pandas dataframe.apply -- 将十六进制字符串转换为整数 [英] pandas dataframe.apply -- converting hex string to int number

问题描述

我对 python 和 Pandas 都很陌生.我想知道如何将数据框元素从十六进制字符串输入转换为整数，我也遵循了以下提供的解决方案:将 Pandas 数据框列从十六进制字符串转换为 int

I am very new to both python and pandas. I would like to know how to convert dataframe elements from hex string input to integer number, also I have followed the solution provided by: convert pandas dataframe column from hex string to int

但是，它仍然无法正常工作.以下是我的代码:

However, it is still not working. The following is my code:

df = pd.read_csv(filename, delim_whitespace = True, header = None, usecols = range(7,23,2))
for i in range(num_frame):
    skipheader = lineNum[header_padding + i*2]
    data = df.iloc[skipheader:skipheader + 164:2]
    data_numeric = data.apply(lambda x: int(x, 16))
    dataframe.append(data)

数据变量看起来像:数据变量(类型:DataFrame)还有 spyder 中的控制台输出:在此处输入图像描述

the data variable looks like: data variable (type:DataFrame) also the console output in spyder:enter image description here

错误发生在 data_numeric = data.apply(lambda x: int(x, 16))错误信息是

the error happens at data_numeric = data.apply(lambda x: int(x, 16)) and the error message is

TypeError: ("int() can't convert non-string with explicit base", u'occurred at index 7')

我也试过data_numeric = data.apply(pd.to_numeric, errors='coerce')但是所有的十六进制数都变成了 NaN，这不是我想要的.有什么建议么?非常感谢提前！

I had also trydata_numeric = data.apply(pd.to_numeric, errors='coerce') but all the hex number turn into NaN, which is not I want. Any suggestions? Thanks a lot in advance!!!

推荐答案

假设我们有以下 DF:

assume we have the following DF:

In [62]: df
Out[62]:
     a   b    c
0  1C8  21  15F
1  0C3  B7  FFC

我们可以这样做:

In [64]: df = df.apply(lambda x: x.astype(str).map(lambda x: int(x, base=16)))

In [65]: df
Out[65]:
     a    b     c
0  456   33   351
1  195  183  4092

In [66]: df.dtypes
Out[66]:
a    int64
b    int64
c    int64
dtype: object

PS x.astype(str) 是出于安全原因完成的 - 如果您的某些列已经是数字 dtype

PS x.astype(str) is done for security reasons - in case if some of your columns are already of numeric dtype

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