Compile error "Can not find Project and Library" , Runpython works well on my device but error returned on co-worker's devices

[Dulaclyon]

OS (Windows 11 Pro Operating system)
xlwings version: 0.30.13, Excel and Python (Office 365 for Enterprise, Python 3.12.1)

Describe your issue (incl. Traceback!)

I have frozen the python script using "pyinstaller", and the purpose of this is to make each and every colleague has a way to run python code on their own device. Then, I referenced the ".exe" file in my "xlsm" workbbok using "RunFrozenPython" in VBA, the entire folder is in Sharepoint, and the issue is: whenever I run it on my computer, the dashboard get immediate update, but when my colleague clicks the "refresh" button I created using Macro, an error message always pops up as follow. Am I missing any step? do I need to configure the computer of all my colleagues? thank you very much.

#### Include a minimal code sample to reproduce the issue (and attach a sample workbook if required!)

```python

`import pandas as pd
import xlwings as xw 
import matplotlib.pyplot as plt
import numpy as np 


def main():
    pp_old_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\Price Report - PP-OLD.xlsx"
    pp_new_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\Price Report - PP-NEW.xlsx"
    sp_new_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\Price Report - SP-NEW.xlsx"
    sp_old_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\Price Report - SP-OLD.xlsx"
    budget_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\budget.xlsx"
    db_path = r"C:\Users\rren\MES\Accounting Department - Documents\Ryan Ren - Financial & SCM Analysis_Ryan\55. Price Adjustment Analysis - Last price\Price Adjustment Analysis.xlsm"

    budget = pd.read_excel(budget_path)
    budget["Customer Name"].replace("Jabil", "JABIL", inplace=True)
    pp_new = pd.read_excel(pp_new_path, index_col=0)
    pp_old = pd.read_excel(pp_old_path, index_col=0)
    sp_new = pd.read_excel(sp_new_path, index_col=0)
    sp_old = pd.read_excel(sp_old_path,index_col=0)

    budget_customer = budget[["Item No.", "Customer Name"]].drop_duplicates()
    budget1 = pd.DataFrame(budget.groupby(["Item No."])["Final Annual Qty"].mean())
    budget1.reset_index(inplace=True)
    budget2 = budget1.merge(budget_customer, on="Item No.", how= "left")

    # Convert price string to price numeric and dynmaic change the name of the header for sp_new
    sp_new = sp_new[["Item No.", "Primary Currency - Price", "Source of Price"]]
    sp_new.loc[:,"Primary Currency - Price"] = sp_new["Primary Currency - Price"].str.replace("$"," ")
    sp_new.loc[:, "Primary Currency - Price"] = sp_new["Primary Currency - Price"].str.replace("EURO", " ")
    sp_new.loc[:,'Primary Currency - Price'] = sp_new['Primary Currency - Price'].str.replace(',', '')
    sp_new["Primary Currency - Price"] = pd.to_numeric(sp_new["Primary Currency - Price"])

    mapper1 = {"Primary Currency - Price": sp_new["Source of Price"][1]}
    sp_new.rename(columns=mapper1, inplace=True)
    sp_new = sp_new.drop(columns=["Source of Price"])

    # Convert price string to price numeric and dynmaic change the name of the header for sp_old
    sp_old = sp_old[["Item No.", "Primary Currency - Price","Source of Price"]]
    sp_old.loc[:,"Primary Currency - Price"] = sp_old["Primary Currency - Price"].str.replace("$"," ")
    sp_old.loc[:,'Primary Currency - Price'] = sp_old['Primary Currency - Price'].str.replace(',', '')
    sp_old["Primary Currency - Price"] = pd.to_numeric(sp_old["Primary Currency - Price"])

    mapper2 = {"Primary Currency - Price": sp_old["Source of Price"][1]}
    sp_old.rename(columns=mapper2,inplace=True)
    sp_old = sp_old.drop(columns=["Source of Price"])

    # Convert price string to price numeric and dynmaic change the name of the header for pp_new
    pp_new = pp_new[["Item No.", "Primary Currency - Price","Source of Price"]]
    pp_new.loc[:,"Primary Currency - Price"] = pp_new["Primary Currency - Price"].str.replace("$"," ")
    pp_new.loc[:, "Primary Currency - Price"] = pp_new["Primary Currency - Price"].str.replace("USD", " ")
    pp_new.loc[:,'Primary Currency - Price'] = pp_new['Primary Currency - Price'].str.replace(',', '')
    pp_new["Primary Currency - Price"] = pd.to_numeric(pp_new["Primary Currency - Price"])

    mapper3 = {"Primary Currency - Price": pp_new["Source of Price"][1]}
    pp_new.rename(columns=mapper3,inplace=True)
    pp_new = pp_new.drop(columns=["Source of Price"])

    # Convert price string to price numeric and dynmaic change the name of the header for pp_old

    pp_old = pp_old[["Item No.", "Primary Currency - Price","Source of Price"]]
    pp_old.loc[:,"Primary Currency - Price"] = pp_old["Primary Currency - Price"].str.replace("$"," ")
    pp_old.loc[:,'Primary Currency - Price'] = pp_old['Primary Currency - Price'].str.replace(',', '')
    pp_old["Primary Currency - Price"] = pd.to_numeric(pp_old["Primary Currency - Price"])

    mapper4 = {"Primary Currency - Price": pp_old["Source of Price"][1]}
    pp_old.rename(columns=mapper4,inplace=True)
    pp_old = pp_old.drop(columns=["Source of Price"])

    budget3 = budget2.merge(pp_old, on="Item No.", how="left").merge(pp_new, on="Item No.", how="left").merge(sp_old,on="Item No.", how="left").merge(sp_new, on="Item No.", how="left")

    pp_header1 = budget3.columns[3]
    pp_header2 = budget3.columns[4]
    pp_header3 = budget3.columns[5]
    pp_header4 = budget3.columns[6]
    budget3["Var. PP"] = budget3[pp_header1] - budget3[pp_header2]
    budget3["Var. SP"] = budget3[pp_header4] - budget3[pp_header3]
    budget3["Savings for MES - PP"] = budget3["Final Annual Qty"] * budget3["Var. PP"]
    budget3["Savings for MES - SP"] = budget3["Final Annual Qty"] * budget3["Var. SP"]
    budget3["Sub Total"] = budget3["Savings for MES - PP"] + budget3["Savings for MES - SP"]

    budget4 = budget3.groupby(["Customer Name","Item No."])[["Savings for MES - PP", "Savings for MES - SP", "Sub Total"]].sum().sort_values("Savings for MES - SP")

    budget5 = budget4[(budget4["Savings for MES - PP"]!=0) | (budget4["Savings for MES - SP"]!=0) ]

    budget6 = budget5.reset_index()

    wb = xw.Book(db_path)
    sheet1 = wb.sheets("Detailed Analysis")
    cust_filter = sheet1.range("C5").value

    budget7 = budget6[budget6["Customer Name"] == cust_filter]

    budget8 = budget7[(budget7["Savings for MES - PP"] != 0) | (budget7["Savings for MES - SP"]!= 0)]

    budget9 = budget8.drop(columns=["Customer Name"]).sort_values("Sub Total")

    sheet1.range("A8:E200").clear_contents()
    sheet1.range("F8:J200").clear_contents()

    top10_pp = budget9["Savings for MES - PP"].sort_values().head(10)
    top10_sp = budget9["Savings for MES - SP"].sort_values().head(10)
    top10_SubTtoal = budget9["Savings for MES - PP"].sort_values().head(10)

    if budget9["Item No."].count() == 0:
        sheet1.range("c8").value = "There is no price adjustment for the selected cusomter"
        sheet1.range("h8").value = "There is no price adjustment for the selected cusomter"

        for shape in sheet1.shapes:
            if shape.left == sheet1.range("L1").left and shape.top == sheet1.range("L1").top:
                shape.delete()

    elif budget9["Item No."].count() <= 20:
        sheet1.range("A8").value = budget9
        sheet1.range("H8").value = "All records have been displayed in the chart on left"

        fig = plt.figure(figsize=(20,8))
        plt.suptitle(f"Detailed analysis for {cust_filter}")
        plt.style.use("seaborn-v0_8")

        plt.subplot(3,1,1)
        plt.title("Savings for MES - PP")
        plt.bar(budget9["Item No."][:10], top10_pp, color="#4682B4")

        plt.subplot(3,1,2)
        plt.title("Savings for MES - PP")
        plt.bar(budget9["Item No."][:10], top10_sp, color="#F4A460")

        plt.subplot(3,1,3)
        plt.title("Savings for MES - PP")
        plt.bar(budget9["Item No."][:10], top10_SubTtoal, color="#ffb3b3")

        plt.tight_layout()

        # delete existing shape
        for shape in sheet1.shapes:
            if shape.left == sheet1.range("L2").left and shape.top == sheet1.range("L2").top:
                shape.delete()
        # write new shape
        plot = sheet1.pictures.add(fig)
        plot.left = sheet1.range("L1").left
        plot.top = sheet1.range("L1").top


    else:
        sheet1.range("A8").value = budget9.head(20)
        sheet1.range("F8").value = budget9.tail(20)

        fig = plt.figure(figsize=(20,10))
        plt.suptitle(f"Detailed analysis for {cust_filter}")
        plt.style.use("fivethirtyeight")

        plt.subplot(3,1,1)
        plt.title("Savings for MES - PP", pad=2)
        plt.bar(budget9["Item No."][:10], top10_pp, color="#4682B4")

        plt.subplot(3,1,2)
        plt.title("Savings for MES - PP",pad=2)
        plt.bar(budget9["Item No."][:10], top10_sp, color="#F4A460")

        plt.subplot(3,1,3)
        plt.title("Savings for MES - PP", pad=0.01)
        plt.bar(budget9["Item No."][:10], top10_SubTtoal, color="#ffb3b3")

        plt.tight_layout()

        for shape in sheet1.shapes:
            if shape.left == sheet1.range("L1").left and shape.top == sheet1.range("L1").top:
                shape.delete()

        plot = sheet1.pictures.add(fig)
        plot.left = sheet1.range("M1").left
        plot.top = sheet1.range("M1").top

        plt.subplots_adjust(top=0.85)

    # Write the entire data into the workbook
    sheet1.range("A35:L400").clear_contents()
    sheet1.range("A35").value = budget3[(budget3["Customer Name"]==cust_filter) & ((budget3["Savings for MES - PP"] != 0) | (budget3["Savings for MES - SP"] != 0))].drop(columns=["Customer Name"])

if __name__ == '__main__':
    main()`

```VBA 


![image](https://github.com/xlwings/xlwings/assets/141468315/727d6ea2-70ff-4240-9b08-d5f28f77bc9e)

```Error message returned from co-worker's computer: 

![image](https://github.com/xlwings/xlwings/assets/141468315/cce60e43-b08c-40d0-9b9d-719c812acc38)