chunks

I want to read the file f in chunks to a dataframe. Here is part of a code that I used. for i in range(0, maxline, chunksize): df = pandas.read_csv(f,sep=',', nrows=chunksize, skiprows=i) df.to_sql(member, engine, if_exists='append',index= False, index_label=None, chunksize=chunksize) I get the error: pandas.io.common.EmptyDataError: No columns to parse from file The code works only when the chunksize >= maxline (which is total lines in file f). However, in my case, the chunksize<=maxline. Please advise the fix. jezrael I think it is better to use the parameter chunksize in read_csv . Also,

I have seen some of the scripts which are either dealing with archive or binary data or copy files (not using python default functions) use chunk or block or offset or buffer or sector . I have created a Python application and few of the requirements have been met by external libraries (archival / extracting data) or binaries. I would like to dive deeper now to get those third party library features into my application by writing a module of my own. Now I would like to know what those terms mean and where I can get started. Is there any documentation for the subject above? Any documentation

I am trying to implement ng-flow https://github.com/flowjs/ng-flow for file upload. It upload files in chunk, I successfully set this on client but I am not sure how to handle file on backend inside web api method. public void Upload() { //how to handle file? } The request contain the following information Here's the ASP.NET Web API controller that I've come up with to save the chunks and assemble them. using System; using System.Diagnostics; using System.Collections.Generic; using System.Linq; using System.Threading.Tasks; using System.Net; using System.Net.Http; using System.IO; using System

This is more of a question on understanding than programming. I am quite new to Pandas and SQL. I am using pandas to read data from SQL with some specific chunksize. When I run a sql query e.g. import pandas as pd df = pd.read_sql_query('select name, birthdate from table1', chunksize = 1000) What I do not understand is when I do not give a chunksize, data is stored in the memory and I can see the memory growing however, when I give a chunksize the memory usage is not that high. I have is that this df now contains a number of arrays which I can access as for df_array in df: print df.head(5)