from statsmodels.tsa.arima_model import ARIMA
from utils import import_temperatures, save_figure
import numpy as np
import plotly.express as px
import pandas as pd
df = import_temperatures('Brazil')
x = list(df['year'])
y = list(np.asarray(df['temp']))
for i in range(250):
if (i + 1) % 50 == 0:
print('%d/250' % (i + 1))
model = ARIMA(y, order=(5, 1, 0))
model_fit = model.fit(disp=0)
output = model_fit.forecast()
y.append(output[0][0])
x = x + [2014 + i for i in range(250)]
df = []
for i in range(len(x)):
df.append([x[i], y[i]])
df = pd.DataFrame(df, columns=['x', 'y'])
fig = px.line(df, x='x', y='y')
fig.update_layout(
title='The prediction of average temperature in Brazil using ARIMA model',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('Ukraine')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in Ukraine',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_ukraine', fig)
from statsmodels.tsa.arima_model import ARIMA
from utils import import_temperatures, save_figure
import numpy as np
import plotly.express as px
import pandas as pd
df = import_temperatures('Japan')
x = list(df['year'])
y = list(np.asarray(df['temp']))
for i in range(250):
if (i + 1) % 50 == 0:
print('%d/250' % (i + 1))
model = ARIMA(y, order=(5, 1, 0))
model_fit = model.fit(disp=0)
output = model_fit.forecast()
y.append(output[0][0])
x = x + [2014 + i for i in range(250)]
df = []
for i in range(len(x)):
df.append([x[i], y[i]])
df = pd.DataFrame(df, columns=['x', 'y'])
fig = px.line(df, x='x', y='y')
fig.update_layout(
title='The prediction of average temperature in Japan using ARIMA model',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('Sweden')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in Sweden',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_sweden', fig)
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('Poland')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in Poland',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_poland', fig)
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('New Zealand')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in New Zealand',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_new_zealand', fig)
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('France')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in France',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_france', fig)
from utils import import_temperatures, save_figure
import plotly.express as px
df = import_temperatures('South Africa')
fig = px.scatter(df, x="year", y="temp")
fig.update_layout(title='Average temperature in South Africa',
titlefont=dict(size=14),
title_x=0.5,
autosize=False,
width=650,
height=500,
xaxis=dict(title='Year', titlefont=dict(size=12)),
yaxis=dict(title='Average temperature (Celsius)',
titlefont=dict(size=12)))
save_figure('scatter_south_africa', fig)