使用 pandas 自相关图-如何限制x轴使其更具可读性? [英] Using Pandas Autocorrelation Plot - how to limit x-axis to make it more readable?

问题描述

我正在使用python 3.7.

I am using python 3.7.

我正在使用ARIMA模型进行时间序列预测.我正在使用自相关图评估ARIMA数据的属性，特别是使用pandas.plotting中的autocorrelation_plot.

I am performing time series forecasting using an ARIMA model. I am assessing the properties of my data for ARIMA using an Autocorrelation Plot - specifically using autocorrelation_plot from pandas.plotting.

我的数据有50,000条左右的记录，这使该图变得非常繁忙，很难找出任何特定趋势.有没有一种方法可以限制x轴以使前几百个滞后更加集中?

My data has 50,000 records or so, making the plot extremely busy and hard to pick out any specific trends. Is there a way to limit the x-axis to bring the first few hundred lags more into focus?

我不能分享实际的情节，但是我的代码如下:

I can't share the actual plot, but my code is as follow:

import pandas as pd
from pandas.plotting import autocorrelation_plot

#Import Data
time_series_2619 = pd.read_csv("Consumption/2619.csv", parse_dates=['Date/Time'], index_col = ['Date/Time'])['Recording']

#Auto Correlation Plot
autocorrelation_plot(time_series_2619)

我在文档中找不到任何内容.

I couldn't find anything in the documentation.

推荐答案

autocorrelation_plot返回matplotlib.axis对象.因此，您可以简单地使用set_xlim()方法来限制x轴:

autocorrelation_plot returns a matplotlib.axis object. Hence, you can simply use the set_xlim() method to limit the x-axis:

ax = autocorrelation_plot(time_series_2619)
ax.set_xlim([0, 500])

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