Adding a path to pandas to_csv function
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I have a small chunk of code using Pandas that reads an incoming CSV, performs some simple computations, adds a column, and then turns the dataframe into a CSV using to_csv.
I was running it all in a Jupyter notebook and it worked great, the output csv file would be there right in the directory when I ran it. I have now changed my code to be run from the command line, and when I run it, I don't see the output CSV files anywhere. The way that I did this was saving the file as a .py, saving it into a folder right on my desktop, and putting the incoming csv in the same folder.
From similar questions on stackoverflow I am gathering that right before I use to_csv at the end of my code I might need to add the path into that line as a variable, such as this.
path = 'C:\Users\ab\Desktop\conversion' final2.to_csv(path, 'Combined Book.csv', index=False)
However after adding this, I am still not seeing this output CSV file in the directory anywhere after running my pretty simple .py code from the command line.
Does anyone have any guidance? Let me know what other information I could add for clarity. I don't think sample code of the pandas computations is necessary, it is as simple as adding a column with data based on one of my incoming columns.
Join the path and the filename together and pass that to
import os path = 'C:\Users\ab\Desktop\conversion' output_file = os.path.join(path,'Combined Book.csv') final2.to_csv(output_file, index=False)
pandas.DataFrame.to_csv, File path or object, if None is provided the result is returned as a string. If a file If you have set a float_format then floats are converted to strings and thus csv. Defaults to csv.QUOTE_MINIMAL. If you have set a float_format then floats are converted to strings and thus csv.QUOTE_NONNUMERIC will treat them as non-numeric. quotechar str, default ‘”’ String of length 1. Character used to quote fields. line_terminator str, optional. The newline character or character sequence to use in the output file.
I think below is what you are looking for , absolute path
import pandas as pd ..... final2.to_csv('C:\Users\ab\Desktop\conversion\Combined Book.csv', index=False)
OR for an example:
path_to_file = "C:\Users\ab\Desktop\conversion\Combined Book.csv" final2.to_csv(path_to_file, encoding="utf-8")
pandas.DataFrame.to_csv, Enter search terms or a module, class or function name. pandas.DataFrame.to_csv¶. DataFrame. to_csv (path_or_buf=None, sep=', ', na_rep='', float_format=None, File path or object, if None is provided the result is returned as a string. If you have set a float_format then floats are converted to strings and thus csv. The first argument you pass into the function is the file name you want to write the .csv file to. In the screenshot below we call this file “whatever_name_you_want.csv”. DataFrame.to_csv() There are many useful features to the to_csv() function including the ability to encoding and the option to add or remove the detault DataFrame index.
Im pretty sure that you have mixed up the arguments, as shown here. The path should include the filename in it.
path = 'C:\Users\ab\Desktop\conversion\Combined_Book.csv' final2.to_csv(path, index=False)
Otherwise you are trying to overwrite the whole folder 'conversions' and add a complicated value separator.
pandas.DataFrame.to_csv, Enter search terms or a module, class or function name. pandas.DataFrame.to_csv¶. DataFrame. to_csv (path_or_buf=None, sep=', ', na_rep='', float_format=None, File path or object, if None is provided the result is returned as a string. If a file If you have set a float_format then floats are converted to strings and thus csv. Pandas DataFrame to_csv() function exports the DataFrame to CSV format. If a file argument is provided, the output will be the CSV file. Otherwise, the return value is a CSV format like string. Here are some options: path_or_buf: A string path to the file or a StringIO
pandas.DataFrame.to_csv, 0: Was previously named “path” for Series. sep : str, default ','. String of length 1. Field delimiter for the output file. You can specify a python write mode in the pandas to_csv function. For append it is 'a'. In your case: The default mode is 'w'. I want to know if it is possible to use the pandas to_csv() function to add a dataframe to an existing csv file. The csv file has the same structure as the loaded data.
How to Export Pandas DataFrame to a CSV File, You can use the following template in Python in order to export your pandas DataFrame to a CSV file: df.to_csv(r'Path where you want to store This boils down to a simpler problem here I have a pandas dataframe that looks like this: In : df Out: 0 1 0 a A B C 1 a D E F 2 b A B C When I write it to a csv file
How to Export Pandas DataFrame to CSV, Pandas DataFrame to_csv() function exports the DataFrame to CSV format. If a file path_or_buf: A string path to the file or a StringIO Pandas is one of the most popular Python libraries for Data Science and Analytics. I like to say it’s the “SQL of Python.” Because pandas helps you to manage two-dimensional data tables in Python. Of course, it has many more features. In this pandas tutorial series, I’ll show you the most important (that is, the most often used) things
- @ Warthog1, what is the purpose of adding a path , does it referring to
- How exactly do you run your script?
- are you looking for something `
final2.to_csv('C:\Users\ab\Desktop\conversion\Combined Book.csv', index=False)
- The path is the desired output folder, which is the folder that my .py and csv file are in. I want to add the path because right now the code doesn't output any CSV files, let alone into the desired folder. From research it looks like adding a path would remove that problem
- @ w-m I am running it from the command line by calling convertbook.py and it executes without error