![]() Once any row of the Treeview is selected by user, the function data_collect() is triggered. Trv.bind(">", data_collect)# Triggers on selection of row data_collect() Trv=ttk.Treeview(my_w,selectmode='browse',height=10, R_set=df2.to_numpy().tolist() # create list of list using rows The last line of the code below binds the row selection to trigger the funtion data_collect().Ĭalling this function will refresh the Treeview trv to reflect the changes in DataFrame df2.ĭef trv_refresh(): # Refresh the Treeview to reflect changes Here the header list l1 is taken from the source DataFrame df. Rows of data from DataFrame df2 is used to display the Treeview. Trv_refresh() # Show the DataFrame in Treeview trv_refresh() L2.config(text='No of records: '+str(len(df2))) #df2=df2.append(df,ignore_index=True)ĭf2=pd.concat(])ĭf2=df2.drop_duplicates() # remove duplicate rows Words=list(set(words)-set(words_stop)) # final list of words to search Words_stop= # List of words to be removed from searching Words=query.split(' ') # List of words by breaking a string. L1=list(df) # List of column names as header The last line of the function below calls trv_refresh() to show the Treeview.ĭef my_search(*args): # Searching source dataframe and create filtered oneĭf2 = df.iloc # create dataframe of same structure or columns From Part I the Treeview creation part is taken into separate function trv_refresh() as Treeview is to be updated to reflect the changes done by the user while selecting and deleting row. This function already explained in Part I, this creates the resultant DataFrame df2 based on the user inputs. My_delete() : Delete the selected row of the Treeview trv My_copy() : Copy the resultant DataFrame df2 to Clipboard. My_save() : Save the resultant DataFrame df2 in different file formats. Trv_refresh() : Creating Treeview by using DataFrame df2 and header by l1ĭata_collect() : Collect the Treeview selected row details. ![]() My_search() : Searching souce DataFrame and creating output DataFrame as df2. Here is a list of functions we will be using. L1 : List of Column headers taken from source DataFrame df global df2,trv,l1 Trv : Treeview created to display the DataFrame We will use global variables as we will be changing the values inside different functions.ĭf2: Filtered or the result output DataFrame after applying query to the source DataFrame df. 元.config(text=trv.item(p_id)) # Update the Label with values #print(trv.item(p_id)) # Dictionary of all options P_id = trv.selection() # collect selected row id By using config() we are updating the text option of the Label l3 to show the values of the selected row. Inside the function data_collect() we will read the user selected row values. Once a row in Treeview is selected, we can trigger the function data_collect() trv.bind(">", data_collect) Read Part 1 on how to filter datafrme based on user inputs → In part 1 of DataFrame search, we crated the filtered output and displayed the same in Treeiew trv. To generate DataFrame df2 from the source DataFrame df we have used the function my_search(). Print( and deleting row from DataFrame and showing result in Treeview Part V Self.process_directory(iid, abspath, depth-1)Īpp = DirectoryBrowser(root, path=mypath) Iid = (parent, index, **kwargs)ĭef process_directory(self, parent, path, depth=3): # returns a list of children belonging to last iidĭef insert(self, parent, index, path, name="", **kwargs): Self.pack(side=tk.TOP, fill=tk.BOTH, expand=tk.Y) ![]() Xsb.grid(in_=self, row=1, column=0, sticky="ew") Ysb.grid(in_=self, row=0, column=1, sticky="ns") # fill treeview with root dir and the subdirs Xsb = ttk.Scrollbar(self, orient='horizontal', command=) Ysb = ttk.Scrollbar(self, orient='vertical', command=) Messagebox.showinfo(title = "Email Update", message = "Error sending email") Messagebox.showinfo(title = "Email Update", message = "Email Sent") ![]() # Writing the message (this message will appear in the email) so how do i select and send the selected items? the code below prints (I001) inside the email. The contents of the message is from a sql querry placed inside a ttk treeview widget.
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