Example plot generation

cronos.py

def get_bearwallow_mountain_station_data():
    url = 'https://climate.ncsu.edu/cronos/?station=BEAR'
    html = urllib.request.urlopen(url)
    soup = BeautifulSoup(html, features='html.parser')
    output = dict()
    output['label'] = 'Bearwallow Mtn 4200ft'
    output['temp'] = 0.00
    output['success'] = False

    try:

        Table = str(
            soup.find('table', {"class": "CurrentConditions"}).find_all('tr'))
        Tr = Table.split(',')

        Temp_1 = str(Tr[4])
        Temp_2 = Temp_1.split('<')
        Temp_3 = str(Temp_2[9])
        Temp_4 = Temp_3.split('>')
        Temp_5 = str(Temp_4[1])
        Temp_6 = Temp_5.split('°')
        Temp_7 = str(Temp_6[0])
        Temp_8 = Temp_7.strip(' ')
        output['temp'] = eval(Temp_8)
        output['success'] = True

    except:
        print("BEAR missing")

    return output

example_plot_gen.py

import piedmont.services.cronos as cronos
import piedmont.services.rays_weather as rays_weather
import piedmont.services.nc_high_peaks as nc_high_peaks

import numpy as np
import math
import shapefile
import urllib.request
import matplotlib.pyplot as plt
import matplotlib.patheffects as pe
from matplotlib.patches import PathPatch
from matplotlib.collections import LineCollection
from matplotlib import cm
from bs4 import BeautifulSoup
from datetime import datetime

def wncbar():
    barnames = []
    temperatures = []

    south_asheville = cronos.get_south_asheville_station_data()

    if south_asheville['success']:
        barnames.append(south_asheville['label'])
        temperatures.append(south_asheville['temp'])

    boone = cronos.get_boone_station_data()

    if boone['success']:
        barnames.append(boone['label'])
        temperatures.append(boone['temp'])

    grandfather = cronos.get_grandfather_station_data()

    if grandfather['success']:
        barnames.append(grandfather['label'])
        temperatures.append(grandfather['temp'])

    mitchell = cronos.get_mitchell_station_data()

    if mitchell['success']:
        barnames.append(mitchell['label'])
        temperatures.append(mitchell['temp'])

    bearwallow_mountain = cronos.get_bearwallow_mountain_station_data()

    if bearwallow_mountain['success']:
        barnames.append(bearwallow_mountain['label'])
        temperatures.append(bearwallow_mountain['temp'])

    valle_crucis = rays_weather.get_valle_crucis_station_data()

    if valle_crucis['success']:
        barnames.append(valle_crucis['label'])
        temperatures.append(valle_crucis['temp'])

    avery = rays_weather.get_avery_station_data()

    for data in avery:
        barnames.append(data['label'])
        temperatures.append(data['temp'])

    mitchell_top = nc_high_peaks.get_mitchell_top_data()

    if mitchell_top['success']:
        barnames.append(mitchell_top['label'])
        temperatures.append(mitchell_top['temp'])

    print(temperatures)

    fig = plt.figure()
    fig.patch.set_facecolor('grey')
    ax = plt.axes()
    ax.set_facecolor('grey')

    # data and bar names
    height = temperatures
    bars = barnames
    y_pos = np.arange(len(bars))

    #max/mins & fonts
    if len(height) > 0:
        maximum = max(height)+3
        minimum = min(height)-3
        font = {'size': 16, 'color': 'white'}
        font2 = {'size': 22, 'color': 'white'}

    # color
        color_1 = np.array(height)
        color_2 = cm.cool(1-(color_1 / float(max(color_1))))
        ax.xaxis.label.set_color('white')
        ax.spines['bottom'].set_color('white')
        ax.spines['top'].set_color('white')
        ax.spines['right'].set_color('white')
        ax.spines['left'].set_color('white')
        ax.tick_params(axis='x', colors='white')
        ax.tick_params(axis='y', colors='white')

    # horizontal bars
        plt.barh(y_pos, height, color=color_2)

    # y-axis names
        plt.yticks(y_pos, bars, **font)

    # x-axis
        plt.xlim(minimum, maximum)

    # x label
        plt.xlabel('Temperature (°F)', **font)

        for i, v in enumerate(height):
            plt.text(v, i-0.1, str(v), color='white', fontsize='13')
        plt.title('Mountains, NC\nVertical Temperature Profile', **font2)

        now = datetime.now()
        current_time = now.strftime("%I:%M %p")
        #plt.text(0.87,0.94,current_time,color='white',size=18,horizontalalignment='center',verticalalignment='center',transform = ax.transAxes)
        plt.text(-0.27, -0.12, "Source: NCSCO", color='white', size=16,
                 horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
        plt.text(-0.27, 1.05, "Valid: " + current_time, color='white', size=16,
                 horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
        plt.figtext(0.5, -0.2, "AppalachianWX.com", color='white',
                    size=10, horizontalalignment='center', transform=ax.transAxes)
        # show/save graphic
        plt.savefig("output/wncbarplot.png", bbox_inches='tight',
                    facecolor=fig.get_facecolor())
        # plt.show()
    elif len(height) == 0:
        fig = plt.figure()
        fig.patch.set_facecolor('grey')
        ax = plt.axes()
        ax.set_facecolor('grey')
        plt.text(0.5, 0.5, "All Stations Down", color='white', size=22,
                 horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
        plt.savefig("output/wncbarplot.png", bbox_inches='tight',
                    facecolor=fig.get_facecolor())

nc_high_peaks.py

import urllib
from bs4 import BeautifulSoup


def get_mitchell_top_data():
    url = 'https://nchighpeaks.org/davis/index.html'
    html = urllib.request.urlopen(url)
    soup = BeautifulSoup(html, features='html.parser')

    output = dict()
    output['label'] = 'Mt Mitchell #1 6600ft'
    output['temp'] = 0.00
    output['success'] = False

    try:
        Table = str(soup.find('table').find_all('tr'))
        Tr = Table.split(',')

        Temp_1 = str(Tr[0])
        Temp_2 = Temp_1.split('<td class="stats_data">')
        Temp_3 = str(Temp_2[1])
        Temp_4 = Temp_3.split('°F')
        Temp_5 = str(Temp_4[0])
        Temp = eval(Temp_5)
        output['temp'] = eval(Temp)
        output['success'] = True

    except:
        print("Mitchell Top missing")

    return output

rays_weather.py

import urllib
from bs4 import BeautifulSoup


def get_valle_crucis_station_data():
    url = 'http://booneweather.com/'
    html = urllib.request.urlopen(url)
    soup = BeautifulSoup(html, features='html.parser')
    Map = str(soup.find('map', {"name": "cc"}))

    output = dict()
    output['label'] = 'Valle Crucis 2670ft'
    output['temp'] = 0.00
    output['success'] = False

    try:
        Area_1 = Map.split('<area')
        Area_2 = str(Area_1[3])
        Temp_1 = Area_2.split('Temp:&lt;/td&gt;&lt;td&gt;')
        Temp_2 = str(Temp_1[1])
        Temp_3 = Temp_2.split('°F')
        output['temp'] = eval(Temp_3[0])
        output['success'] = True

    except:
        print("Valle Crucis missing")

    return output


def get_avery_station_data():
    url = 'http://averyweather.com/'
    html = urllib.request.urlopen(url)
    soup = BeautifulSoup(html, features='html.parser')
    Map = str(soup.find('map', {"name": "cc"}))
    output = []

    linville_output = dict()
    linville_output['label'] = 'Linville 3650ft'
    linville_output['temp'] = 0.00
    linville_output['success'] = False

    try:
        Area_1 = Map.split('<area')
        Area_2 = str(Area_1[5])
        Temp_1 = Area_2.split('Temp:&lt;/td&gt;&lt;td&gt;')
        Temp_2 = str(Temp_1[1])
        Temp_3 = Temp_2.split('°F')

        linville_output['temp'] = eval(Temp_3[0])
        linville_output['success'] = True
        output.append(linville_output)

    except:
        print("Linville missing")

    seven_devils_output = dict()
    seven_devils_output['label'] = 'Seven Devils 3940ft'
    seven_devils_output['temp'] = 0.00
    seven_devils_output['success'] = False

    try:
        Area_1 = Map.split('<area')
        Area_2 = str(Area_1[11])
        Temp_1 = Area_2.split('Temp:&lt;/td&gt;&lt;td&gt;')
        Temp_2 = str(Temp_1[1])
        Temp_3 = Temp_2.split('°F')
        seven_devils_output['temp'] = eval(Temp_3[0])
        seven_devils_output['success'] = True
        output.append(seven_devils_output)

    except:
        print("Seven Devils missing")

    sugar_mountain_output = dict()
    sugar_mountain_output['label'] = 'Sugar Mtn 5000ft'
    sugar_mountain_output['temp'] = 0.00
    sugar_mountain_output['success'] = False

    try:
        Area_1 = Map.split('<area')
        Area_2 = str(Area_1[7])
        Temp_1 = Area_2.split('Temp:&lt;/td&gt;&lt;td&gt;')
        Temp_2 = str(Temp_1[1])
        Temp_3 = Temp_2.split('°F')
        sugar_mountain_output['temp'] = eval(Temp_3[0])
        sugar_mountain_output['success'] = True
        output.append(sugar_mountain_output)

    except:
        print("Sugar Mountain missing")

    return output