csv

问题 I have CSV files that have # in the header line: s = '#one two three\n1 2 3' If I use pd.read_csv the # sign gets into the first header: import pandas as pd from io import StringIO pd.read_csv(StringIO(s), delim_whitespace=True) #one two three 0 1 2 3 If I set the argument comment='#' , then pandas ignores the line completely. Is there an easy way to handle this case? Second issue, related, is how can I handle quoting in this case, it works with no # : s = '"one one" two three\n1 2 3' print

问题 I have CSV files that have # in the header line: s = '#one two three\n1 2 3' If I use pd.read_csv the # sign gets into the first header: import pandas as pd from io import StringIO pd.read_csv(StringIO(s), delim_whitespace=True) #one two three 0 1 2 3 If I set the argument comment='#' , then pandas ignores the line completely. Is there an easy way to handle this case? Second issue, related, is how can I handle quoting in this case, it works with no # : s = '"one one" two three\n1 2 3' print

问题 How can I plot (a 3D plot) a matrix in Gnuplot having such data structure. I cannot find a way to use the first row and column as a x and y ticks (or to ignore them) ,5,6,7,8 1,-6.20,-6.35,-6.59,-6.02 2,-6.39,-6.52,-6.31,-6.00 3,-6.36,-6.48,-6.15,-5.90 4,-5.79,-5.91,-5.87,-5.46 Is the splot 'data.csv' matrix the correct parameter to use ? 回答1: You can give using a format specification; here we need to tell the seperator ','. The following works for me: splot 'data.csv' using 1:2:3 '%lf,%lf,

问题 I'm trying to attach CSV files to a Rails3 model using paperclip 4.1.1, but I'm having trouble getting the content-type as reported by S3 to be text/csv (instead I am getting text/plain ). When I subsequently download the file from S3, the extension is getting changed to match the content-type instead of preserving the original extension (so test.csv is downloaded as test.txt). From what I can see, when you upload a file, the FileAdapter will cache the content-type on creation with whatever

问题 I am stuck with an issue where I need to export data to a .csv file, but not store the file in file system - instead I need to simply open the file in browser. I have written the below code to write data to .csv file: FileWriter myWriter = new FileWriter("output.csv"); myWriter.append(EmployeeCode); myWriter.append(','); myWriter.append(Band); myWriter.append('\n'); response.setHeader("Content-Disposition", "attachment; filename=output.csv"); response.setContentType("application/ms-excel");

问题 I want to reshape some data in a CSV file without header but I keep getting this error AttributeError: 'DataFrame' object has no attribute 'reshape' This is my script, I want to reshape the data in 2nd column only import pandas as pd df = pd.read_csv("test.csv", header=None, usecols=[1]) start = 0 for i in range(0, len(df.index)): if (i + 1)%10 == 0: result = df.iloc[start:i+1].reshape(2,5) start = i + 1 print result Here is the CSV 1,52.1 2,32.2 3,44.6 3,99.1 5,12.3 3,43.2 7,79.4 8,45.5 9,56

问题 I want to reshape some data in a CSV file without header but I keep getting this error AttributeError: 'DataFrame' object has no attribute 'reshape' This is my script, I want to reshape the data in 2nd column only import pandas as pd df = pd.read_csv("test.csv", header=None, usecols=[1]) start = 0 for i in range(0, len(df.index)): if (i + 1)%10 == 0: result = df.iloc[start:i+1].reshape(2,5) start = i + 1 print result Here is the CSV 1,52.1 2,32.2 3,44.6 3,99.1 5,12.3 3,43.2 7,79.4 8,45.5 9,56

问题 Suppose I have a text file with records of the following form, where the FS is generally speaking a comma, and the RS is generally speaking a newline. However, the exception to this rule is that if a field is in quotes, it should treat the line breaks and commas as part of the field. "This field contains line breaks and is quoted but it should be treated as a single field",1,2,3,"another field" How can I use awk to parse such a file correctly, where I can still access $1,$2... , as I usually

问题 Suppose I have a text file with records of the following form, where the FS is generally speaking a comma, and the RS is generally speaking a newline. However, the exception to this rule is that if a field is in quotes, it should treat the line breaks and commas as part of the field. "This field contains line breaks and is quoted but it should be treated as a single field",1,2,3,"another field" How can I use awk to parse such a file correctly, where I can still access $1,$2... , as I usually

问题 I have a Python script and pandas to combine multiple ZIP files. I am using data hosted in a GitHub repository here: https://github.com/statistikat/coronaDAT The script should take all ZIP files in a folder structure, find the "Bezirke.csv" file in the ZIP file, and combine all the Bezirke.csv files into one large CSV file. However, the code is only grabbing one ZIP file from the folder. Any suggestions on why the it is not taking the data from the other ZIP files in the folder? import glob