def get_nft_of_the_day() -> pd.DataFrame:
"""Scrapes data about nft of the day. [Source: CoinGecko]
Returns
-------
pandas.DataFrame
metric, value
"""
url = "https://www.coingecko.com/en/nft"
try:
scraped_data = scrape_gecko_data(url)
except RetryError as e:
print(e)
return pd.DataFrame()
row = scraped_data.find("div", class_="tw-px-4 tw-py-5 sm:tw-p-6")
try:
*author, description, _ = clean_row(row)
if len(author) > 3:
author, description = author[:3], author[3]
except (ValueError, IndexError):
return pd.DataFrame()
df = (pd.Series({
"author": " ".join(author),
"desc": description,
"url": GECKO_BASE_URL + row.find("a")["href"],
"img": row.find("img")["src"],
}).to_frame().reset_index())
df.columns = ["Metric", "Value"]
df["Metric"] = df["Metric"].apply(
lambda x: replace_underscores_in_column_names(x)
if isinstance(x, str) else x)
df = wrap_text_in_df(df, w=100)
return df
def display_info(symbol: str, export: str) -> None:
"""Shows basic information about loaded coin. [Source: CoinGecko]
Parameters
----------
symbol : str
Cryptocurrency
export : str
Export dataframe data to csv,json,xlsx file
"""
coin = gecko.Coin(symbol)
df = wrap_text_in_df(coin.get_base_info, w=80)
print_rich_table(df,
headers=list(df.columns),
show_index=False,
title="Basic Coin Information")
console.print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"info",
df,
)
def display_info(coin: gecko.Coin, export: str) -> None:
"""Shows basic information about loaded coin. [Source: CoinGecko]
Parameters
----------
coin : gecko_coin.Coin
Cryptocurrency
export : str
Export dataframe data to csv,json,xlsx file
"""
df = wrap_text_in_df(coin.get_base_info, w=80)
if gtff.USE_TABULATE_DF:
print(
tabulate(
df,
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__)),
"info",
df,
)
def get_yield_farms() -> pd.DataFrame:
"""Scrapes yield farms data from "https://www.coingecko.com/en/yield-farming"
Returns
-------
pandas.DataFrame
Rank, Name, Pool, Audits, Collateral, Value Locked, Return Year, Return Hour
"""
columns = [
"Rank",
"Name",
"Pool",
"Audits",
"Collateral",
"Value_Locked",
"Return_Year",
]
url = "https://www.coingecko.com/en/yield-farming"
rows = scrape_gecko_data(url).find("tbody").find_all("tr")
results = []
for row in rows:
row_cleaned = clean_row(row)[:-2]
if " New" in row_cleaned: # find better way to fix it in future
row_cleaned.remove(" New")
if len(row_cleaned) == 7:
row_cleaned.insert(2, None)
(
rank,
name,
pool,
*others,
_,
value_locked,
apy1,
_, # hourly removed for most cases it's 0.00 so it doesn't bring any value for user
) = row_cleaned
auditors, collateral = collateral_auditors_parse(others)
auditors = ", ".join(aud.strip() for aud in auditors)
collateral = ", ".join(coll.strip() for coll in collateral)
results.append(
[
rank,
name,
pool,
auditors,
collateral,
value_locked,
apy1,
]
)
df = pd.DataFrame(results, columns=columns).replace({"": None})
for col in ["Return_Year"]:
df[col] = df[col].apply(
lambda x: x.replace(" Yearly", "") if isinstance(x, str) else x
)
df["Rank"] = df["Rank"].astype(int)
df = wrap_text_in_df(df, w=30)
return df
def info(coin: gecko.Coin, other_args: List[str]):
"""Shows basic information about loaded coin
Parameters
----------
coin : gecko_coin.Coin
Cryptocurrency
other_args : List[str]
argparse arguments
"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="info",
description="""
Shows basic information about loaded coin like:
Name, Symbol, Description, Market Cap, Public Interest, Supply, and Price related metrics
""",
)
try:
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
df = wrap_text_in_df(coin.base_info, w=80)
print(
tabulate(
df,
headers=df.columns,
floatfmt=".2f",
showindex=False,
tablefmt="fancy_grid",
),
"\n",
)
except SystemExit:
print("")
except Exception as e:
print(e, "\n")