csv

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 Is there any option to load a pickle file in chunks? I know we can save the data in CSV and load it in chunks. But other than CSV, is there any option to load a pickle file or any python native file in chunks? 来源： https://stackoverflow.com/questions/59983073/how-to-load-pickle-file-in-chunks

问题 I have a CSV log file and it contains many rows like this: 2016-06-21 12:00:00,000 : helloworld: header1=2;header2=6;header=0 I want to write them to a new CSV file. public void readLogFile() throws Exception { String currentLine = ""; String nextLine = ""; BufferedReader reader = new BufferedReader(new FileReader(file(false))); while ((currentLine = reader.readLine()) != null) { if (currentLine.contains("2016") == true) { nextLine = reader.readLine(); if (nextLine.contains("helloworld") ==

问题 I have a CSV log file and it contains many rows like this: 2016-06-21 12:00:00,000 : helloworld: header1=2;header2=6;header=0 I want to write them to a new CSV file. public void readLogFile() throws Exception { String currentLine = ""; String nextLine = ""; BufferedReader reader = new BufferedReader(new FileReader(file(false))); while ((currentLine = reader.readLine()) != null) { if (currentLine.contains("2016") == true) { nextLine = reader.readLine(); if (nextLine.contains("helloworld") ==

问题 I have a CSV log file and it contains many rows like this: 2016-06-21 12:00:00,000 : helloworld: header1=2;header2=6;header=0 I want to write them to a new CSV file. public void readLogFile() throws Exception { String currentLine = ""; String nextLine = ""; BufferedReader reader = new BufferedReader(new FileReader(file(false))); while ((currentLine = reader.readLine()) != null) { if (currentLine.contains("2016") == true) { nextLine = reader.readLine(); if (nextLine.contains("helloworld") ==

问题 I have a CSV log file and it contains many rows like this: 2016-06-21 12:00:00,000 : helloworld: header1=2;header2=6;header=0 I want to write them to a new CSV file. public void readLogFile() throws Exception { String currentLine = ""; String nextLine = ""; BufferedReader reader = new BufferedReader(new FileReader(file(false))); while ((currentLine = reader.readLine()) != null) { if (currentLine.contains("2016") == true) { nextLine = reader.readLine(); if (nextLine.contains("helloworld") ==

问题 I have searched several questions around this topic but have not found and answer that made my code work. I'm a beginner so any help is much appreciated. I'm using the jupyter notebook and have the following code: import pandas a = pandas.read_csv("internal_html.csv") a.dropna(axis="columns", how="any") a.head(10) I get no error when running the code, but the columns with NaN values still show up. Thanks! 回答1: You need to reassign the dropna statement back to a. a = a.dropna(axis="columns",

问题 I'm trying to create a dictionary from a CSV file. The first column of the CSV file contains unique code/ keys and since the second column, there are values. Each row of the CSV file represents a unique key. I tried to use the csv.DictReader and csv.DictWriter classes, but I could only figure out how to generate a new dictionary for each row. This is a part of my code: import csv with open('input_experiment.csv', mode='r') as infile: reader = csv.reader(infile) with open('input_experiment.csv