#๐Ÿ”’ file conversion

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opaque boltBOT
#

@shut comet

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harsh ferry
#

You could probably use pandas to convert it to csv then a module like xlswriter to convert that to xls

shut comet
#

pandas doesnt work for my dta file

harsh ferry
#

Why not?

shut comet
#

i keep getting error messeges

#

ill type it here

harsh ferry
#

easier to copy/paste

#

!paste

opaque boltBOT
#
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shut comet
#

import pandas as pd
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox

def select_dta_file():
""" Opens a dialog for the user to select a DTA file. """
root = tk.Tk()
root.withdraw() # Hide the main window
file_path = filedialog.askopenfilename(title="Select a DTA file", filetypes=[("DTA files", "*.dta")])
if not file_path:
messagebox.showinfo("No file selected", "You did not select any file.")
return None
return file_path

def save_file_path():
""" Opens a save file dialog to specify the name and location of the output XLS file. """
root = tk.Tk()
root.withdraw() # Hide the main window
file_path = filedialog.asksaveasfilename(defaultextension=".xls", filetypes=[("Excel files", "*.xls")])
if not file_path:
messagebox.showinfo("No file selected", "You did not select any file for saving.")
return None
return file_path

def convert_dta_to_xls():
""" Handles the conversion process. """
input_file = select_dta_file()
if input_file:
output_file = save_file_path()
if output_file:
try:
data = pd.read_stata(input_file)
data.to_excel(output_file, index=False)
messagebox.showinfo("Success", "File has been converted and saved successfully.")
except Exception as e:
messagebox.showerror("Error", f"An error occurred: {str(e)}")

if name == "main":
convert_dta_to_xls()

opaque boltBOT
#

Hey @shut comet!

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shut comet
#
import pandas as pd
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox

def select_dta_file():
    """ Opens a dialog for the user to select a DTA file. """
    root = tk.Tk()
    root.withdraw()  # Hide the main window
    file_path = filedialog.askopenfilename(title="Select a DTA file", filetypes=[("DTA files", "*.dta")])
    if not file_path:
        messagebox.showinfo("No file selected", "You did not select any file.")
        return None
    return file_path

def save_file_path():
    """ Opens a save file dialog to specify the name and location of the output XLS file. """
    root = tk.Tk()
    root.withdraw()  # Hide the main window
    file_path = filedialog.asksaveasfilename(defaultextension=".xls", filetypes=[("Excel files", "*.xls")])
    if not file_path:
        messagebox.showinfo("No file selected", "You did not select any file for saving.")
        return None
    return file_path

def convert_dta_to_xls():
    """ Handles the conversion process. """
    input_file = select_dta_file()
    if input_file:
        output_file = save_file_path()
        if output_file:
            try:
                data = pd.read_stata(input_file)
                data.to_excel(output_file, index=False)
                messagebox.showinfo("Success", "File has been converted and saved successfully.")
            except Exception as e:
                messagebox.showerror("Error", f"An error occurred: {str(e)}")

if __name__ == "__main__":
    convert_dta_to_xls()
harsh ferry
#

!pip pyreadstat

opaque boltBOT
#

Reads and Writes SAS, SPSS and Stata files into/from pandas data frames.

Released on <t:1710419029:D>.

harsh ferry
#

You could give that a shot.

#

I'm not really familiar with Stata but I'm assuming .dta is their proprietary format yeah?

shut comet
#

yea

harsh ferry
#

gotta love that

#

pyreadstat looks pretty straightforward though

#

that might work for you

#

I'm not really finding anything else to deal with .dta files in particular (but like I said I'm not really familiar with Stata).

shut comet
#

ill make the changes

opaque boltBOT
#
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