def test_plot_with_legend():
import matplottheme as mpt
mpt.set_theme('ggplot2', 'ggplot2')
fig = plt.figure()
ax = fig.add_subplot(111)
np.random.seed(0)
for i in range(8):
y = np.random.normal(size=1000).cumsum()
x = np.arange(1000)
mpt.plot(ax, x, y, label='Data {index}'.format(index=str(i + 1)))
mpt.legend(ax)
mpt.set_theme('default', 'default')
def animate(i):
with open('ivana_mi_te_volimo.txt', 'r') as csvfile:
plots = csv.reader(csvfile, delimiter=',')
j = 0
for row in plots:
if len(row) > 1:
temp = row[0].split(':')
pom = int(temp[0]) * 3600 + int(temp[1]) * 60 + int(temp[2])
x.append(pom)
try:
y.append(float(row[1]))
except:
y.append(26)
ax1.clear()
ax1.plot(x, y)
f = open("ivana_mi_te_volimo.txt", "w").close()
plt.xlabel('Time of The Day')
plt.ylabel('Temperature')
plt.title(
'Graph representing corelation between temeperature and time')
mpt.set_theme('ggplot2', 'ggplot2')
def test_ggplot2_style():
fig = plt.figure(figsize=(12, 14))
mpt.set_theme('ggplot2', 'ggplot2')
content(fig)
mpt.set_theme('default', 'default')
