![]() Words=query.split(' ') # List of words by breaking a string. (remove the negative words from the list if required. Searching multiple words in DataFrame and display results in Treeview Part IIIīreak the input string using split() and one list is created with each words. My_w.mainloop() Without using search button ![]() Trv.insert("", "end", iid=v, values=v) # adding row R_set = df2.to_numpy().tolist() # Create list of list using rows Trv.insert("", "end", iid=v, values=v) # adding row Full code : Copy to clipboard import pandas as pdĭf = pd.read_excel("F:\\data\\student.xlsx") # create DataFrame Using this we will insert each row to our Treeview trv. ![]() Trv.heading(i, text=i) Inserting data rows to Treeviewįrom our resulted DataFrame we have collected the list of rows as r_set. We will first display the headers by looping through the list l1.ĭynamic Creation of Header & Columns in Treeview » trv = l1 Previously we have collected all column headers as a list l1 from the source dataframe df. Trv = 10 # Number of rows to display, default is 10 Trv = ttk.Treeview(my_w, selectmode="browse") # selectmode="browse" or "extended" Here the final output of the query or the resulted dataframe is displayed using the Treeview. Inside the function my_search() we will use Tkinter Treeview to display Tabular data. R_set = df2.to_numpy().tolist() # Create list of list using rows Creating Treeview Str1 = df.(query, case=False) # name column value matchingĭf2 = df # combine all conditions using | operator Query = e1.get().strip() # get user entered string L1 = list(df) # List of column names as headers We used tolist() to create a list from the DataFrame If the user input is not a digit then we will use string method contains() to match against the name column of the source DataFrame df. We will read the user inputs in entry widget e1 and then remove the space from both sides by using strip(). L1.grid(row=1, column=1, padx=3, pady=10)Į1 = tk.Entry(my_w, width=35, bg="yellow", font=18) # added one Entry boxī1 = tk.Button(my_w, text="Search", width=7, font=18, command=lambda: my_search())įirst we will create a list of column names or headers from the main dataframe df. L1 = tk.Label(my_w, text="Search", width=5, font=18) # added one Label My_w.geometry("500x350") # width x height We will keep one entry widget e1 to collect the user input and on click of the Button b1 we will call the function my_search(). Updatebtn = tk.Tkinter interface to search and filter Pandas DataFrame and display rows in Treeview Lbl7 = tk.Label(wrapper3, text="Column11:",Įnt7 = tk.Entry(wrapper3, textvariable=t6, Lbl6 = tk.Label(wrapper3, text="Column9:",Įnt6 = tk.Entry(wrapper3, textvariable=t5) Lbl5 = tk.Label(wrapper3, text="Column8:",Įnt5 = tk.Entry(wrapper3, textvariable=t4) ![]() Lbl4 = tk.Label(wrapper3, text="Column7:",Įnt4 = tk.Entry(wrapper3, textvariable=t3) Lbl3 = tk.Label(wrapper3, text="Column6:",Įnt3 = tk.Entry(wrapper3, textvariable=t7) Lbl2 = tk.Label(wrapper3, text="Column5:",Įnt2 = tk.Entry(wrapper3, textvariable=t2) Loop that showup in popup from the amount of rowsĮnt1 = tk.Entry(wrapper3, textvariable=t1) # These are the widgets I want to put in a If messagebox.askyesno("Confirm Please", "Are you # Get TreeView Row Information and puts in Tk entries Any tips on how to turn this into a for loop in a popup window would be greatly appreciated! class AllPage(tk.Frame): Shown below are my functions and widgets for the single-line update. I know I would bind this to treeview selections, but I'm having a hard time figuring out the logic for creating widgets in a popup window based on the number of rows selected. I would like to create a popup window from treeview when multiple rows are selected. ![]() I've created an Inventory App for my work that has an update section on the frame, but only works for one line at a time. ![]()
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