html上传csv,后端flask报错:File "pandas\_libs\parsers.pyx", line 521, in pandas._libs.parsers.TextReader.__cinit__ pandas.errors.EmptyDataError: No columns to parse from file
时间: 2024-02-12 15:07:14 浏览: 63
这个错误通常表示你的CSV文件为空,或者里面没有任何列。你可以检查一下你的CSV文件,确保它包含至少一行,且每列都有标题。
另外,你可以尝试在读取CSV文件的时候指定一些参数,例如使用`header=None`来强制不读取第一行作为列名,或者使用`skip_blank_lines=True`来跳过空行。你可以参考下面的代码:
```
import pandas as pd
df = pd.read_csv('your_csv_file_path', header=None, skip_blank_lines=True)
# 检查读取后的数据
print(df.head())
```
相关问题
"C:/Users/DELL/Desktop/python_flask-dc/python_flask/bpnn_tf.py", line 47, in <module> dataset = pd.read_csv('2019.csv', delimiter=",") File "E:\python-3.7.0\lib\site-packages\pandas\io\parsers.py", line 688, in read_csv return _read(filepath_or_buffer, kwds) File "E:\python-3.7.0\lib\site-packages\pandas\io\parsers.py", line 460, in _read data = parser.read(nrows) File "E:\python-3.7.0\lib\site-packages\pandas\io\parsers.py", line 1198, in read ret = self._engine.read(nrows) File "E:\python-3.7.0\lib\site-packages\pandas\io\parsers.py", line 2157, in read data = self._reader.read(nrows) File "pandas\_libs\parsers.pyx", line 847, in pandas._libs.parsers.TextReader.read File "pandas\_libs\parsers.pyx", line 862, in pandas._libs.parsers.TextReader._read_low_memory File "pandas\_libs\parsers.pyx", line 918, in pandas._libs.parsers.TextReader._read_rows File "pandas\_libs\parsers.pyx", line 905, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas\_libs\parsers.pyx", line 2042, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 9, saw 3
这个报错与第一个问题很相似,也是在读取 '2019.csv' 文件时出现了解析错误。具体是在第9行有3个字段,而程序期望只有1个字段。同样的,你可以检查文件的格式是否正确,尝试重新整理或清洗文件中的数据,以确保数据格式的一致性。此外,你可以尝试指定文件的编码方式,例如使用 `encoding='utf-8'` 参数来读取文件。
return self._engine.get_loc(casted_key) File "pandas\_libs\index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\hashtable_class_helper.pxi", line 1675, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas\_libs\hashtable_class_helper.pxi", line 1683, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'pre' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:/Users/DELL/Desktop/python_flask-dc/python_flask/bpnn_tf.py", line 108, in <module> cf['pre'] = cf['pre'].astype(str) File "E:\python-3.7.0\lib\site-packages\pandas\core\frame.py", line 2906, in __getitem__ indexer = self.columns.get_loc(key) File "E:\python-3.7.0\lib\site-packages\pandas\core\indexes\base.py", line 2900, in get_loc raise KeyError(key) from err KeyError: 'pre'
这个错误的意思是在Pandas DataFrame中找不到名为"pre"的列。请检查输入的DataFrame是否包含名为"pre"的列。您可以使用 `print(df.columns)` 打印DataFrame的所有列名以检查是否存在名为"pre"的列。另外,请确保输入的列名正确无误,并且没有引入任何拼写错误。