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我有一个函数可以将一组信息按行写入 Python 中的 CSV 文件。该函数应该将文件附加到新行，但是我发现有时它会行为不端并将新行放置在 CSV 的单独空间中（请参见图片作为示例）。

每当我手动重新格式化数据时，我都会再次删除所有空单元格，所以你知道。

希望有人能帮忙，谢谢！

def Logger():

    fileName = myDict[Sub]

    with open(fileName, 'a+', newline="") as file:
        writer = csv.writer(file)

        if file.tell() == 0:
            writer.writerow(["Date", "Asset", "Fear", "Anger", "Anticipation", "Trust", "Surprise", "Sadness", "Disgust", "Joy",
                        "Positivity", "Negativity"])
        writer.writerow([date, Sub, fear, anger, anticip, trust, surprise, sadness, disgust, joy, positivity, negativity])

在此处输入图像描述

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2 回答 2

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起初我认为这是一个简单的问题，没有尾随换行符，并且新行被附加在同一行，就在最后一行之后，但我可以看到它们之间看起来像一行的空列。

这整个附加的东西看起来很棘手。如果您不必使用 Python，而可以使用命令行工具，我推荐GoCSV。

这是基于我模拟的屏幕截图的示例文件：

基础.csv

Date,Asset,Fear,Anger,Anticipation,Trust,Surprise,Sadness,Disgust,Joy,Positivity,Negativity
Nov 1,5088,0.84,0.58,0.73,1.0,0.26,0.89,0.22,0.5,0.69,0.59
Nov 2,4580,0.0,0.88,0.7,0.71,0.57,0.78,0.2,0.22,0.21,0.17
Nov 3,2469,0.72,0.4,0.66,0.53,0.65,0.64,0.67,0.78,0.54,0.32,,,,,,,

我称它为 base 是因为它是会增长的文件，你可以在最后一行看到它有一个问题：所有这些额外的逗号（我不知道他们是如何到达那里的 ‍♂️）。

第一步是清理它，并修剪那些讨厌的额外逗号：

% gocsv clean base.csv > tmp
% mv tmp > base.csv

现在base.csv看起来像：

Date,Asset,Fear,Anger,Anticipation,Trust,Surprise,Sadness,Disgust,Joy,Positivity,Negativity
Nov 1,5088,0.84,0.58,0.73,1.0,0.26,0.89,0.22,0.5,0.69,0.59
Nov 2,4580,0.0,0.88,0.7,0.71,0.57,0.78,0.2,0.22,0.21,0.17
Nov 3,2469,0.72,0.4,0.66,0.53,0.65,0.64,0.67,0.78,0.54,0.32

这是要附加的另一组数据sample2.csv：

Date,Asset,Fear,Anger,Anticipation,Trust,Surprise,Sadness,Disgust,Joy,Positivity,Negativity
Nov 4,6040,0.69,0.89,0.72,0.44,0.21,0.15,0.03,0.63,0.78,0.42
Nov 5,7726,0.72,0.12,0.95,0.6,0.88,0.1,0.43,1.0,1.0,0.68
Nov 6,9028,0.87,0.34,0.46,0.57,0.15,0.3,0.8,0.32,0.17,0.42
Nov 7,3544,0.16,0.9,0.37,0.8,0.67,0.0,0.11,0.72,0.93,0.35

GoCSV 的stack命令将完成这项工作：

% gocsv stack base.csv sample2.csv > tmp
% mv tmp base.csv

现在base.csv看起来像：

Date,Asset,Fear,Anger,Anticipation,Trust,Surprise,Sadness,Disgust,Joy,Positivity,Negativity
Nov 1,5088,0.84,0.58,0.73,1.0,0.26,0.89,0.22,0.5,0.69,0.59
Nov 2,4580,0.0,0.88,0.7,0.71,0.57,0.78,0.2,0.22,0.21,0.17
Nov 3,2469,0.72,0.4,0.66,0.53,0.65,0.64,0.67,0.78,0.54,0.32
Nov 4,6040,0.69,0.89,0.72,0.44,0.21,0.15,0.03,0.63,0.78,0.42
Nov 5,7726,0.72,0.12,0.95,0.6,0.88,0.1,0.43,1.0,1.0,0.68
Nov 6,9028,0.87,0.34,0.46,0.57,0.15,0.3,0.8,0.32,0.17,0.42
Nov 7,3544,0.16,0.9,0.37,0.8,0.67,0.0,0.11,0.72,0.93,0.35

这可以像这样编写和简化：

% gocsv clean base.csv > base
% gocsv clean sample.csv > sample
% gocsv stack base sample > base.csv
% rm base sample
于 2021-11-05T01:30:13.900 回答
0

试试这个...

    def Logger(col_one, col_two):
        fileName = 'data.csv'

        with open(fileName, 'a+') as file:
            writer = csv.writer(file)
            file.seek(0)
            if file.read().strip() == '':
                writer.writerow(["Date", "Asset"])
            writer.writerow([col_one, col_two])
于 2021-11-04T18:07:15.153 回答