fit 包中的 __init__ 文件出错

Question

我正在尝试运行我在 GitHub 上找到的代码来实现分段线性表示。 问题是fit包的init文件似乎有错误。 这是代码：

from matplotlib.pylab import gca, figure, plot, subplot, title, xlabel, ylabel, xlim,show
from matplotlib.lines import Line2D
import segment
import fit

Pull = pandas.read_csv('pull_kpi.csv', parse_dates=['pull_date'])
data = Pull[['pull_date', 'qty_late']]

from matplotlib.pylab import gca, figure, plot, subplot, title, xlabel, ylabel, xlim,show
from matplotlib.lines import Line2D
import segment
import fit

def draw_plot(data,plot_title):
    plot(range(len(data)),data,alpha=0.8,color='red')
    title(plot_title)
    xlabel("Samples")
    ylabel("Signal")
    xlim((0,len(data)-1))

def draw_segments(segments):
    ax = gca()
    for segment in segments:
        line = Line2D((segment[0],segment[2]),(segment[1],segment[3]))
        ax.add_line(line)

with open("example_data/16265-normalecg.txt") as f:
    file_lines = f.readlines()

data = [float(x.split("\t")[2].strip()) for x in file_lines[100:320]]

max_error = 0.005

#sliding window with regression
figure()
segments = segment.slidingwindowsegment(data, fit.regression, fit.sumsquared_error, max_error)
draw_plot(data,"Sliding window with regression")
draw_segments(segments)

#bottom-up with regression
figure()
segments = segment.bottomupsegment(data, fit.regression, fit.sumsquared_error, max_error)
draw_plot(data,"Bottom-up with regression")
draw_segments(segments)

#top-down with regression
figure()
segments = segment.topdownsegment(data, fit.regression, fit.sumsquared_error, max_error)
draw_plot(data,"Top-down with regression")
draw_segments(segments)



#sliding window with simple interpolation
figure()
segments = segment.slidingwindowsegment(data, fit.interpolate, fit.sumsquared_error, max_error)
draw_plot(data,"Sliding window with simple interpolation")
draw_segments(segments)

#bottom-up with  simple interpolation
figure()
segments = segment.bottomupsegment(data, fit.interpolate, fit.sumsquared_error, max_error)
draw_plot(data,"Bottom-up with simple interpolation")
draw_segments(segments)

#top-down with  simple interpolation
figure()
segments = segment.topdownsegment(data, fit.interpolate, fit.sumsquared_error, max_error)
draw_plot(data,"Top-down with simple interpolation")
draw_segments(segments)


show()

该错误似乎是无效的语法，Python 说它发生在“raise exc_type, exc_val, exc_tb”这一行。

这是创建错误的初始化文件的一部分：

    # File I/O methods

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        if not exc_val:
            return self.close()

        raise exc_type, exc_val, exc_tb

有人可以帮忙吗？

Answer 1

问题是您安装的来自fit ( GitHub ) 的 fit 包与 Python 3 不兼容（事实上，最近一次更新是在 8 年前，无论如何）。 （其他人对 Python 3 也有同样的问题。 ）

然而，这不是你想要的包——它甚至不导出sumsquared_error类的东西。

这些导出可以在fit.py中找到，该存储库可能是您改编代码的地方。

换句话说：

• pip uninstall fit – 这不是您要找的机器人
• 将fit.py和wrappers.py从该存储库复制到您的项目目录