代码适用于一个功能，但不适用于两个功能答案

【问题标题】：Code works with one function, but not with two functions代码适用于一个功能，但不适用于两个功能
【发布时间】：2019-03-10 07:05:37
【问题描述】：

我的问题是，如果我使用两个函数，这段代码不接受两个输入参数。

我也尝试在第二个函数中插入和删除点击命令和点击选项，但我总是得到主应用程序要求额外的参数（需要给出 2）或者代码没有执行第二个功能。 ("add_new_column")

我在这里做错了什么？

import pandas as pd

@click.command()
@click.option('--infile', prompt='Your input TSV filename', help='Write your tab separated value filename.')
@click.option('--out', prompt='Your output CSV filename', help='Write your new comma separated value filename.')
def convert_tsv_to_csv(infile, out):
    """Converting a Tab Separated Value into a Comma Separated Value for given files in cli arguments"""
    df = pd.read_csv(infile, delimiter='\t')
    df.to_csv(out, sep=',')

# @click.command()
# @click.option('--out', prompt='Your output CSV filename', help='Write your new comma separated value filename.')
# def add_new_column(out):
#     """Adding a new column named  "price_edited"   """
#     df = pd.read_csv(out, delimiter=',')
#     # this line creates a new cloned column from price column, which is a Pandas series.
#     # we then add the series to the dataframe, which holds our parsed CSV file
#     df['price_edited'] = df['price']
#     # save the dataframe to CSV
#     df.to_csv(out, sep=',')


if __name__ == '__main__':
    convert_tsv_to_csv()
    #add_new_column()```

第二次尝试：

import click
import pandas as pd


@click.command()
@click.option('--infile', prompt='Your input TSV filename', help='Write your tab separated value filename.')
@click.option('--out', prompt='Your output CSV filename', help='Write your new comma separated value filename.')
def convert_tsv_to_csv(infile, out):
    """Converting a Tab Separated Value into a Comma Separated Value for given files in cli arguments"""
    df = pd.read_csv(infile, delimiter='\t')
    df.to_csv(out, sep=',')


def add_new_column():
    """Adding a new column named  "price_edited"   """
    df = pd.read_csv(out, delimiter=',')
    # this line creates a new cloned column from price column, which is a Pandas series.
    # we then add the series to the dataframe, which holds our parsed CSV file
    df['price_edited'] = df['price']
    # save the dataframe to CSV
    df.to_csv(out, sep=',')


if __name__ == '__main__':
    convert_tsv_to_csv()
    add_new_column()

【问题讨论】：

您的第二次尝试在我的机器上运行。没有错误。
但它没有执行“添加新列”功能
第二个例子永远不会像你期望的那样工作，see here。 Click 是一个实现命令行的工具。你希望你的命令行是什么样的？
@StephenRauch, python runme.py --infile 1.csv --out 2.csv 我也想将这两个参数传递给第二个函数（我实际上只需要传递 out在这个特定的第二个功能案例中......）
啊，我明白了。只需将“添加新列”功能传入您的点击功能即可。请参阅下面的我的工作解决方案。只需添加 1 行：add_new_column(out)

标签： python python-3.x command-line-interface python-click

【解决方案1】：

您的困惑在于对 Click 所做的事情的误解。 Click 用于解析命令行，然后运行命令行指定的函数。

在您在这里展示的示例中，从命令行的角度来看，您只需要一个函数。也就是说，程序每次运行时都会做同样的事情。所以你只需要一键功能。

但我有两件事要做！

将工作分成两个函数当然是有意义的，但是这两个函数需要像这样从单击函数中调用：

import pandas as pd
import click


@click.command()
@click.option('--infile', prompt='Your input TSV filename',
              help='Write your tab separated value filename.')
@click.option('--out', prompt='Your output CSV filename',
              help='Write your new comma separated value filename.')
def cli(infile, outfile):
    convert_tsv_to_csv(infile, outfile)
    add_new_column(outfile)


def convert_tsv_to_csv(infile, out):
    """Converting a Tab Separated Value into a Comma Separated Value
    for given files in cli arguments"""
    df = pd.read_csv(infile, delimiter='\t')
    df.to_csv(out, sep=',')


def add_new_column(out):
    """Adding a new column named  "price_edited"   """
    df = pd.read_csv(out, delimiter=',')
    # this line creates a new cloned column from price column, which
    # is a Pandas series.  We then add the series to the dataframe,
    # which holds our parsed CSV file
    df['price_edited'] = df['price']

    # save the dataframe to CSV
    df.to_csv(out, sep=',')

if __name__ == '__main__':
    cli()

【讨论】：