OSError: [WinError 193] %1 is not a valid Win32 application running python code

Question

我正在尝试使用 Python 3.8.6 运行 python 代码，但出现以下错误：

OSError: [WinError 193] %1 is not a valid Win32 application

我无法解决这个错误。

我的代码如下：

import os
print(os.getcwd())

import pandas as pd
import numpy as np

dfTextonly = pd.DataFrame(pd.read_csv('internal_all_txt.csv', low_memory=False, header=1))
dfTextonly = dfTextonly[['Address','Status Code', 'Word Count' ,'Outlinks', 'Unique Outlinks', 'Inlinks', 'Unique Inlinks',"Canonical Link Element 1"]].copy()
dfJS = pd.DataFrame(pd.read_csv('internal_all_js.csv', low_memory=False, header=1))
dfJS = dfJS[['Address','Status Code', 'Word Count', 'Outlinks', 'Unique Outlinks', 'Inlinks', 'Unique Inlinks',"Canonical Link Element 1"]].copy()
df = pd.merge(dfTextonly, dfJS, left_on='Address', right_on='Address', how='outer')

df['Diff Wordcount'] = df['Word Count_y'] - df['Word Count_x']
df['Diff Outlinks'] = df['Outlinks_y'] - df['Outlinks_x']
df['Diff Unique Outlinks'] = df['Unique Outlinks_y'] - df['Unique Outlinks_x']
df['Diff Inlinks'] = df['Unique Inlinks_y'] - df['Unique Inlinks_x']
df["Canonicals are equal"] = np.where((df["Canonical Link Element 1_y"] == df["Canonical Link Element 1_x"]), "yes", "no")

df.to_excel("rendering-test.xlsx")

关于为什么会这样有什么想法吗？谢谢！

Answer 1

所以我不能添加评论，

尝试卸载 numpy。有时会有多个版本。

参考：-

OSError: [WinError 193] %1 is not a valid Win32 application running python code

OSError: [WinError 193] %1 is not a valid Win32 application running python code

python

python-3.8