csv

问题 I am trying the kaggle challenge here, and unfortunately I am stuck at a very basic step. My limited python knowledge has to be blamed for this. I am trying to read the datasets into a pandas dataframe by executing following command: test = pd.DataFrame.from_csv("C:/Name/DataMining/hillary/data/output/emails.csv") The problem is that this file as you would find out has over 300,000 records, but I am reading only 7945, 21. print (test.shape) (7945, 21) Now I have double checked the file and I

问题 I am trying the kaggle challenge here, and unfortunately I am stuck at a very basic step. My limited python knowledge has to be blamed for this. I am trying to read the datasets into a pandas dataframe by executing following command: test = pd.DataFrame.from_csv("C:/Name/DataMining/hillary/data/output/emails.csv") The problem is that this file as you would find out has over 300,000 records, but I am reading only 7945, 21. print (test.shape) (7945, 21) Now I have double checked the file and I

问题 I use ADODB.Connection and ADODB.Recordset to get data from csv files. The problem I am facing is that the delimiter seems not to work in case of semicolon (or other than comma). I am working with a semicolon as a delimiter. This is my code: Public Function getDataFromFile(path As String, filename As String) As ADODB.Recordset Dim cN As ADODB.Connection Dim RS As ADODB.Recordset Set cN = New ADODB.Connection Set RS = New ADODB.Recordset cN.Open ("Provider=Microsoft.ACE.OLEDB.12.0;Data Source=

问题 I am trying to work with csv files contained in a tar.gz file and I am having issues passing the correct data/object through to the csv module. Say I have a tar.gz file with a number of csv files formated as follows. 1079,SAMPLE_A,GROUP,001,,2017/02/15 22:57:30 1041,SAMPLE_B,GROUP,023,,2017/02/15 22:57:26 1077,SAMPLE_C,GROUP,005,,2017/02/15 22:57:31 1079,SAMPLE_A,GROUP,128,,2017/02/15 22:57:38 I want to be able to access each csv file in memory without extracting each file from the tar file

问题 I am trying to work with csv files contained in a tar.gz file and I am having issues passing the correct data/object through to the csv module. Say I have a tar.gz file with a number of csv files formated as follows. 1079,SAMPLE_A,GROUP,001,,2017/02/15 22:57:30 1041,SAMPLE_B,GROUP,023,,2017/02/15 22:57:26 1077,SAMPLE_C,GROUP,005,,2017/02/15 22:57:31 1079,SAMPLE_A,GROUP,128,,2017/02/15 22:57:38 I want to be able to access each csv file in memory without extracting each file from the tar file

问题 I am trying to work with csv files contained in a tar.gz file and I am having issues passing the correct data/object through to the csv module. Say I have a tar.gz file with a number of csv files formated as follows. 1079,SAMPLE_A,GROUP,001,,2017/02/15 22:57:30 1041,SAMPLE_B,GROUP,023,,2017/02/15 22:57:26 1077,SAMPLE_C,GROUP,005,,2017/02/15 22:57:31 1079,SAMPLE_A,GROUP,128,,2017/02/15 22:57:38 I want to be able to access each csv file in memory without extracting each file from the tar file

问题 Most questions around reading strings from disk in Python involve codec issues. In contrast, I have a CSV file that just flat out has garbage data in it. Here's how to create an example: b = bytearray(b'a,b,c\n1,2,qwe\n10,-20,asdf') b[10] = 0xff b[11] = 0xff with open('foo.csv', 'wb') as fid: fid.write(b) Note that the second row, third column has two bytes, 0xFF , which don't represent any encoding, just a small amount of garbage data. When I try to read this with pandas.read_csv: import

问题 Most questions around reading strings from disk in Python involve codec issues. In contrast, I have a CSV file that just flat out has garbage data in it. Here's how to create an example: b = bytearray(b'a,b,c\n1,2,qwe\n10,-20,asdf') b[10] = 0xff b[11] = 0xff with open('foo.csv', 'wb') as fid: fid.write(b) Note that the second row, third column has two bytes, 0xFF , which don't represent any encoding, just a small amount of garbage data. When I try to read this with pandas.read_csv: import

问题 I am writing a demo web application that tracks multiple devices through my companies platform. I have the app working, but need a csv file that will simulate devices moving on a map as if they were a tracker attached to a car. The simulator works by reading 1 row of data every second (1 lat/lng point). Here is an example of the first few lines of a file that would work if the points weren't scattered across the US (the SclId is the device name). SclId Latitude Longitude HAT-0 44.968046 -94

问题 I have a question about Python 2.7 read/write csv file with ' utf-8-sig ' code, my csv . header is ['\xef\xbb\xbfID;timestamp;CustomerID;Email'] there have some code( "\xef\xbb\xbfID" ) I read from file A.csv and I want write the same code and header to file B.csv My print log is shows: ['\xef\xbb\xbfID;timestamp;CustomerID;Email'] But the actual output file header it looks like ÔªøID;timestamp Here is the code: def remove_gdpr_info_from_csv(file_path, file_name, temp_folder, original_header)