I have a question regarding Kivy listview and Pandas dataframes. Specifically how to list data from .xlsx to listview of kivy and then lets say delete selected entry.This is
You should use Recycleview because Listview has been deprecated since version 1.10.0.
In the example below, we are using a Recycleview with selectable recycle grid layout of buttons. Recycleview supports scrolling up and down. We have binded the button with on_release event. You can also change the button to bind on_press event. Click on any row will invoke the method, delete_row.
Kivy RecycleView Documentation
import pandas
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.recycleview.views import RecycleDataViewBehavior
from kivy.uix.button import Button
from kivy.properties import BooleanProperty, ListProperty, ObjectProperty
from kivy.uix.recyclegridlayout import RecycleGridLayout
from kivy.uix.behaviors import FocusBehavior
from kivy.uix.recycleview.layout import LayoutSelectionBehavior
from kivy.core.window import Window
class SelectableRecycleGridLayout(FocusBehavior, LayoutSelectionBehavior,
RecycleGridLayout):
''' Adds selection and focus behaviour to the view. '''
class SelectableButton(RecycleDataViewBehavior, Button):
''' Add selection support to the Label '''
index = None
selected = BooleanProperty(False)
selectable = BooleanProperty(True)
def refresh_view_attrs(self, rv, index, data):
''' Catch and handle the view changes '''
self.index = index
return super(SelectableButton, self).refresh_view_attrs(
rv, index, data)
def on_touch_down(self, touch):
''' Add selection on touch down '''
if super(SelectableButton, self).on_touch_down(touch):
return True
if self.collide_point(*touch.pos) and self.selectable:
return self.parent.select_with_touch(self.index, touch)
def apply_selection(self, rv, index, is_selected):
''' Respond to the selection of items in the view. '''
self.selected = is_selected
class QuestionDb(BoxLayout):
items_list = ObjectProperty(None)
column_headings = ObjectProperty(None)
rv_data = ListProperty([])
def __init__(self, **kwargs):
super(QuestionDb, self).__init__(**kwargs)
self.get_dataframe()
def get_dataframe(self):
df = pandas.read_excel("items.xlsx")
# Extract and create column headings
for heading in df.columns:
self.column_headings.add_widget(Label(text=heading))
# Extract and create rows
data = []
for row in df.itertuples():
for i in range(1, len(row)):
data.append([row[i], row[0]])
self.rv_data = [{'text': str(x[0]), 'Index': str(x[1]), 'selectable': True} for x in data]
def delete_row(self, instance):
# TODO
print("delete_row:")
print("Button: text={0}, index={1}".format(instance.text, instance.index))
print(self.rv_data[instance.index])
print("Pandas: Index={}".format(self.rv_data[instance.index]['Index']))
class QuestionApp(App):
def build(self):
Window.clearcolor = (1, 1, 1, 1) # white background
return QuestionDb()
if __name__ == "__main__":
QuestionApp().run()
#:kivy 1.10.0
<SelectableButton>:
# Draw a background to indicate selection
canvas.before:
Color:
rgba: (0, 0.517, 0.705, 1) if self.selected else (0, 0.517, 0.705, 1)
Rectangle:
pos: self.pos
size: self.size
background_color: [1, 0, 0, 1] if self.selected else [1, 1, 1, 1] # dark red else dark grey
on_release: app.root.delete_row(self)
<QuestionDb>:
column_headings: column_headings
orientation: "vertical"
Label:
canvas.before:
Color:
rgba: (0, 0, 1, .5) # 50% translucent blue
Rectangle:
pos: self.pos
size: self.size
text: 'Click on any row to delete'
size_hint: 1, 0.1
GridLayout:
canvas.before:
Color:
rgba: (1, 0.2, 0, .5) # 50% translucent orange red
Rectangle:
pos: self.pos
size: self.size
id: column_headings
size_hint: 1, None
size_hint_y: None
height: 25
cols: 3
BoxLayout:
canvas.before:
Color:
rgba: (.0, 0.9, .1, .3)
Rectangle:
pos: self.pos
size: self.size
RecycleView:
viewclass: 'SelectableButton'
data: root.rv_data
SelectableRecycleGridLayout:
cols: 3
key_selection: 'selectable'
default_size: None, dp(26)
default_size_hint: 1, None
size_hint_y: None
height: self.minimum_height
multiselect: True
touch_multiselect: True