csv

问题 This question already has an answer here : TypeError: unsupported operand type(s) for +=: 'int' and 'list' (1 answer) Closed 7 days ago . this is a function of counting sentimental score of each syntax and i am getting this error Traceback (most recent call last): File "C:/Users/Public/Downloads/Hotelsurvey.py", line 116, in <module> Countswordofeachsyntax() File "C:/Users/Public/Downloads/Hotelsurvey.py", line 92, in Countswordofeachsyntax print(findsentimentalscore(nopunct)) File "C:/Users

问题 I am writing a script that will update user attributes in Active Directory from a CSV file. I am down to only one error now and it is to do with the syntax. Not sure what the correct syntax is; I have provided the error that I receive when I run the script. Here is the script to update AD users from CSV file. #Updates AD user attributes from CSV file $credential = Get-Credential #Load data from file.csv $ADUsers = Import-csv file_location # Server $server = "127.0.0.1" # Count variable for

问题 I am writing a script that will update user attributes in Active Directory from a CSV file. I am down to only one error now and it is to do with the syntax. Not sure what the correct syntax is; I have provided the error that I receive when I run the script. Here is the script to update AD users from CSV file. #Updates AD user attributes from CSV file $credential = Get-Credential #Load data from file.csv $ADUsers = Import-csv file_location # Server $server = "127.0.0.1" # Count variable for

问题 when I save my dataframe to csv file, It is combined in one column, I want each column of data frame to appear in separated column in CSV file, this is the code df.to_csv(r'myData.csv',sep=',',encoding="utf-8",columns=['id','created_at','text']) but it is saved in one column of CSV file, in A column separated by comma 0,2019-09-28 08:58:13,"The TRUTH about Carbon Dioxide" and I want each value in separated column A,B,C Is there any way to do that? what I got is what I want is: thank you 回答1:

问题 I have a text file that contains a smaller dataset(taken from csv file) like so - 2020-05-24T10:44:37.613168#[ 0. 0. -0.06210425 0. ] 2020-05-24T10:44:37.302214#[1. 1. 0. 0.] 2020-05-24T10:44:36.192222#[0. 0. 0. 0.] Then read from it using data = f.readlines() for row in data: img_id, label = row.strip("\n").split("#") where in label is a string list which looks like [ 0. 0. -0.24604772 0. ] [ 0. 0. -0.24604772 0. ] [1. 1. 0. 0.] I'd like to convert each string element to float. However, the

问题 I have a text file that contains a smaller dataset(taken from csv file) like so - 2020-05-24T10:44:37.613168#[ 0. 0. -0.06210425 0. ] 2020-05-24T10:44:37.302214#[1. 1. 0. 0.] 2020-05-24T10:44:36.192222#[0. 0. 0. 0.] Then read from it using data = f.readlines() for row in data: img_id, label = row.strip("\n").split("#") where in label is a string list which looks like [ 0. 0. -0.24604772 0. ] [ 0. 0. -0.24604772 0. ] [1. 1. 0. 0.] I'd like to convert each string element to float. However, the

问题 I have a large csv file with lots of data that I need to be able to analysis (~6M rows). I want to connect to the file and run SQL command against it to return only the data I'm interested in analysing. The VBA I'm writing is in Excel 2010. Everything works fine when the number of rows in the csv file is < 4432669. When the csv file has more rows than this, the command seem to terminate at that point in the file and just returns what ever it has found up to that point. No Error is thrown (CN

问题 I have a large csv file with lots of data that I need to be able to analysis (~6M rows). I want to connect to the file and run SQL command against it to return only the data I'm interested in analysing. The VBA I'm writing is in Excel 2010. Everything works fine when the number of rows in the csv file is < 4432669. When the csv file has more rows than this, the command seem to terminate at that point in the file and just returns what ever it has found up to that point. No Error is thrown (CN

问题 I have a csv file with some data, I have names in column b and some related information in column A. However not all names have related information A B 1 JOHN 2 JANE 3 jane@email.com 4 phone:0800etcetc 5 ZAIN 6 MIKE 7 email 8 phon et etc I am trying to write a code that will read column A if there is information in column A I want it to print the name before that in column B and than print the information with that name. I hope it makes sense. Please let me know if there is a way of doing

问题 I am reading in a CSV file as a DataFrame while defining each column's data type. This code gives an error if the CSV file has a blank row in it. How do I read the CSV without blank rows? dtype = {'material_id': object, 'location_id' : object, 'time_period_id' : int, 'demand' : int, 'sales_branch' : object, 'demand_type' : object } df = pd.read_csv('./demand.csv', dtype = dtype) I thought of one workaround of doing something like this but not sure if this is the efficient way: df=pd.read_csv(