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
plt.gca().xaxis.set_major_locator(mdates.YearLocator(base = 1))

as the code in this example:

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas as pd
import numpy as np

requestYear = pd.date_range(start = '2008-01-01', end = '2021-01-01', freq = 'Y')
value = np.random.rand(len(requestYear))

plt.plot(requestYear, value)

plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
plt.gca().xaxis.set_major_locator(mdates.YearLocator(base = 1, month = 12, day = 31))
plt.gca().set_xlim(requestYear[0], requestYear[-1])

plt.show()

which provides this plot:

On the contrary, if your xaxis array is a int type, you can use

plt.gca().set_xticks(np.arange(requestYear[0], requestYear[-1] + 1, 1))

as in this example:

import matplotlib.pyplot as plt
import numpy as np

requestYear = np.arange(2008, 2021)
value = np.random.rand(len(requestYear))

plt.plot(requestYear, value)

plt.gca().set_xticks(np.arange(requestYear[0], requestYear[-1] + 1, 1))
plt.gca().set_xlim(requestYear[0], requestYear[-1])

plt.show()

which gives this plot: