有时候,CSV文件可能使用除逗号以外的分隔符,可以使用sep参数来指定分隔符。 import pandas as pd # 使用分号作为分隔符读取CSV数据 df = pd.read_csv('data_semicolon.csv', sep=';') 跳过行和指定列 可以使用skiprows参数来跳过文件的一些行,以及使用usecols参数选择要读取的列。 import pandas as pd # 跳过...
importpandasaspd# 使用分号作为分隔符读取CSV数据df=pd.read_csv('data_semicolon.csv',sep=';') 跳过行和指定列 可以使用skiprows参数来跳过文件的一些行,以及使用usecols参数选择要读取的列。 importpandasaspd# 跳过前两行并只读取第一列和第三列数据df=pd.read_csv('data.csv',skiprows=[0,1],usecols=[...
2 Solving csv files with quoted semicolon in Pandas data frame 1 Unable to read CSV file with semicolon in rows. Not able to use drop function in pandas to delete the rows 0 Pandas read_csv - Ignore Escape Char in SemiColon Seperated File 0 Replace comma with semicolon when creat...
如果我在代码中删除了sep=',那么它正在转换文件,但是整个数据是在一个列中而不是在它们的预期列中。 import pandas as pd df = pd.read_csv(open('duplicate1.csv'),'Sheet1',sep=',',delimiter=None, index_col=0) df.to_excel('duplicateexcel.xlsx',encoding='utf-8') 预期: This shoul 浏览1提...
By default, CSV is delimited by commas ("Comma-Separated Values"), but your file is delimited by semicolons. To make matters worse, you do have commas in your file, but you use them as decimal separators, and not the default period. These defaults mean that the fields in your first ...
csv')import pandas as pd df = pd.read_csv('file_with_semicolons.< 浏览12提问于2022-02-10得票数 0 回答已采纳 2回答 使用pandas读取以^@为分隔符的TXT文件 、、 我有一个TXT和CSV文件,分隔符为“^@”(我可以在VIM编辑器中查看它,在notepad++中它显示为null )我想使用它作为Python(pandas)中数据...
if separator is a semicolon and not a regular comma pd.read_csv("path", sep=';') data exploration df.info() add a new column red['type'] = 1 white['type'] = 0 # append 'white' to 'red' wines = red.append(white, ignore_index=True) ...
# Importing pandas packageimportpandasaspd# Importing StringIO module from io modulefromioimportStringIO# Creating a stringstring=StringIO("""Name;Age;GenderHarry;20;MaleTom;23;MaleAlexa;21;FemaleNancy;20;FemaleJason;25;Male""")# Reading String in form of csv filedf=pd.read_csv(string, sep...
如果要将具有19位ID（如1660382709472047104）的.csv导入到excel中，则无法使其看起来像number。考虑将这些...