pandas - 在 Pandas 中将标头添加到 .data 文件
问题描述
给定一个扩展名为 的文件.data
,我已阅读它pd.read_fwf("./input.data", sep=",", header = None)
:
出去:
0
0 63.0,1.0,1.0,145.0,233.0,1.0,2.0,150.0,0.0,2.3...
1 67.0,1.0,4.0,160.0,286.0,0.0,2.0,108.0,1.0,1.5...
2 67.0,1.0,4.0,120.0,229.0,0.0,2.0,129.0,1.0,2.6...
3 37.0,1.0,3.0,130.0,250.0,0.0,0.0,187.0,0.0,3.5...
4 41.0,0.0,2.0,130.0,204.0,0.0,2.0,172.0,0.0,1.4...
... ...
292 57.0,0.0,4.0,140.0,241.0,0.0,0.0,123.0,1.0,0.2...
293 45.0,1.0,1.0,110.0,264.0,0.0,0.0,132.0,0.0,1.2...
294 68.0,1.0,4.0,144.0,193.0,1.0,0.0,141.0,0.0,3.4...
295 57.0,1.0,4.0,130.0,131.0,0.0,0.0,115.0,1.0,1.2...
296 57.0,0.0,2.0,130.0,236.0,0.0,2.0,174.0,0.0,0.0...
如何向其中添加以下列名称?谢谢。
col_names = ["age", "sex", "cp", "restbp", "chol", "fbs", "restecg",
"thalach", "exang", "oldpeak", "slope", "ca", "thal", "num"]
更新:
pd.read_fwf("./input.data", names = col_names)
出去:
age sex cp restbp chol fbs restecg thalach exang oldpeak slope ca thal num
0 63.0,1.0,1.0,145.0,233.0,1.0,2.0,150.0,0.0,2.3... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 67.0,1.0,4.0,160.0,286.0,0.0,2.0,108.0,1.0,1.5... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 67.0,1.0,4.0,120.0,229.0,0.0,2.0,129.0,1.0,2.6... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 37.0,1.0,3.0,130.0,250.0,0.0,0.0,187.0,0.0,3.5... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
4 41.0,0.0,2.0,130.0,204.0,0.0,2.0,172.0,0.0,1.4... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
292 57.0,0.0,4.0,140.0,241.0,0.0,0.0,123.0,1.0,0.2... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
293 45.0,1.0,1.0,110.0,264.0,0.0,0.0,132.0,0.0,1.2... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
294 68.0,1.0,4.0,144.0,193.0,1.0,0.0,141.0,0.0,3.4... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
295 57.0,1.0,4.0,130.0,131.0,0.0,0.0,115.0,1.0,1.2... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
296 57.0,0.0,2.0,130.0,236.0,0.0,2.0,174.0,0.0,0.0... NaN NaN NaN NaN NaN NaN
解决方案
如果检查read_fwf
:
将固定宽度格式行的表格读入 DataFrame。
所以如果有分隔符,
使用read_csv
:
col_names = ["age", "sex", "cp", "restbp", "chol", "fbs", "restecg",
"thalach", "exang", "oldpeak", "slope", "ca", "thal", "num"]
df = pd.read_csv("input.data", names=col_names)
print (df)
age sex cp restbp chol fbs restecg thalach exang oldpeak \
0 63.0 1.0 1.0 145.0 233.0 1.0 2.0 150.0 0.0 2.3
1 67.0 1.0 4.0 160.0 286.0 0.0 2.0 108.0 1.0 1.5
2 67.0 1.0 4.0 120.0 229.0 0.0 2.0 129.0 1.0 2.6
3 37.0 1.0 3.0 130.0 250.0 0.0 0.0 187.0 0.0 3.5
4 41.0 0.0 2.0 130.0 204.0 0.0 2.0 172.0 0.0 1.4
.. ... ... ... ... ... ... ... ... ... ...
292 57.0 0.0 4.0 140.0 241.0 0.0 0.0 123.0 1.0 0.2
293 45.0 1.0 1.0 110.0 264.0 0.0 0.0 132.0 0.0 1.2
294 68.0 1.0 4.0 144.0 193.0 1.0 0.0 141.0 0.0 3.4
295 57.0 1.0 4.0 130.0 131.0 0.0 0.0 115.0 1.0 1.2
296 57.0 0.0 2.0 130.0 236.0 0.0 2.0 174.0 0.0 0.0
slope ca thal num
0 3.0 0.0 6.0 0
1 2.0 3.0 3.0 1
2 2.0 2.0 7.0 1
3 3.0 0.0 3.0 0
4 1.0 0.0 3.0 0
.. ... ... ... ...
292 2.0 0.0 7.0 1
293 2.0 0.0 7.0 1
294 2.0 2.0 7.0 1
295 2.0 1.0 7.0 1
296 2.0 1.0 3.0 1
[297 rows x 14 columns]
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