def display_borrow_rates(top: int,
current: bool = True,
export: str = "") -> None:
"""Displays DeFi borrow rates. By using smart contracts, borrowers are able to lock
collateral to protect against defaults while seamlessly adding to or closing their
loans at any time.
[Source: https://defirate.com/]
Parameters
----------
top: int
Number of records to display
current: bool
If true displays current funding rate values. If false displays last 30 day average of funding rates.
export : str
Export dataframe data to csv,json,xlsx file
"""
df = defirate_model.get_borrow_rates(current)
df_data = df.copy()
df = df.loc[:, ~df.eq("–").all()]
if gtff.USE_TABULATE_DF:
print(
tabulate(
df.head(top),
headers=df.columns,
floatfmt=".2f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df.to_string, "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"borrow",
df_data,
)
def display_borrow_rates(top: int,
current: bool = True,
export: str = "") -> None:
"""Displays DeFi borrow rates. By using smart contracts, borrowers are able to lock
collateral to protect against defaults while seamlessly adding to or closing their
loans at any time.
[Source: https://defirate.com/]
Parameters
----------
top: int
Number of records to display
current: bool
If true displays current funding rate values. If false displays last 30 day average of funding rates.
export : str
Export dataframe data to csv,json,xlsx file
"""
df = defirate_model.get_borrow_rates(current)
df_data = df.copy()
df = df.loc[:, ~df.eq("–").all()]
print_rich_table(
df.head(top),
headers=list(df.columns),
show_index=False,
title="DeFi Borrow Rates",
)
console.print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"borrow",
df_data,
)
def test_get_borrow_rates(recorder):
df = defirate_model.get_borrow_rates(current=True)
recorder.capture(df)