import pandas as pdimport tkinter.filedialogfn = tkinter.filedialog.askopenfilename(title='选择待转换的文件', filetypes=[('TXT文件', '.txt')])df = pd.read_csv(fn, header=None, encoding='GBK')with pd.ExcelWriter(r'test.xls') as writer:df.to_excel(writer, sheet_name='Sheet1', inde...
import os import pandas as pd df = [] for f in ['C:\\file.xls']: data = pd.re...
self.m_filename=''defsave(self, newfile=''):"""save excel :param newfile: new file path or name :return:"""asserttype(newfile)isstr,''newfile= dealpath(newfile)orself.m_filenameifnotnewfileor(self.m_existsandnewfile ==self.m_filename): self.m_book.Save()else: pathname=os.p...
import pandas as pd data = pd.read_csv('F:/train.csv',index_col=0) data.to_excel('F:/train.xlsx',encoding='utf-8') 1. 2. 3. excel转csv import pandas as pd data = pd.read_excel('F:/train.xlsx',index_col=0) data.to_csv('F:/train.csv',encoding='utf-8') 1. 2. 3....
importnumpyasnp importmatplotlib.pyplotasplt path=一、车次上车人数统计表.xlsx; data=pd.read_excel(path); tb=data.loc[data[车次]==D02,[日期,上车人数]].sort_values(日期); x=np.arange(1,len(tb.iloc[:,0])+1) y1=tb.iloc[:,1] plt.rcParams[font.sans-serif]=SimHei#设置字体为SimHei ...
1. Pandas:作为Python数据处理的首选,Pandas通过单行代码快速读取Excel文件,如:`import pandas as pd; rows = pd.read_excel('file.xlsx').to_dict('records')`。 2. Tablib:另一个流行库,代码简洁,一行即可完成:`import tablib; rows = tablib.Dataset().load(open('file.xlsx', 'rb') ...
首先,您需要确保工作簿“成都火锅店.csv”在电脑的某目录中。在该目录下,将执行转换并生成新的Excel文件。接着,利用Python和pandas库,通过以下代码实现转换操作:import pandas as pd 加载CSV文件 df = pd.read_csv('成都火锅店.csv')将数据写入Excel文件,并重命名默认工作表为“火锅”with pd.E ...
withopen("myLinks.txt",'a')assaved:print(links[:10],file=saved) 5.图像水印 importosfromPILimportImagedefwatermark_photo(input_image_path,watermark_image_path,output_image_path):base_image=Image.open(input_image_path)watermark=Image.open(watermark_image_path).convert("RGBA")# add watermark ...
xlrd用于读取Excel文件表格中的数据,rd含义就是read,同时支持xls和xlsx两种格式标准; xlwt用于将数据写入Excel文件,wt含义就是write,仅支持xls格式标准; xlutils依赖于xlrd和xlwt,提供读写相关支持的工具集,比如类型转换、workbook复制等。 吐槽一句,这3个东西原本应该做到一起的,搞成3个麻烦。
+ url)soup = BeautifulSoup(data.text, "html.parser")links = []for link in soup.find_all("a"):links.append(link.get("href"))# 将输出写入文件(myLinks.txt)而不是stdout# 每次都可以将“a”更改为“w”以覆盖文件with open("myLinks.txt", 'a') as saved:print(links[:10], file=saved...