英文:
ParserError: Error tokenizing data. C error: Expected 1 fields in line 27, saw 367
问题
plz...我累了，帮我搞清楚
这是我的代码
import pandas as pd
url="https://github.com/selva86/datasets/blob/master/Ionosphere.csv"
df=pd.read_csv(url)
df.head()
ParserError: 数据标记错误。C错误：在第27行期望1个字段，看到367。
英文:
plz...I'm tired, help me to figure out
This is my code
import pandas as pd
url="https://github.com/selva86/datasets/blob/master/Ionosphere.csv"
df=pd.read_csv(url)
df.head()
ParserError: Error tokenizing data. C error: Expected 1 fields in line 27, saw 367
答案1
得分: 1
你需要转换你的URL，以包含raw.githubusercontent.com域。raw.githubusercontent.com域用于提供存储在GitHub存储库中的文件的未经处理版本。如果你在GitHub上浏览文件，然后点击Raw链接，你将进入那里。这是你的代码中会是什么样子：
import pandas as pd
url="https://raw.githubusercontent.com/selva86/datasets/master/Ionosphere.csv"
df=pd.read_csv(url)
df.head()返回：
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 ... V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34 Class
0 1 0 0.99539 -0.05889 0.85243 0.02306 0.83398 -0.37708 1.00000 0.03760 0.85243 -0.17755 ... -0.47357 0.56811 -0.51171 0.41078 -0.46168 0.21266 -0.34090 0.42267 -0.54487 0.18641 -0.45300 1
1 1 0 1.00000 -0.18829 0.93035 -0.36156 -0.10868 -0.93597 1.00000 -0.04549 0.50874 -0.67743 ... -0.35734 -0.20332 -0.26569 -0.20468 -0.18401 -0.19040 -0.11593 -0.16626 -0.06288 -0.13738 -0.02447 0
2 1 0 1.00000 -0.03365 1.00000 0.00485 1.00000 -0.12062 0.88965 0.01198 0.73082 0.05346 ... -0.12062 0.57528 -0.40220 0.58984 -0.22145 0.43100 -0.17365 0.60436 -0.24180 0.56045 -0.38238 1
3 1 0 1.00000 -0.45161 1.00000 1.00000 0.71216 -1.00000 0.00000 0.00000 0.00000 0.00000 ... 0.00000 1.00000 0.90695 0.51613 1.00000 1.00000 -0.20099 0.25682 1.00000 -0.32382 1.00000 0
4 1 0 1.00000 -0.02401 0.94140 0.06531 0.92106 -0.23255 0.77152 -0.16399 0.52798 -0.20275 ... -0.52879 0.03286 -0.65158 0.13290 -0.53206 0.02431 -0.62197 -0.05707 -0.59573 -0.04608 -0.65697 1
英文:
You need to convert your URL so that it contains the raw.githubusercontent.com domain. The raw.githubusercontent.com domain is used to serve unprocessed versions of files stored in GitHub repositories. If you browse to a file on GitHub and then click the Raw link, that's where you'll go. This is what it would look like in your code:
import pandas as pd
url="https://raw.githubusercontent.com/selva86/datasets/master/Ionosphere.csv"
df=pd.read_csv(url)
df.head() returns:
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 ... V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34 Class
0 1 0 0.99539 -0.05889 0.85243 0.02306 0.83398 -0.37708 1.00000 0.03760 0.85243 -0.17755 ... -0.47357 0.56811 -0.51171 0.41078 -0.46168 0.21266 -0.34090 0.42267 -0.54487 0.18641 -0.45300 1
1 1 0 1.00000 -0.18829 0.93035 -0.36156 -0.10868 -0.93597 1.00000 -0.04549 0.50874 -0.67743 ... -0.35734 -0.20332 -0.26569 -0.20468 -0.18401 -0.19040 -0.11593 -0.16626 -0.06288 -0.13738 -0.02447 0
2 1 0 1.00000 -0.03365 1.00000 0.00485 1.00000 -0.12062 0.88965 0.01198 0.73082 0.05346 ... -0.12062 0.57528 -0.40220 0.58984 -0.22145 0.43100 -0.17365 0.60436 -0.24180 0.56045 -0.38238 1
3 1 0 1.00000 -0.45161 1.00000 1.00000 0.71216 -1.00000 0.00000 0.00000 0.00000 0.00000 ... 0.00000 1.00000 0.90695 0.51613 1.00000 1.00000 -0.20099 0.25682 1.00000 -0.32382 1.00000 0
4 1 0 1.00000 -0.02401 0.94140 0.06531 0.92106 -0.23255 0.77152 -0.16399 0.52798 -0.20275 ... -0.52879 0.03286 -0.65158 0.13290 -0.53206 0.02431 -0.62197 -0.05707 -0.59573 -0.04608 -0.65697 1
[5 rows x 35 columns]
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