def main():
"""Gets several historical data series from different countries and stores them in several CSV files.
The CSVs are named as follows: <indicator>_<date>.csv.
The end date is always the current date.
"""
te.login('guest:guest') #Insert your API Key
countries = ['United States', 'Germany', 'China', 'United Kingdom', 'Portugal', 'Spain', 'France', 'Japan', 'Australia'] #Choose your Countries
indicators = ['GDP', 'Interest Rate', 'Population'] #Choose your indicators. WARNING: It must be written like on https://api.tradingeconomics.com/indicators.
today_date = datetime.now().strftime("%Y-%m-%d")
for indicator in indicators:
csv_file_name = indicator + "_" + today_date+".csv"
pfa = pd.DataFrame()
print("----------------")
print(indicator)
for countries_chunk in chunks(countries, 3):
print(countries_chunk)
mydata = te.getHistoricalData(country = countries_chunk, indicator = [indicator], initDate = '1950-01-01', endDate = today_date ) #Choose initDate or EndDate
for country in countries_chunk:
for a in mydata[country][indicator][0]:
dfa = a.to_frame()
pfa = pd.concat([pfa, dfa],axis=1) #axis=1, concatenation on the columns.
time.sleep(1)
pfa.to_csv(csv_file_name, header=countries)
def main():
indicators = get_indicators()
today_date = datetime.now().strftime("%Y-%m-%d")
for indicator in list(indicators):
countries = get_countries(str(indicator))
if countries:
for countries_chunk in chunks(countries, 1):
print(",".join(countries_chunk) + " - " + indicator)
mydata = te.getHistoricalData(
country=countries_chunk,
indicator=[indicator],
initDate='1800-01-01',
endDate=today_date) #Choose initDate or EndDate
print(mydata)
# HERE: do something with the data
time.sleep(1) #avoid throttling protection
def buttonClicked(self):
print('the button was clicked')
countryToUse = self.Entry2.get()
indicToUse = self.Entry1.get()
self.Message1.configure(text='The button was clicked... \r----------\rThe country selected is: ' + countryToUse +' \r----------\r The indicataor selected is: ' + indicToUse)
print('plotting: ' + countryToUse + ' with ' + indicToUse)
#plot a simple chart
mydata = te.getHistoricalData(country = countryToUse, indicator = indicToUse)
plt.title(countryToUse + " - " + indicToUse)
plt.grid(True)
plt.ylabel("Indicator - " + indicToUse)
plt.xlabel("Historical dates")
plt.plot(mydata)
plt.show()
# invoke the chartPage class.
chartPage(mydata, countryToUse, indicToUse)
import tradingeconomics as te
te.login('E7B603832B1048B:66EBB7ED5DC548C')
a = te.getHistoricalData(country=['United States', 'china'],
indicator=['Imports', 'Exports'],
initDate='2011-01-01',
endDate='2016-01-01')
print(a)
import tradingeconomics as te
te.login('guest:guest')
#without a client key only a small sample of data will be given.
#Getting historical data by country, indicator and date. Output type will be a pandas dataframe
mydata = te.getHistoricalData(country='United States',
indicator='Exports',
initDate='1990-01-01',
endDate='2015-01-01')
print(mydata)
print(
"==============================================================================================================="
)
#Putting country name or indicator name in square brackets the result, by default, will be of the dictionary type for several countries and indicators
mydata = te.getHistoricalData(country=['United States', 'Germany'],
indicator=['Exports', 'Imports', 'GDP'],
initDate='1990-01-01',
endDate='2015-01-01')
print(mydata)
keyGiven = '5C45DD6C810D457:30FB510CFFAA4E7'
keyGuest = 'guest:guest'
#without a client key only a small sample of data will be given.
te.login(keyGiven)
# country and indicator
countrySelect = 'United states'
IndicatorSelect = 'Imports'
#plot a simple chart
mydata = te.getHistoricalData(country = countrySelect, indicator = IndicatorSelect)
plt.title(countrySelect + " - " + IndicatorSelect)
plt.grid(True)
plt.ylabel("Indicator - " + IndicatorSelect)
plt.xlabel("Historical dates")
plt.plot(mydata)
plt.show()
'''
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 20 16:31:08 2018
http://docs.tradingeconomics.com/#introduction
@author: javif
"""
import tradingeconomics as te
# %%
user = '******'
password = '******'
te.login('%s:%s' % (user, password))
# %%
gdpDF = te.getIndicatorData(country='united states', indicators='gdp')
# %% earnings
symbol = 'msft'
country = 'us'
earningsDF = te.getEarnings(symbols='%s:%s' % (symbol, country),
initDate='2016-01-01',
endDate='2018-12-31')
# %%
hist = te.getHistoricalData(country=['united states', 'china'],
indicator=['exports', 'imports'],
initDate='1990-01-01',
endDate='2015-01-01',
output_type='df')
import matplotlib.pyplot as plt
import numpy as np
import tradingeconomics as te
#without a client key only a small sample of data will be given.
te.login('guest:guest')
#plot a simple chart
mydata = te.getHistoricalData(country='United states', indicator='Imports')
plt.title("United states - Imports")
plt.grid(True)
plt.ylabel("Indicator - Imports")
plt.xlabel("Historical")
plt.plot(mydata)
plt.show()