pyplot sets X-axis Y-axis data interval

data:

Link: https://pan.baidu.com/s/1DyZDTONk-vH6_5AIvrmoxg 
Extraction code: 1234 
--Share from Baidu Netdisk super member V5

import pandas as pd
import re
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
'''
下面为数据提取,直接忽视就行
'''
data = pd.DataFrame()
df1 = pd.read_csv(r'C:\Users\msi\Desktop\20220222_060.csv',index_col=False)
data['location'] = df1.iloc[:,0].apply(lambda x:re.findall('^;(.*?);',x)[0].strip())
data['date-time'] = df1.iloc[:,0].apply(lambda x:re.findall('\d{2}-\d{2}-\d{4}',x)[0]+' '+re.findall('\d{2}:\d{2}:\d{2}',x)[0])
data['depth'] = df1.iloc[:,0].apply(lambda x:re.findall('\d{4}',x)[1])
data['depth'] = data['depth'].apply(lambda x:x[0]+'.'+x[1:])
data.to_excel(r'C:\Users\msi\Desktop\123.xlsx',engine='openpyxl')

'''
绘图
'''
fig,ax = plt.subplots(2,2,figsize = (8,8))
ax[0][0].plot(data.iloc[:432,1],data.iloc[:432,2])
ax[0][0].set_title("Borgharen Dorp")
ticker_spacing = 150
#下面为设置数据标签
ax[0][0].xaxis.set_major_locator(ticker.MultipleLocator(ticker_spacing))
ax[0][0].yaxis.set_major_locator(ticker.MultipleLocator(10))

ax[0][1].plot(data.iloc[432:864,1],data.iloc[432:864,2])
ax[0][1].set_title("Lanaken")
ticker_spacing = 150
ax[0][1].xaxis.set_major_locator(ticker.MultipleLocator(ticker_spacing))
ax[0][1].yaxis.set_major_locator(ticker.MultipleLocator(10))

ax[1][0].plot(data.iloc[864:,1],data.iloc[864:,2])
ax[1][0].set_title("Uikhoven")
ticker_spacing = 150
ax[1][0].xaxis.set_major_locator(ticker.MultipleLocator(ticker_spacing))
ax[1][0].yaxis.set_major_locator(ticker.MultipleLocator(5))
plt.tight_layout()
plt.show()

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Origin blog.csdn.net/Father_of_Python/article/details/123080752