kururu-abdo

@override
Path getClip(Size size) {
  
  double radius = 50;
  
  Path path = Path()
    ..lineTo(size.width - radius, 0)
    ..arcTo(
        Rect.fromPoints(
            Offset(size.width - radius, 0), Offset(size.width, radius)), // Rect

kururu-abdo

import 'dart:typed_data';
import 'dart:ui' as ui;

import 'package:flutter/material.dart';
import 'package:flutter/rendering.dart';
import 'package:google_maps_flutter/google_maps_flutter.dart';

extension ToBitDescription on Widget {
  Future<BitmapDescriptor> toBitmapDescriptor({Size? logicalSize, Size? imageSize, Duration waitToRender = const Duration(milliseconds: 300), TextDirection textDirection = TextDirection.ltr}) async {
    final widget = RepaintBoundary(

kururu-abdo

using System.Text.RegularExpressions;

public static class StringExtensions
{
    // remove double spaces
    public static string RemoveExtraSpaces(this string sender, bool trimEnd = false)
    {
        const RegexOptions options = RegexOptions.None;
        var regex = new Regex("[ ]{2,}", options);
        var result = regex.Replace(sender, " ");

kururu-abdo

class CategoryView extends StatefulWidget {
  final bool isHomePage;

  CategoryView({required this.isHomePage});

  @override
  State<CategoryView> createState() => _CategoryViewState();
}

class _CategoryViewState extends State<CategoryView> {

kururu-abdo

import 'package:flutter/material.dart';
import 'package:flutter/cupertino.dart';

const Color darkBlue = Color.fromARGB(255, 18, 32, 47);

void main() {
  runApp(MyApp());
}

final GlobalKey<NavigatorState> navigatorKey = GlobalKey<NavigatorState>();

kururu-abdo

import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'dart:ui' as ui;
class ChartPage extends StatefulWidget {
  const ChartPage({super.key});

  @override
  State<ChartPage> createState() => _ChartPageState();
}

kururu-abdo

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import folium
from js import fetch
import datetime as dt

import io
%matplotlib inline

kururu-abdo

# Import required libraries
import pandas as pd
import plotly.graph_objects as go
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output

# Read the airline data into the pandas dataframe
airline_data =  pd.read_csv('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/airline_data.csv', 

kururu-abdo

# Import required packages
import pandas as pd
import plotly.express as px
import dash
import dash_html_components as html
import dash_core_components as dcc
# Read the airline data into pandas dataframe
airline_data =  pd.read_csv('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/airline_data.csv', 
                            encoding = "ISO-8859-1",
                            dtype={'Div1Airport': str, 'Div1TailNum': str, 

kururu-abdo

df_can = pd.read_csv('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.csv')

print('Data downloaded and read into a dataframe!')

! wget --quiet https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/world_countries.json
    
print('GeoJSON file downloaded!')

world_geo = r'https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/world_countries.json' # geojson file