voila weather

voilaweather.tx

import pandas as pd
import ipywidgets as widgets

weather=pd.read_csv('heathrowDataFiltered.csv')

def fmax(year): 
    yticks = [0,5,10,15,20,25,30]
    label="Degrees Celsius"
    f(year, 'Tmax','line', yticks, label)
    
def fmin(year): 
    yticks = [0,5,10,15,20,25,30]
    label="Degrees Celsius"
    f(year, 'Tmin','line',yticks, label)
    
def frain(year):
    yticks = [0,10,20,30,40,50,60,70,80,90,100]
    label="Millimetres"
    f(year, 'Rain','bar',yticks, label)
    
def fsun(year): 
    yticks = [0,50,100,150,200,250,300]
    label="Hours"
    f(year, 'Sun','bar', yticks, label)

def f(year,y, kind, yticks,label):
    xticks= [1,2,3,4,5,6,7,8,9,10,11,12]
    xlabels = ['Jan','Feb','Mar','Apr','May',
               'Jun','Jul','Aug','Sep','Oct','Nov','Dec']
    
    ax = weather[weather['Year']==year].plot(kind = kind, y = y, 
                                             x ='Month', yticks = yticks,
                                             xticks = xticks, legend = False, 
                                             title = y)
    ax.set_xticklabels(xlabels)
    ax.set_ylabel(label)

year = widgets.IntSlider(description='Select year', 
                         min = weather.Year.min(), 
                         max = weather.Year.max(), 
                         value = (weather.Year.max()+weather.Year.min())/2,
                         layout=widgets.Layout(width='500px'))

chartmax = widgets.interactive_output(fmax, {'year':year})
chartmin = widgets.interactive_output(fmin, {'year':year})
chartrain = widgets.interactive_output(frain, {'year':year})
chartsun = widgets.interactive_output(fsun, {'year':year})

header = widgets.HTML(value="<h1>Monthly weather data</h1>Adjust the slider below the chart to select year")

grid = widgets.GridspecLayout(4, 2, height='900px', width='1000px')

grid[0,:2]=header
grid[1,0]=chartmin
grid[1,1]=chartmax
grid[2,0]=chartrain
grid[2,1]=chartsun
grid[3,0:2]=year
grid