[英]Python Pandas: 'read_table' with no header; adding column headers but they shift
I want to add a column name for each column but when I ran the code it shifted my column heading over two columns and added a two columns of NaN.我想为每列添加一个列名,但是当我运行代码时,它将列标题移到两列上,并添加了两列NaN。 What is causing this and is there a correction?
是什么原因造成的,并且有更正吗?
Another question;另一个问题; how do you pull a particular column with no columns names?
如何提取没有列名的特定列? I was trying df[0] (1,2, etc) but I receive an error.
我正在尝试df [0](1,2等),但收到错误消息。
df = pd.read_table('numcyc.dat', header=None, names = df_cols)
print(df)
place loc time
0 3 111.1 44 NaN NaN
1 3 111.1 34 NaN NaN
2 4 111.1 23 NaN NaN
3 2 111.1 16 NaN NaN
I want to add a column name for each column but when I ran the code it shifted my column heading over two columns and added a two columns of NaN.我想为每列添加一个列名,但是当我运行代码时,它将列标题移到两列上,并添加了两列NaN。 What is causing this and is there a correction?
是什么原因造成的,并且有更正吗?
Another question;另一个问题; how do you pull a particular column with no columns names?
如何提取没有列名的特定列? I was trying df[0] (1,2, etc) but I receive an error.
我正在尝试df [0](1,2等),但收到错误消息。
df = pd.read_table('numcyc.dat', header=None, names = df_cols)
print(df)
place loc time
0 3 111.1 44 NaN NaN
1 3 111.1 34 NaN NaN
2 4 111.1 23 NaN NaN
3 2 111.1 16 NaN NaN
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