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，以实现分段线性表示。问题是，fit包的init文件中似乎出现了错误。下面是代码：

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()

这个错误似乎是一个无效的语法，Python发生在行"raise exc_type，exc_val，exc_tb“中。

下面是init文件中创建bug的部分：

    # 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

有人能帮忙吗？

Answer 1

问题是，您安装的来自PyPI的包裹 (GitHub)与Python3不兼容(实际上，上一次更新是在8年前)。(其他人在Python 3上也有同样的问题。)

然而，， --这不是您想要的包--它甚至不导出像sumsquared_error这样的东西。

这些导出可以在fit.py中找到，该存储库可能是您调整代码的地方。

换言之：

• pip uninstall fit -你要找的不是机器人
• 将fit.py和wrappers.py从该存储库复制到项目的目录