如何使用Pandas从CSV读取特定的列索引 [英] How to read specific column index from csv using pandas

问题描述

是否有某种方法可以使用Pandas(最好是read_csv)从csv文件中读取具有特定索引的特定列?我知道read_csv提供了按列名读取特定列的功能，但是数据文件没有标题，因此我无法使用列名.请注意，该文件太大，因此我不想先读取整个文件，然后再读取子集.谢谢.

Is there some way of reading only a particular column with specific index from a csv file using Pandas(preferably read_csv)? I understand that read_csv provides the ability to read specific columns by column names, but the data file has no headers so I cannot use column names. Note that the file is too large, so I do not want to read in the entire file and then subset. Thanks.

推荐答案

下面是一个示例，说明了EdChum给出的答案.有很多其他选项可以加载CSV文件，请检查

Here is an example illustrating the answer given by EdChum. There is a lot of additional options to load a CSV file, check the API reference.

raw_data = {'first_name': ['Steve', 'Guido', 'John'],
        'last_name': ['Jobs', 'Van Rossum', "von Neumann"]}
df = pd.DataFrame(raw_data)
# Saving data without header
df.to_csv(path_or_buf='test.csv', header=False)
# Telling that there is no header and loading only the first name
df = pd.read_csv(filepath_or_buffer='test.csv', header=None, usecols=[1], names=['first_name'])
df

  first_name
0      Steve
1      Guido
2       John

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