Created
September 25, 2020 23:34
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Diagrama Xalapa | |
44.4,46.7,41.4,65.9,110.8,278,206.1,164.9,255,89.4,58.7,50 | |
15.7,16.6,18.8,21.1,22,21.7,20.7,20.8,20.4,19.3,17.8,16.4 | |
Diagrama Perote | |
13.3,14.2,11.1,26.2,34.8,74.9,53.3,54.6,110.8,76,24.8,13.8 | |
9.9,10.9,13.3,14.9,15.4,14.7,13.6,13.4,13.4,12,10.7,12.7 | |
Diagrama Paso de ovejas | |
14.8,10.2,8.6,10.6,32.3,172.6,239,180.5,161.3,61.2,27.8,14.7 | |
21.4,22.2,24.3,26.7,28.2,28.1,26.7,26.9,26.9,25.8,24.2,22.1 | |
Diagrama las Vigas | |
30.3,31.5,23.6,39.3,52.8,155.9,155.2,140.6,244.5,143.3,71.5,36.2 | |
9.3,10.5,12.5,14.1,14.7,13.4,12.4,12.5,12,11.1,10.4,9.6 |
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import matplotlib.pyplot as plt | |
import sys | |
import csv | |
meses = [ 'enero', 'febrero', 'marzo', 'abril', 'mayo', 'junio', 'julio', 'agosto', 'septiembre', 'octubre', 'noviembre', 'diciembre', ] | |
colors = [ | |
'red', | |
'green', | |
'blue', | |
'orange', | |
] | |
def main(data): | |
fig, ax = plt.subplots() | |
fig.suptitle('Termohietica', fontsize=14) | |
for i, chunk in enumerate(data): | |
for month in range(11): | |
ax.annotate(meses[month], xy=(chunk['prec'][month], chunk['temp'][month])) | |
plt.plot(chunk['prec'][month:month+2], chunk['temp'][month:month+2], color=colors[i], marker='o', linestyle='solid') | |
ax.annotate(meses[11], xy=(chunk['prec'][11], chunk['temp'][11])) | |
plt.plot([chunk['prec'][0], chunk['prec'][11]], [chunk['temp'][0], chunk['temp'][11]], color=colors[i], marker='o', linestyle='solid') | |
ax.set_xlabel('Precipitación') | |
ax.set_ylabel('Temperatura') | |
plt.show() | |
def get_row(line): | |
if line.startswith('\ufeff'): | |
line = line[1:] | |
return list(map(lambda x: float(x.strip()), line.strip().split(','))) | |
if __name__ == '__main__': | |
try: | |
filename = sys.argv[1] | |
except IndexError: | |
print("Se te olvidó pasarle el nombre del archivo de datos") | |
with open(filename) as datafile: | |
data = [ | |
{ | |
'title': next(datafile)[0], | |
'prec': get_row(next(datafile)), | |
'temp': get_row(next(datafile)), | |
} | |
for _ in range(4) | |
] | |
main(data) |
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