I get ValueError: cannot convert float NaN to integer for following: df = pandas.read_csv('zoom11.csv') df[['x']] = df[['x']].astype(int) The "x" is a column i
So I'm trying to read in this dataset from Kaggle. https://www.kaggle.com/gmadevs/atp-matches-dataset#atp_matches_2016.csv I'm using pandas' read_csv functio
So I'm trying to read in this dataset from Kaggle. https://www.kaggle.com/gmadevs/atp-matches-dataset#atp_matches_2016.csv I'm using pandas' read_csv functio
#gets rid of spaces in existing csv headers def getColumns(readCSV): return [column.replace(' ','') for column in next(readCSV)] #insert format used to
my input xml: <Root> <Element> <Record att="a">value</Record> <Record att="b">value</Record>
I would like to query (SQL with joins) CSV files sitting in a network folder for performing data analysis work. I'm not allowed to move the files out of the net
I'm using Sklearn as a machine learning tool, but every time I run my code, it gives this error: Traceback (most recent call last): File "C:\Users\FakeUserMad
I am new to Python, I am trying to read csv file using below script. Past=pd.read_csv("C:/Users/Admin/Desktop/Python/Past.csv",encoding='utf-8') But, getting
I am downloading a 78MB zip file from the UN FAO, which contains a 2.66GB csv. I am able to unzip the the downloaded file from a folder using winzip, but have b
I am trying to add a glossary by CSV. I put the CSV on my google storage. I got this Error: google.api_core.exceptions.InvalidArgument: 400 Failed to parse cont
I want to copy the data from CSV file to SQLite file for my android application.SQLite table structure i.e. the columns are different than the CSV file columns.
Good day all so I was trying to filter file2 based on file1, where file1 is a subset from file2. But file2 has a description column that I need to be able to an
So I'm attempting to take a sheet from a Google Spreadsheet and save it as a .CSV file just like you can manually do. It is working fairly well, but I've ran in
I have a page that has a form that generates a query that renders relevant information from my database: Render Example The controller function I use creates th
I am receiving a CSV file, and in that file I need to Hex Encode one column, and MD5 Hash another column. Final Outcome I am looking for is to take an incomin
I am trying to use the write.table() function, within Shiny downloadHandler(), to download the df reactive dataframe as a .csv file, per the reproducible code a
I have a 100M line csv file (actually many separate csv files) totaling 84GB. I need to convert it to a HDF5 file with a single float dataset. I used h5py in te
I am trying to read a large csv file (aprox. 6 GB) in pandas and i am getting a memory error: MemoryError Traceback (most recent
I have been looking for this solution but can't seem to find it . Does chart.js support this ? I have attempted to parse in the data with papaparse, but due to
I get a csv file like : attrib1_x , attrib1_y , attrib1_z_0_p , attrib1_z_0_c , attrib1_z_1_p , attrib1_z_1_c , attrib2_R , attrib2_K , attrib3 1 , 2 , 100 , 20