无法将 csv 文件导入协作?
Can't import csv file on to collab?
我是 python 的新手,一直在尝试将 csv 文件放到 google 协作笔记本上。我不确定我做错了什么。已经尝试使用“/”,但它们也不起作用。
import pandas as pd
testData = pd.read_csv(r'C:\Users\User\Documents\ml\training.csv')
我收到多个错误:
FileNotFoundError Traceback (most recent call last)
<ipython-input-37-d77976d861ee> in <module>()
1 import pandas as pd
----> 2 testData = pd.read_csv(r'C:\Users\User\Documents\ml\training.csv')
3
4
4 frames
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
674 )
675
--> 676 return _read(filepath_or_buffer, kwds)
677
678 parser_f.__name__ = name
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
446
447 # Create the parser.
--> 448 parser = TextFileReader(fp_or_buf, **kwds)
449
450 if chunksize or iterator:
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
878 self.options["has_index_names"] = kwds["has_index_names"]
879
--> 880 self._make_engine(self.engine)
881
882 def close(self):
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _make_engine(self, engine)
1112 def _make_engine(self, engine="c"):
1113 if engine == "c":
-> 1114 self._engine = CParserWrapper(self.f, **self.options)
1115 else:
1116 if engine == "python":
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
1889 kwds["usecols"] = self.usecols
1890
-> 1891 self._reader = parsers.TextReader(src, **kwds)
1892 self.unnamed_cols = self._reader.unnamed_cols
1893
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] File C:\Users\User\Documents\ml\training.csv does not exist: 'C:\Users\User\Documents\ml\training.csv'
Colab 无法从您的本地设备读取文件,它 运行 在云服务器上,无法访问您的本地文件系统。您需要上传文件。有多种方法可以实现此目的,请查找最适合您需求的方法。
提示您上传文件的示例,然后您可以将其读入您的笔记本。
import io
from google.colab import files
uploaded = files.upload()
df = pd.read_csv(io.BytesIO(uploaded['filename.csv']))
我是 python 的新手,一直在尝试将 csv 文件放到 google 协作笔记本上。我不确定我做错了什么。已经尝试使用“/”,但它们也不起作用。
import pandas as pd
testData = pd.read_csv(r'C:\Users\User\Documents\ml\training.csv')
我收到多个错误:
FileNotFoundError Traceback (most recent call last)
<ipython-input-37-d77976d861ee> in <module>()
1 import pandas as pd
----> 2 testData = pd.read_csv(r'C:\Users\User\Documents\ml\training.csv')
3
4
4 frames
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
674 )
675
--> 676 return _read(filepath_or_buffer, kwds)
677
678 parser_f.__name__ = name
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
446
447 # Create the parser.
--> 448 parser = TextFileReader(fp_or_buf, **kwds)
449
450 if chunksize or iterator:
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
878 self.options["has_index_names"] = kwds["has_index_names"]
879
--> 880 self._make_engine(self.engine)
881
882 def close(self):
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _make_engine(self, engine)
1112 def _make_engine(self, engine="c"):
1113 if engine == "c":
-> 1114 self._engine = CParserWrapper(self.f, **self.options)
1115 else:
1116 if engine == "python":
/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
1889 kwds["usecols"] = self.usecols
1890
-> 1891 self._reader = parsers.TextReader(src, **kwds)
1892 self.unnamed_cols = self._reader.unnamed_cols
1893
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] File C:\Users\User\Documents\ml\training.csv does not exist: 'C:\Users\User\Documents\ml\training.csv'
Colab 无法从您的本地设备读取文件,它 运行 在云服务器上,无法访问您的本地文件系统。您需要上传文件。有多种方法可以实现此目的,请查找最适合您需求的方法。
提示您上传文件的示例,然后您可以将其读入您的笔记本。
import io
from google.colab import files
uploaded = files.upload()
df = pd.read_csv(io.BytesIO(uploaded['filename.csv']))