WebNov 4, 2024 · The list of columns is passed to the usecols parameter while reading. It is better than dropping later on if you know the column names beforehand. df_spec = pd.read_csv ("/content/churn.csv", usecols= ['Gender', 'Age', 'Tenure', 'Balance']) df_spec.head () (image by author) 3. Reading a part of the dataframe WebFeb 17, 2024 · usecols= is used to specify which columns to read in, by passing in a list of column labels skiprows= and skipfooter= can specify a number of rows to skip at the top or bottom (and the skiprows parameter can even accept a callable) parse_dates= accepts a list of columns to parse as dates

pandas.read_csv — pandas 2.0.0 documentation

WebOct 24, 2024 · We will pass the first parameter as the CSV file and the second parameter the list of specific columns in the keyword usecols. It will return the data of the CSV file of specific columns. Example 1: Link of the CSV file used: link Python3 import pandas as pd df = pd.read_csv ("student_scores2.csv", usecols = ['IQ','Scores']) print(df) Output Webusecols オプションを指定する。 このオプションで指定したカラムのみを読み込む。 カラムをintで指定することも文字列で指定することもできる。 df = pd.read_csv("example.csv", usecols=[0, 2]) print(df) # a c # 0 1 2 # 1 2 3 # 2 3 1 df = pd.read_csv("example.csv", usecols=["a", "c"]) print(df) # a c # 0 1 2 # 1 2 3 # 2 3 1 書き方② 除外するカラムを指定 … office 365 login oslo met

Python pandas 데이터 생성, 로딩과 저장, 색인 관리하는 법

WebAug 19, 2024 · Selecting rows and columns from a pandas Dataframe If we know which columns we want before we read the data from the file we can tell read_csv () to only import those columns by specifying columns either by their index number (starting at 0) as a list to the usecols parameter. Alternatively we can also provide a list of column names. WebJan 5, 2024 · You can use the usecols argument within the read_csv () function to read specific columns from a CSV file into a pandas DataFrame. There are two common ways … http://duoduokou.com/python/32721556339019577608.html office 365 login passwort ändern