怎么在pandas中使用read_table读取csv文件？相信很多没有经验的人对此束手无策，为此本文总结了问题出现的原因和解决方法，通过这篇文章希望你能解决这个问题。
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查看csv文件的内容如下；
In [10]: cat data.csv
index,name,comment,,,,
1,name_01,coment_01,,,,
2,name_02,coment_02,,,,
3,name_03,coment_03,,,,
4,name_04,coment_04,,,,
5,name_05,coment_05,,,,
6,name_06,coment_06,,,,
7,name_07,coment_07,,,,
8,name_08,coment_08,,,,
9,name_09,coment_09,,,,
10,name_10,coment_10,,,,
11,name_11,coment_11,,,,
12,name_12,coment_12,,,,
13,name_13,coment_13,,,,
14,name_14,coment_14,,,,
15,name_15,coment_15,,,,
16,name_16,coment_16,,,,
17,name_17,coment_17,,,,
18,name_18,coment_18,,,,
19,name_19,coment_19,,,,
20,name_20,coment_20,,,,
21,name_21,coment_21,,,,
使用pandas读取文件内容如下：In [11]: data1 = pd.read_table('data.csv',sep=',')
In [12]: type(data1)
Out[12]: pandas.core.frame.DataFrame
In [13]: data1
Out[13]:
index name comment Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 6
0 1 name_01 coment_01 NaN NaN NaN NaN
1 2 name_02 coment_02 NaN NaN NaN NaN
2 3 name_03 coment_03 NaN NaN NaN NaN
3 4 name_04 coment_04 NaN NaN NaN NaN
4 5 name_05 coment_05 NaN NaN NaN NaN
5 6 name_06 coment_06 NaN NaN NaN NaN
6 7 name_07 coment_07 NaN NaN NaN NaN
7 8 name_08 coment_08 NaN NaN NaN NaN
8 9 name_09 coment_09 NaN NaN NaN NaN
9 10 name_10 coment_10 NaN NaN NaN NaN
10 11 name_11 coment_11 NaN NaN NaN NaN
11 12 name_12 coment_12 NaN NaN NaN NaN
12 13 name_13 coment_13 NaN NaN NaN NaN
13 14 name_14 coment_14 NaN NaN NaN NaN
14 15 name_15 coment_15 NaN NaN NaN NaN
15 16 name_16 coment_16 NaN NaN NaN NaN
16 17 name_17 coment_17 NaN NaN NaN NaN
17 18 name_18 coment_18 NaN NaN NaN NaN
18 19 name_19 coment_19 NaN NaN NaN NaN
19 20 name_20 coment_20 NaN NaN NaN NaN
20 21 name_21 coment_21 NaN NaN NaN NaN
不过在几番尝试下来，发现这个分隔符缺省的时候倒是也能够读出数据。
In [16]: data2 = pd.read_table('data.csv')In [17]: data2
Out[17]:
index,name,comment,,,,
0 1,name_01,coment_01,,,,
1 2,name_02,coment_02,,,,
2 3,name_03,coment_03,,,,
3 4,name_04,coment_04,,,,
4 5,name_05,coment_05,,,,
5 6,name_06,coment_06,,,,
6 7,name_07,coment_07,,,,
7 8,name_08,coment_08,,,,
8 9,name_09,coment_09,,,,
9 10,name_10,coment_10,,,,
10 11,name_11,coment_11,,,,
11 12,name_12,coment_12,,,,
12 13,name_13,coment_13,,,,
13 14,name_14,coment_14,,,,
14 15,name_15,coment_15,,,,
15 16,name_16,coment_16,,,,
16 17,name_17,coment_17,,,,
17 18,name_18,coment_18,,,,
18 19,name_19,coment_19,,,,
19 20,name_20,coment_20,,,,
20 21,name_21,coment_21,,,,
看完上述内容，你们掌握怎么在pandas中使用read_table读取csv文件的方法了吗？如果还想学到更多技能或想了解更多相关内容，欢迎关注创新互联行业资讯频道，感谢各位的阅读！
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