使用pandas read_table读取csv文件的方法

技术  /  管理员 发布于 7年前   144

read_csv是pandas中专门用于csv文件读取的功能，不过这并不是唯一的处理方式。pandas中还有读取表格的通用函数read_table。

接下来使用read_table功能作一下csv文件的读取尝试，使用此功能的时候需要指定文件中的内容分隔符。

查看csv文件的内容如下；

In [10]: cat data.csvindex,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]: data1Out[13]:  index  name comment Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 60  1 name_01 coment_01   NaN   NaN   NaN   NaN1  2 name_02 coment_02   NaN   NaN   NaN   NaN2  3 name_03 coment_03   NaN   NaN   NaN   NaN3  4 name_04 coment_04   NaN   NaN   NaN   NaN4  5 name_05 coment_05   NaN   NaN   NaN   NaN5  6 name_06 coment_06   NaN   NaN   NaN   NaN6  7 name_07 coment_07   NaN   NaN   NaN   NaN7  8 name_08 coment_08   NaN   NaN   NaN   NaN8  9 name_09 coment_09   NaN   NaN   NaN   NaN9  10 name_10 coment_10   NaN   NaN   NaN   NaN10  11 name_11 coment_11   NaN   NaN   NaN   NaN11  12 name_12 coment_12   NaN   NaN   NaN   NaN12  13 name_13 coment_13   NaN   NaN   NaN   NaN13  14 name_14 coment_14   NaN   NaN   NaN   NaN14  15 name_15 coment_15   NaN   NaN   NaN   NaN15  16 name_16 coment_16   NaN   NaN   NaN   NaN16  17 name_17 coment_17   NaN   NaN   NaN   NaN17  18 name_18 coment_18   NaN   NaN   NaN   NaN18  19 name_19 coment_19   NaN   NaN   NaN   NaN19  20 name_20 coment_20   NaN   NaN   NaN   NaN20  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]: data2Out[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,,,,

不知道此功能对其他格式的数据的读取功能会不会有自动识别的功能，需要继续确认。

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