问题描述

程序中断，报错如下AssertionError: 618 columns passed, passed data had 508 columns

Exception has occurred: ValueError
618 columns passed, passed data had 508 columns
AssertionError: 618 columns passed, passed data had 508 columnsThe above exception was the direct cause of the following exception:File "E:\matlab\CHB-MIT-DATA\epilepsy_eeg_classification\preprocessing.py", line 117, in eeg_preprocessingres = pd.DataFrame(res, columns=column_names)File "E:\matlab\CHB-MIT-DATA\epilepsy_eeg_classification\preprocessing.py", line 334, in <module>res = eeg_preprocessing(file, seizures)
ValueError: 618 columns passed, passed data had 508 columns

 terminal报错如下：

Backend Qt5Agg is interactive backend. Turning interactive mode on.

 

弯路

numpy1.19.4改为了numpy1.21.6

pip list： numpy1.21.6

conda list： numpy1.20.1

发现，报错仍旧一样，没有任何改变。

我的怀疑是数据里面有nan值，而程序中并没有处理的方法，是丢弃是补充为0还是补充为平均值。因为如果丢弃的话。

我发现numpy版本不对，卸载的时候，报错说：

PackageNotInstalledError: Package is not installed in prefix

于是我使用

conda udate numpy

报错如下：

(base) PS E:\matlab> conda update numpy
Collecting package metadata (repodata.json): done
Solving environment: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:- defaults/win-64::anaconda==custom=py37_1- https://repo.anaconda.com/pkgs/main/win-64::bkcharts==0.2=py37_0- https://repo.anaconda.com/pkgs/main/win-64::blaze==0.11.3=py37_0- https://repo.anaconda.com/pkgs/main/win-64::bokeh==0.13.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::dask==0.19.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::numpydoc==0.8.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::odo==0.5.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::seaborn==0.9.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::sphinx==1.7.9=py37_0- https://repo.anaconda.com/pkgs/main/win-64::spyder==3.3.1=py37_1- https://repo.anaconda.com/pkgs/main/win-64::statsmodels==0.9.0=py37h452e1ab_0- defaults/win-64::_anaconda_depends==5.3.1=py37_0
failedCondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again.

有人说可以直接退到base环境更新conda。

(base) PS E:\matlab> conda update --name base conda
Collecting package metadata (repodata.json): done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:- defaults/win-64::anaconda==custom=py37_1- https://repo.anaconda.com/pkgs/main/win-64::bkcharts==0.2=py37_0- https://repo.anaconda.com/pkgs/main/win-64::blaze==0.11.3=py37_0- https://repo.anaconda.com/pkgs/main/win-64::bokeh==0.13.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::dask==0.19.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::numpydoc==0.8.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::odo==0.5.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::seaborn==0.9.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::sphinx==1.7.9=py37_0- https://repo.anaconda.com/pkgs/main/win-64::spyder==3.3.1=py37_1- https://repo.anaconda.com/pkgs/main/win-64::statsmodels==0.9.0=py37h452e1ab_0- defaults/win-64::_anaconda_depends==5.3.1=py37_0
failedCondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again.

conda update conda，conda update numpy，conda update --name base conda，在cat（自建虚拟环境）和base里都报错：

CondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again.

还有的朋友建议：

conda update conda -c conda-canary

但是仍旧不行，报错如下，和前面的报错也一样。 

CondaMemoryError：conda 进程内存不足答案 - 爱码网

更新anaconda的版本也报同样的错：

(base) PS E:\matlab> conda update anaconda
Collecting package metadata (repodata.json): done
Solving environment: \
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:- defaults/win-64::anaconda==custom=py37_1- https://repo.anaconda.com/pkgs/main/win-64::bkcharts==0.2=py37_0- https://repo.anaconda.com/pkgs/main/win-64::blaze==0.11.3=py37_0- https://repo.anaconda.com/pkgs/main/win-64::bokeh==0.13.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::dask==0.19.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::numpydoc==0.8.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::odo==0.5.1=py37_0- https://repo.anaconda.com/pkgs/main/win-64::seaborn==0.9.0=py37_0- https://repo.anaconda.com/pkgs/main/win-64::sphinx==1.7.9=py37_0- https://repo.anaconda.com/pkgs/main/win-64::spyder==3.3.1=py37_1- https://repo.anaconda.com/pkgs/main/win-64::statsmodels==0.9.0=py37h452e1ab_0- defaults/win-64::_anaconda_depends==5.3.1=py37_0
failedCondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again.

找到好久找到了一个解决方案：

 https://github.com/conda/conda/issues/10751

解决方案

说到最后实在是稀松平常，我检查了一下程序逻辑。我发现在传递参数的过程中。

  File "E:\matlab\CHB-MIT-DATA\epilepsy_eeg_classification\preprocessing.py", line 117, in eeg_preprocessing
    res = pd.DataFrame(res, columns=column_names)
  File "E:\matlab\CHB-MIT-DATA\epilepsy_eeg_classification\preprocessing.py", line 334, in <module>

虽然报错在117处，但是，实际上在传递的这两个数据处，通过debug的方式，发现获取的数据的列数要大于实际列数。那是因为，信号的channel变化的，而不是23个固定不变的，所以，只需要把这个固定的23改为，len(channel)就能获取到具体的数字。

将

        for i in range(23):features.extend(eeg_features(temp[i]).tolist())

改为

        for i in range(len(channels)):features.extend(eeg_features(temp[i]).tolist())

即可。

需要特别说明的是，conda创建的虚拟环境不要胡乱删除，否则会报很多错，你可以根据报错内容删除一些相应的文件，但是不能删除过多的文件。否则会报无数的错误。

这会让你非常头疼。这三篇文章都是我删错文件报错的。

 你会发现你无意中删除了一些包的依赖，这就麻烦了。

另外，我的程序报错或许和你的虽然报错一样，但是具体错误的地方不一样，这个时候，你就要好好检查你生成的数据和列名是否符合情况。可以参考这篇文章来看看，或许能够解决你的错误：

已解决ValueError: 4 columns passed, passed data had 2 columns_无 羡ღ的博客-CSDN博客

参考文章

Packagenotinstallederror:未安装在前缀中 - IT宝库