Add alpha vantage economy endpoints to Econ menu (#918)

* Add alpha vantage gdp

* Add gdp per capita

* Add av inflation

* AV treasury yield

* AV unemployment

* Hugo doc

* forgot to commit a hugo page

Co-authored-by: James Maslek <james@macbook-pro.myfiosgateway.com>
This commit is contained in:
jmaslek
2021-11-05 14:52:58 -04:00
committed by GitHub
parent 8584ac0a61
commit aeb50156b7
10 changed files with 863 additions and 3 deletions

View File

@@ -3,8 +3,10 @@ __docformat__ = "numpy"
import pandas as pd
from alpha_vantage.sectorperformance import SectorPerformances
import requests
from gamestonk_terminal import config_terminal as cfg
from gamestonk_terminal.helper_funcs import get_user_agent
def get_sector_data() -> pd.DataFrame:
@@ -21,3 +23,147 @@ def get_sector_data() -> pd.DataFrame:
# pylint: disable=unbalanced-tuple-unpacking
df_sectors, _ = sector_perf.get_sector()
return df_sectors
def get_real_gdp(interval: str = "a") -> pd.DataFrame:
"""Get annual or quarterly Real GDP for US
Parameters
----------
interval : str, optional
Interval for GDP, by default "a" for annual
Returns
-------
pd.DataFrame
Dataframe of GDP
"""
s_interval = "quarterly" if interval == "q" else "annual"
url = f"https://www.alphavantage.co/query?function=REAL_GDP&interval={s_interval}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["GDP"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data
def get_gdp_capita() -> pd.DataFrame:
"""Real GDP per Capita for United States
Returns
-------
pd.DataFrame
DataFrame of GDP per Capita
"""
url = f"https://www.alphavantage.co/query?function=REAL_GDP_PER_CAPITA&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["GDP"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data
def get_inflation() -> pd.DataFrame:
"""Get historical Inflation for United States from AlphaVantage
Returns
-------
pd.DataFrame
DataFrame of inflation rates
"""
url = f"https://www.alphavantage.co/query?function=INFLATION&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["Inflation"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data
def get_cpi(interval: str) -> pd.DataFrame:
"""Get Consumer Price Index from Alpha Vantage
Parameters
----------
interval : str
Interval for data. Either "m" or "s" for monthly or semiannual
Returns
-------
pd.DataFrame
Dataframe of CPI
"""
s_interval = "semiannual" if interval == "s" else "monthly"
url = f"https://www.alphavantage.co/query?function=CPI&interval={s_interval}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["CPI"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data
def get_treasury_yield(interval: str, maturity: str) -> pd.DataFrame:
"""Get historical yield for a given maturity
Parameters
----------
interval : str
Interval for data. Can be "d","w","m" for daily, weekly or monthly
maturity : str
Maturity timeline. Can be "3mo","5y","10y" or "30y"
Returns
-------
pd.DataFrame
Dataframe of historical yields
"""
d_interval = {"d": "daily", "w": "weekly", "m": "monthly"}
d_maturity = {"3m": "3month", "5y": "5year", "10y": "10year", "30y": "30year"}
url = f"https://www.alphavantage.co/query?function=TREASURY_YIELD&interval={d_interval[interval]}&ma"
url += f"turity={d_maturity[maturity]}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["Yield"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data
def get_unemployment() -> pd.DataFrame:
"""Get historical unemployment for United States
Returns
-------
pd.DataFrame
Dataframe of historical yields
"""
url = f"https://www.alphavantage.co/query?function=UNEMPLOYMENT&apikey={cfg.API_KEY_ALPHAVANTAGE}"
r = requests.get(url, headers={"User-Agent": get_user_agent()})
if r.status_code != 200:
return pd.DataFrame()
data = pd.DataFrame(r.json()["data"])
data["date"] = pd.to_datetime(data["date"])
data["unemp"] = data["value"].astype(float)
data = data.drop(columns=["value"])
return data

View File

@@ -8,7 +8,8 @@ from tabulate import tabulate
from gamestonk_terminal import feature_flags as gtff
from gamestonk_terminal.economy import alphavantage_model
from gamestonk_terminal.helper_funcs import export_data
from gamestonk_terminal.helper_funcs import export_data, plot_autoscale
from gamestonk_terminal import config_plot as cfp
def realtime_performance_sector(raw: bool, export: str):
@@ -59,3 +60,316 @@ def realtime_performance_sector(raw: bool, export: str):
if gtff.USE_ION:
plt.ion()
plt.show()
def display_real_gdp(
interval: str, start_year: int = 2010, raw: bool = False, export: str = ""
):
"""Display US GDP from AlphaVantage
Parameters
----------
interval : str
Interval for GDP. Either "a" or "q"
start_year : int, optional
Start year for plot, by default 2010
raw : bool, optional
Flag to show raw data, by default False
export : str, optional
Format to export data, by default ""
"""
gdp_full = alphavantage_model.get_real_gdp(interval)
if gdp_full.empty:
print("Error getting data. Check API Key")
return
gdp = gdp_full[gdp_full.date >= f"{start_year}-01-01"]
int_string = "Annual" if interval == "a" else "Quarterly"
year_str = str(start_year) if interval == "a" else str(list(gdp.date)[-1].year)
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(gdp.date, gdp.GDP, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"{int_string} US GDP ($B) from {year_str}")
ax.set_ylabel("US GDP ($B) ")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"gdp",
gdp_full,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
gdp.head(20),
headers=["Date", "GDP"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(gdp.head(20).to_string())
print("")
def display_gdp_capita(start_year: int = 2010, raw: bool = False, export: str = ""):
"""Display US GDP per Capita from AlphaVantage
Parameters
----------
start_year : int, optional
Start year for plot, by default 2010
raw : bool, optional
Flag to show raw data, by default False
export : str, optional
Format to export data, by default ""
"""
gdp_capita = alphavantage_model.get_gdp_capita()
if gdp_capita.empty:
print("Error getting data. Check API Key")
return
gdp = gdp_capita[gdp_capita.date >= f"{start_year}-01-01"]
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(gdp.date, gdp.GDP, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"US GDP per Capita (Chained 2012 USD) from {start_year}")
ax.set_ylabel("US GDP (Chained 2012 USD) ")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"gdpc",
gdp_capita,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
gdp.head(20),
headers=["Date", "GDP"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(gdp.head(20).to_string())
print("")
def display_inflation(start_year: int = 2010, raw: bool = False, export: str = ""):
"""Display US Inflation from AlphaVantage
Parameters
----------
start_year : int, optional
Start year for plot, by default 2010
raw : bool, optional
Flag to show raw data, by default False
export : str, optional
Format to export data, by default ""
"""
inflation = alphavantage_model.get_inflation()
if inflation.empty:
print("Error getting data. Check API Key")
return
inf = inflation[inflation.date >= f"{start_year}-01-01"]
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(inf.date, inf.Inflation, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"US Inflation from {list(inf.date)[-1].year}")
ax.set_ylabel("Inflation (%)")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"inf",
inflation,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
inf.head(20),
headers=["Date", "Inflation"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(inf.head(20).to_string())
print("")
def display_cpi(
interval: str, start_year: int = 2010, raw: bool = False, export: str = ""
):
"""Display US consumer price index (CPI) from AlphaVantage
Parameters
----------
interval : str
Interval for GDP. Either "m" or "s"
start_year : int, optional
Start year for plot, by default 2010
raw : bool, optional
Flag to show raw data, by default False
export : str, optional
Format to export data, by default ""
"""
cpi_full = alphavantage_model.get_cpi(interval)
if cpi_full.empty:
print("Error getting data. Check API Key")
return
cpi = cpi_full[cpi_full.date >= f"{start_year}-01-01"]
int_string = "Semi-Annual" if interval == "s" else "Monthly"
year_str = str(list(cpi.date)[-1].year)
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(cpi.date, cpi.CPI, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"{int_string} CPI from {year_str}")
ax.set_ylabel("CPI ")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"cpi",
cpi_full,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
cpi.head(20),
headers=["Date", "CPI"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(cpi.head(20).to_string())
print("")
def display_treasury_yield(
interval: str, maturity: str, start_date: str, raw: bool = False, export: str = ""
):
"""Display historical treasury yield for given maturity
Parameters
----------
interval : str
Interval for data. Can be "d","w","m" for daily, weekly or monthly
maturity : str
Maturity timeline. Can be "3mo","5y","10y" or "30y"
start_date: str
Start date for data. Should be in YYYY-MM-DD format
raw : bool, optional
Flag to display raw data, by default False
export : str, optional
Format to export data, by default ""
"""
d_maturity = {"3m": "3month", "5y": "5year", "10y": "10year", "30y": "30year"}
yields = alphavantage_model.get_treasury_yield(interval, maturity)
if yields.empty:
print("Error getting data. Check API Key")
return
yld = yields[yields.date >= start_date]
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(yld.date, yld.Yield, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"{d_maturity[maturity]} Treasury Yield")
ax.set_ylabel("Yield")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"tyld",
yields,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
yld.head(20),
headers=["Date", "Yield"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(yld.head(20).to_string())
print("")
def display_unemployment(start_year: int = 2015, raw: bool = False, export: str = ""):
"""Display US unemployment AlphaVantage
Parameters
----------
start_year : int, optional
Start year for plot, by default 2010
raw : bool, optional
Flag to show raw data, by default False
export : str, optional
Format to export data, by default ""
"""
unemp = alphavantage_model.get_unemployment()
if unemp.empty:
print("Error getting data. Check API Key")
return
un = unemp[unemp.date >= f"{start_year}-01-01"]
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
ax.plot(un.date, un.unemp, marker="o", c="dodgerblue")
ax.set_xlabel("Date")
ax.set_title(f"US Unemployment from {start_year}")
ax.set_ylabel("US Unemployment ")
ax.grid("on")
fig.tight_layout()
if gtff.USE_ION:
plt.ion()
plt.show()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"unemp",
unemp,
)
if raw:
if gtff.USE_TABULATE_DF:
print(
tabulate(
un.head(20),
headers=["Date", "GDP"],
tablefmt="fancy_grid",
showindex=False,
)
)
else:
print(un.head(20).to_string())
print("")

View File

@@ -1,7 +1,8 @@
""" Econ Controller """
__docformat__ = "numpy"
# pylint:disable=too-many-lines
import argparse
from datetime import datetime, timedelta
import os
from typing import List
@@ -17,6 +18,7 @@ from gamestonk_terminal.economy import (
wsj_view,
)
from gamestonk_terminal.helper_funcs import (
EXPORT_BOTH_RAW_DATA_AND_FIGURES,
check_positive,
get_flair,
parse_known_args_and_warn,
@@ -29,7 +31,7 @@ from gamestonk_terminal.helper_funcs import (
)
from gamestonk_terminal.menu import session
# pylint: disable=R1710
# pylint: disable=R1710,R0904
class EconomyController:
@@ -84,6 +86,12 @@ class EconomyController:
"spectrum",
"map",
"rtps",
"gdp",
"gdpc",
"inf",
"cpi",
"tyld",
"unemp",
"industry",
]
@@ -131,6 +139,12 @@ Finviz:
spectrum spectrum of sectors, industry, country
Alpha Vantage:
rtps real-time performance sectors
gdp real GDP for United States
gdpc quarterly real GDP per Capita data of the United States
inf infation rates for United States
cpi consumer price index for United States
tyld treasury yields for United States
unemp United States unemployment rates
FRED:
search search FRED series notes
series plot series from https://fred.stlouisfed.org
@@ -782,6 +796,284 @@ FRED:
export=ns_parser.export,
)
@try_except
def call_gdp(self, other_args: List[str]):
"""Process gdp command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="gdp",
description="""
Get real GDP for US on either annual or quarterly interval [Source: Alpha Vantage]
""",
)
parser.add_argument(
"-i",
"--interval",
help="Interval for GDP data",
dest="interval",
choices=["a", "q"],
default="a",
)
parser.add_argument(
"-s",
"--start",
help="Start year. Quarterly only goes back to 2002.",
dest="start",
type=int,
default=2010,
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
if other_args and "-" not in other_args[0]:
other_args.insert(0, "-i")
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_real_gdp(
interval=ns_parser.interval,
start_year=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_gdpc(self, other_args: List[str]):
"""Process gdpc command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="gdpc",
description="""
Get real GDP per capita for United States[Source: Alpha Vantage]
""",
)
parser.add_argument(
"-s",
"--start",
help="Start year.",
dest="start",
type=int,
default=2010,
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_gdp_capita(
start_year=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_inf(self, other_args: List[str]):
"""Process inf command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="inf",
description="""
Get historical Inflation for United States[Source: Alpha Vantage]
""",
)
parser.add_argument(
"-s",
"--start",
help="Start year.",
dest="start",
type=int,
default=2010,
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_inflation(
start_year=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_cpi(self, other_args: List[str]):
"""Process cpi command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="inf",
description="""
Get historical CPI for United States [Source: Alpha Vantage]
""",
)
parser.add_argument(
"-i",
"--interval",
help="Interval for GDP data",
dest="interval",
choices=["s", "m"],
default="s",
)
parser.add_argument(
"-s",
"--start",
help="Start year.",
dest="start",
type=int,
default=2010,
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_cpi(
interval=ns_parser.interval,
start_year=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_tyld(self, other_args: List[str]):
"""Process tyld command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="tyld",
description="""
Get historical Treasury Yield [Source: Alpha Vantage]
""",
)
parser.add_argument(
"-i",
"--interval",
help="Interval for treasury data",
dest="interval",
choices=["d", "w", "m"],
default="w",
)
parser.add_argument(
"-m",
"--maturity",
help="Maturity timeline for treasury",
dest="maturity",
choices=["3m", "5y", "10y", "30y"],
default="5y",
)
parser.add_argument(
"-s",
"--start",
help="Start date.",
dest="start",
type=valid_date,
default=datetime.now() - timedelta(days=366),
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_treasury_yield(
interval=ns_parser.interval,
maturity=ns_parser.maturity,
start_date=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_unemp(self, other_args: List[str]):
"""Process unemp command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="unemp",
description="""
Get United States Unemployment data [Source: Alpha Vantage]
""",
)
parser.add_argument(
"-s",
"--start",
help="Start year.",
dest="start",
type=int,
default=2015,
)
parser.add_argument(
"--raw",
help="Display raw data",
action="store_true",
dest="raw",
default=False,
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if not ns_parser:
return
alphavantage_view.display_unemployment(
start_year=ns_parser.start,
raw=ns_parser.raw,
export=ns_parser.export,
)
@try_except
def call_series(self, other_args: List[str]):
"""Process series command"""

17
website/content/economy/cpi/_index.md vendored Normal file
View File

@@ -0,0 +1,17 @@
```
usage: inf [-i {s,m}] [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
```
Get historical CPI for United States [Source: Alpha Vantage]
```
optional arguments:
-i {s,m}, --interval {s,m}
Interval for GDP data (default: s)
-s START, --start START
Start year. (default: 2010)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

17
website/content/economy/gdp/_index.md vendored Normal file
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@@ -0,0 +1,17 @@
```
usage: gdp [-i {a,q}] [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
```
Get real GDP for US on either annual or quarterly interval [Source: Alpha Vantage]
```
optional arguments:
-i {a,q}, --interval {a,q}
Interval for GDP data (default: a)
-s START, --start START
Start year. Quarterly only goes back to 2002. (default: 2010)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

15
website/content/economy/gdpc/_index.md vendored Normal file
View File

@@ -0,0 +1,15 @@
```
usage: gdpc [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
```
Get real GDP per capita for United States [Source: Alpha Vantage]
```
optional arguments:
-s START, --start START
Start year. (default: 2010)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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```
usage: inf [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
```
Get historical Inflation for United States[Source: Alpha Vantage]
```
optional arguments:
-s START, --start START
Start year. (default: 2010)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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```
usage: tyld [-i {d,w,m}] [-m {3m,5y,10y,30y}] [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
Get historical Treasury Yield [Source: Alpha Vantage]
optional arguments:
-i {d,w,m}, --interval {d,w,m}
Interval for treasury data (default: w)
-m {3m,5y,10y,30y}, --maturity {3m,5y,10y,30y}
Maturity timeline for treasury (default: 5y)
-s START, --start START
Start date. (default: 2020-11-04 14:03:29.757932)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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```
usage: unemp [-s START] [--raw] [-h] [--export {png,jpg,pdf,svg}]
```
Get United States Unemployment data [Source: Alpha Vantage]
```
optional arguments:
-s START, --start START
Start year. (default: 2015)
--raw Display raw data (default: False)
-h, --help show this help message (default: False)
--export {png,jpg,pdf,svg}
Export or figure into png, jpg, pdf, svg (default: )
```

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@@ -799,6 +799,18 @@ main:
ref: "/economy/spectrum"
- name: rtps
ref: "/economy/rtps"
- name: gdp
ref: "/economy/gdp"
- name: gdpc
ref: "/economy/gdpc"
- name: inf
ref: "/economy/inf"
- name: cpi
ref: "/economy/cpi"
- name: tyld
ref: "/economy/tyld"
- name: unemp
ref: "/economy/unemp"
- name: search
ref: "/economy/search"
- name: series