是否有一个 Python 模块来处理带有部分的 csv 文件

您可以使用configparser模块来读取您的文件:

from configparser import ConfigParser
import io
import pandas as pd

cfg = ConfigParser(allow_no_value=True)
cfg.optionxform = str
cfg.read('data.csv')

dfs = {}
for section in cfg.sections():
    buf = io.StringIO()
    buf.writelines('\n'.join(row.rstrip(',') for row in cfg[section]))
    buf.seek(0)
    dfs[section] = pd.read_csv(buf)

输出:

>>> dfs['gene-expression']
Empty DataFrame
Columns: [reference, /path/to/transcriptome]
Index: []

>>> dfs['libraries']
  fastq_id           fastqs         feature_types
0     gex1  /path/to/fastqs       Gene Expression
1     mux1  /path/to/fastqs  Multiplexing Capture

>>> dfs['samples']
  sample_id cmo_ids
0   sample1  CMO301
1   sample2  CMO303

现在，您还可以只想提取一个部分:

cfg = ConfigParser(allow_no_value=True)
cfg.optionxform = str
cfg.read('data.csv')

def read_data(section):
    buf = io.StringIO()
    buf.writelines('\n'.join(row.rstrip(',') for row in cfg[section]))
    buf.seek(0)
    return pd.read_csv(buf)

df = read_data('samples')

输出:

>>> df
  sample_id cmo_ids
0   sample1  CMO301
1   sample2  CMO303