def display_basic(coin_id: str, export: str) -> None:
"""Get basic information for coin. Like:
name, symbol, rank, type, description, platform, proof_type, contract, tags, parent. [Source: CoinPaprika]
Parameters
----------
coin_id: str
Identifier of coin for CoinPaprika API
export: str
Export dataframe data to csv,json,xlsx
"""
df = coinpaprika_model.basic_coin_info(coin_id)
if df.empty:
console.print("No data available\n")
return
print_rich_table(df,
headers=list(df.columns),
show_index=False,
title="Basic Coin Information")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"basic",
df,
)
def basic(coin_id: str, other_args: List[str]):
"""Get basic information for coin. Like:
name, symbol, rank, type, description, platform, proof_type,
contract, tags, parent
Parameters
----------
coin_id: str
Identifier of coin for CoinPaprika API
other_args: List[str]
Arguments to pass to argparse
"""
parser = argparse.ArgumentParser(
prog="basic",
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description="""Get basic information for coin. Like:
name, symbol, rank, type, description, platform, proof_type,
contract, tags, parent""",
)
try:
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
df = paprika.basic_coin_info(coin_id)
if df.empty:
print("No data available\n")
return
print(
tabulate(
df,
headers=df.columns,
floatfmt=".0f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
except Exception as e:
print(e, "\n")
def display_basic(coin_id: str, export: str) -> None:
"""Get basic information for coin. Like:
name, symbol, rank, type, description, platform, proof_type, contract, tags, parent. [Source: CoinPaprika]
Parameters
----------
coin_id: str
Identifier of coin for CoinPaprika API
export: str
Export dataframe data to csv,json,xlsx
"""
df = coinpaprika_model.basic_coin_info(coin_id)
if df.empty:
print("No data available\n")
return
if gtff.USE_TABULATE_DF:
print(
tabulate(
df,
headers=df.columns,
floatfmt=".0f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
else:
print(df.to_string, "\n")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"basic",
df,
)