csv

问题 I'm trying to load data from a CSV using MySQL, but I'm getting Error code 29 (file not found). I'm using mac osx, but when I run the following query LOAD DATA INFILE '/workspace/SQL_Test/src/values.csv' INTO TABLE queryid_vs_column COLUMNS TERMINATED BY ',' MySQL tries to look in 'C:/workspace/SQL_Test/src/values.csv'. I haven't found anyone else with similar issues, has anyone encountered something like this? I'm not sure why MySQL thinks I'm running a windows machine. Thanks. 回答1: If you

问题 I'm trying to load data from a CSV using MySQL, but I'm getting Error code 29 (file not found). I'm using mac osx, but when I run the following query LOAD DATA INFILE '/workspace/SQL_Test/src/values.csv' INTO TABLE queryid_vs_column COLUMNS TERMINATED BY ',' MySQL tries to look in 'C:/workspace/SQL_Test/src/values.csv'. I haven't found anyone else with similar issues, has anyone encountered something like this? I'm not sure why MySQL thinks I'm running a windows machine. Thanks. 回答1: If you

问题 I'm following this data cleaning instruction, but as of this line ( also shown below ), I get the following error: Error: Problem with mutate() input l5cathol . Am I missing something? library(tidyverse) library(haven) library(sjmisc) library(googledrive) googledrive::drive_download('https://drive.google.com/file/d/124WOY4iBXxv_9eBXsoHJVUzX98x2sxYy/view?usp=sharing','test.por',overwrite=T) dta <- haven::read_por('test.por') names(dta) <- tolower(names(dta)) # Convert variables of interest to

问题 I have an .xlsx file like this: sample.xlsx: Heading C1 C2,01,02 C3 C4 R1 1 4 7 10 R2 2 5 8 11,1 R3 3 6 9,0 12 I want to convert sample.xlsx file into Output.csv file [pipe separated]. Please note that I don't want any double quotes "C2,01,02". Output.csv: Heading|C1|C2,01,02|C3|C4 R1|1|4|7|10 R2|2|5|8|11,1 R3|3|6|9,0|12 I know how to produce Output.csv using manual steps like this: Goto control panel -> Region and Language -> Additional Settings -> update list separator field with pipe "|".

问题 I have an .xlsx file like this: sample.xlsx: Heading C1 C2,01,02 C3 C4 R1 1 4 7 10 R2 2 5 8 11,1 R3 3 6 9,0 12 I want to convert sample.xlsx file into Output.csv file [pipe separated]. Please note that I don't want any double quotes "C2,01,02". Output.csv: Heading|C1|C2,01,02|C3|C4 R1|1|4|7|10 R2|2|5|8|11,1 R3|3|6|9,0|12 I know how to produce Output.csv using manual steps like this: Goto control panel -> Region and Language -> Additional Settings -> update list separator field with pipe "|".

问题 From the docs I know that in order to save as a .csv file one can simply do: df.to_csv(sep = ';') However, I would like to use my custom separator, for instance: ::: . How can I set ::: as a separator?. I tried to: df.to_csv(sep = ':::') And got: TypeError: "delimiter" must be a 1-character string Also I tried to: df.to_csv('../data.csv', sep='\s*\:::', index=False) , and got the same result. Thus, How can I set my own separator?. UPDATE Since I have in my dataframe | , I can not use such

问题 From the docs I know that in order to save as a .csv file one can simply do: df.to_csv(sep = ';') However, I would like to use my custom separator, for instance: ::: . How can I set ::: as a separator?. I tried to: df.to_csv(sep = ':::') And got: TypeError: "delimiter" must be a 1-character string Also I tried to: df.to_csv('../data.csv', sep='\s*\:::', index=False) , and got the same result. Thus, How can I set my own separator?. UPDATE Since I have in my dataframe | , I can not use such

问题 In MySQL I have set my data field type to utf8_bin and i am storing data in Unicode. Texts are being properly displayed in web pages. I want to generate excel file exporting data from my table to it. The output in .xls and .cvs is - '????'. I checkout out other answers here, its been referred to use headers: header("content-type:application/csv;charset=UTF-8"); similar question. But its not working. After using header, in csv Output is - सूरà¥à¤¯à¤¾. Please help. Thanks. 回答1: This post

问题 I have a large sql file (20 GB) that I would like to convert into csv. I plan to load the file into Stata for analysis. I have enough ram to load the entire file (my computer has 32GB in RAM) Problem is: the solutions I found online with Python so far (sqlite3) seem to require more RAM than my current system has to: read the SQL write the csv Here is the code import sqlite3 import pandas as pd con=sqlite3.connect('mydata.sql') query='select * from mydata' data=pd.read_sql(query,con) data.to

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 13 days ago . Improve this question This question does not link with any question and does not have any answer to the problem I need help to add new column in index (0) and field names to all csv files in directories and sub-directories. I have csv files like this apple chocolate smoothies