Ekonomik İstatistikler
Cari açık ile kur ilişkisi
import util
cols = ['TURB6BLTT02STSAQ','RBTRBIS']
df = util.get_fred(2000,cols)
df = df.dropna()
print (df.tail(5))
plt.figure(figsize=(10,6))
ax1 = df.TURB6BLTT02STSAQ.plot(color='blue', grid=True, label='TR Cari Hesap, GSYH % Olarak')
ax2 = df.RBTRBIS.plot(color='red', grid=True, secondary_y=True, label='TR Kur')
h1, l1 = ax1.get_legend_handles_labels()
h2, l2 = ax2.get_legend_handles_labels()
plt.legend(h1+h2, l1+l2, loc=2)
plt.savefig('currxch.png')
TURB6BLTT02STSAQ RBTRBIS
DATE
2020-10-01 -4.992384 49.55
2021-01-01 -3.439216 54.04
2021-04-01 0.130167 50.83
2021-07-01 -0.718499 50.54
2021-10-01 -3.339187 49.22
İthalat İhracat Oranı ve Kur
import util
df = util.get_fred(1990, ['TURIMPORTADSMEI','TUREXPORTADSMEI','RBTRBIS'])
df = df[df.index > '1999-01-01']
df.columns = ['import','export','forex']
df = df.interpolate()
df['ratio'] = df['import'] / df['export']
df['forex'] = (df.forex / 100.0)
df[['ratio','forex']].plot()
plt.savefig('impexp.png')
Dollar / TL
import util; df = util.get_yahoofin(2010,"USDTRY=X"); df.plot()
print (df.tail(5))
plt.savefig('try-dollar.png')
Date
2022-08-02 17.893499
2022-08-03 17.943100
2022-08-04 17.930700
2022-08-05 17.941700
2022-08-06 17.910101
Name: Close, dtype: float64
Euro / TL
import util; df = util.get_yahoofin(2010,"EURTRY=X"); df.plot()
print (df.tail(5))
plt.savefig('try-eur.png')
Date
2022-08-02 18.332830
2022-08-03 18.217159
2022-08-04 18.206249
2022-08-05 18.380260
2022-08-05 18.237400
Name: Close, dtype: float64
