Question

我的脚本输出为年份，以及该年份的文章字数：

public override void ImageDraw(Pdoc pdfDoc, Bitmap bitmap, int pagePos)
    {
        Graphics targetGraphics = Graphics.FromImage(bitmap);

        PDFPage previewPage = null;
        if (pdfDoc.GetPageNum() == 1)
        {

            previewPage = pdfDoc.GetPage(0);
        }
        else
        {
            previewPage = pdfDoc.GetPage(pagePos);
        }

        targetGraphics.PageUnit = GraphicsUnit.Point;

        PointF[] pointImageSize = { new PointF(bitmap.Width, bitmap.Height) };
        targetGraphics.TransformPoints(CoordinateSpace.Page, CoordinateSpace.Device, pointImageSize);

        PointF[] pixelPageSize = { new PointF(previewPage.Width, previewPage.Height) };
        targetGraphics.TransformPoints(CoordinateSpace.Device, CoordinateSpace.Page, pixelPageSize);
        targetGraphics.PageUnit = GraphicsUnit.Pixel;

        float scale = bitmap.Width / pixelPageSize[0].X;

        float matrixHeight = 0.0F;
        switch (this._PreviewTarget)
        {
            case PreivewTarget.Header:
                matrixHeight = (previewPage.Height * scale);
                break;
            case PreivewTarget.Footer:
                matrixHeight = previewPage.Height - (previewPage.Height - pointImageSize[0].Y);
                break;
        }

        Matrix matrix = new Matrix(scale, 0, 0, -scale, 0, matrixHeight);
        matrix.Rotate(90);

        RectangleF drawRect = new RectangleF(0, 0, previewPage.Width, previewPage.Height);

        previewPage.Draw(targetGraphics, matrix, drawRect, PDPage.DrawFlags.kPDPageUseAnnotFaces);

        targetGraphics.Dispose();
    }

我希望每年将其作为仅包含单词的现有数据框的新列添加。

预期输出：

我的脚本的输入是一个csv文件：

Terms 2013  2014  2015 
abc   118   76    90
xyz   23    0     36

我写的脚本是：

Terms
xyz
abc
efg

df = pd.read_csv('a.csv', header = None) for row in df.itertuples(): term = (str(row[1])) u = "http: term=%s&mindate=%d/01/01&maxdate=%d/12/31" print(term) startYear = 2013 endYear = 2018 for year in range(startYear, endYear+1): url = u % (term.replace(" ", "+"), year, year) page = urllib.request.urlopen(url).read() doc = ET.XML(page) count = doc.find("Count").text print(year) print(count)是：

df.head

任何帮助将不胜感激，在此先感谢!!

Answer 1

我会在数组中使用numpy读取csv，然后也使用numpy将其重新整形，然后将所得的matrix / 2D数组转换为DataFrame

Answer 2

应该执行以下操作：

#!/usr/bin/env python 

def mkdf(filename):
    def combine(term, l):
        d = {"term": term}
        d.update(dict(zip(l[::2], l[1::2])))
        return d

    term = None
    other = []
    with open(filename) as I:
        n = 0
        for line in I:
            line = line.strip()
            try:
                int(line)
            except Exception as e:
                # not an int
                if term:    # if we have one, create the record
                     yield combine(term, other)

                term = line
                other = []
                n = 0
            else:
                if n > 0:
                    other.append(line)
            n += 1

        # and the last one 
        yield combine(term, other)

if __name__ == "__main__":
    import pandas as pd
    import sys

    df = pd.DataFrame([r for r in mkdf(sys.argv[1])])
    print(df)

用法：python scriptname.py / tmp / IN（或其他包含您数据的文件）

输出：

  2013 2014  term
0  118   23  abcd
1    1   45   xyz

在pandas数据框中写入行并将其附加到现有数据框中

2 个答案: