我想将阈值线(水平红色虚线)设置为具有不同值的多个子图
图1的阈值应为5000,图2的阈值应为4000,图3的阈值应为3000,图4的阈值应为4000
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import matplotlib.dates as md
读取csv文件以绘制图形
datargraph1 = pd.read_csv('REPORT1.csv')
datargraph2 = pd.read_csv('REPORT2.csv')
datagraph3 = pd.read_csv('REPORT3.csv')
datagraph4 = pd.read_csv('REPORT4.csv')
在这里,我试图隐藏时间序列中的列
datargraph1['Timestamp'] = pd.to_datetime(datargraph1['Timestamp'], format='%H%M%S')
datargraph2['Timestamp'] = pd.to_datetime(datargraph2['Timestamp'], format='%H%M%S')
datagraph3['Timestamp'] = pd.to_datetime(datagraph3['Timestamp'], format='%H%M%S')
datagraph4['Timestamp'] = pd.to_datetime(datagraph4['Timestamp'], format='%H%M%S')
将ylimits设置为不同的轴
style.use('ggplot')
fig, axes = plt.subplots(ncols=4)
axes[0].title.set_text('Graph 1')
axes[0].set_ylim([0,8000])
axes[0].axhline( y=5000, xmin=0, xmax=1)
axes[1].title.set_text('Graph 2')
axes[1].set_ylim([0,6000])
axes[2].title.set_text('Graph 3')
axes[2].set_ylim([0,6000])
axes[3].title.set_text('Graph 4')
axes[3].set_ylim([0,6000])
定义24小时时钟的x轴
axes[0].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[0].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[1].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[1].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[2].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[2].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[3].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[3].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[0].plot(datargraph1['Timestamp'], datargraph1['CurrentCPS'], color='b')
axes[1].plot(datargraph2['Timestamp'], datargraph2['CurrentCPS'], color='r')
axes[2].plot(datagraph3['Timestamp'], datagraph3['CurrentCPS'], color='g')
axes[3].plot(datagraph4['Timestamp'], datagraph4['CurrentCPS'], color='y')
plt.show()
但我犯了一个错误
定位器试图从691587.6916666667到735781.81666667生成1060660个刻度:超出定位器.MAXTICKS
您可以对每个} :
ax
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