def user_summary(self, users, round1=61, round2=None):
"Summary report on user(s)"
nmr_usd = nx.token_price_data(ticker='nmr')['price']
if nx.isstring(users):
users = [users]
df = user_summary(self.lb[round1:round2], users, nmr_usd)
return df
def earn(self, round1=61, round2=None, ntop=None, use_ints=True):
"Earnings report"
nmr_usd = nx.token_price_data(ticker='nmr')['price']
df = earn(self.lb[round1:round2], nmr_usd)
df = ntopify(df, ntop)
if use_ints:
df = df.round()
cols = [
'usd_main', 'usd_stake', 'nmr_main', 'nmr_stake', 'nmr_burn',
'profit_usd'
]
df[cols] = df[cols].astype(int)
return df
def stake(df):
"Earnings report of top stakers"
price = nx.token_price_data(ticker='nmr')['price']
t1 = df['round'].min()
t2 = df['round'].max()
fmt = "Top stake earners (R{} - R{}) at {:.2f} usd/nmr"
print(fmt.format(t1, t2, price))
df = df[['user', 'usd_stake', 'nmr_stake', 'nmr_burn']]
df = df.groupby('user').sum()
nmr = df['nmr_stake'] - df['nmr_burn']
df['profit_usd'] = df['usd_stake'] + price * nmr
df = df.sort_values('profit_usd', ascending=False)
df = df.round()
cols = ['usd_stake', 'nmr_stake', 'nmr_burn', 'profit_usd']
df[cols] = df[cols].astype(int)
return df
def top_stakers(round1=61, round2=None, ntop=20):
"Earnings report of top stakers"
price = nx.token_price_data(ticker='nmr')['price']
df = download_leaderboard(round1, round2)
t1 = df['round'].min()
t2 = df['round'].max()
fmt = "Top stake earners (R{} - R{}) at {:.2f} usd/nmr"
print(fmt.format(t1, t2, price))
df = df[['user', 'usd_stake', 'nmr_stake', 'nmr_burn']]
df = df.groupby('user').sum()
nmr = df['nmr_stake'] - df['nmr_burn']
df['profit_usd'] = df['usd_stake'] + price * nmr
df = df.sort_values('profit_usd', ascending=False)
if ntop < 0:
df = df[ntop:]
else:
df = df[:ntop]
df = df.round()
cols = ['usd_stake', 'nmr_stake', 'nmr_burn', 'profit_usd']
df[cols] = df[cols].astype(int)
print(df)
def top_earners(round1, round2=None, tournament=1, ntop=20):
"Report on top earners"
price = nx.token_price_data(ticker='nmr')['price']
df = download_leaderboard(round1, round2, tournament=tournament)
t1 = df['round'].min()
t2 = df['round'].max()
fmt = "Top earners (R{} - R{}) at {:.2f} usd/nmr"
print(fmt.format(t1, t2, price))
df = df.drop('round', axis=1)
df = df.groupby('user').sum()
profit = df['usd_main'] + df['usd_stake']
nmr = df['nmr_main'] + df['nmr_stake'] - df['nmr_burn']
profit += price * nmr
df['profit_usd'] = profit
df = df.sort_values('profit_usd', ascending=False)
if ntop < 0:
df = df[ntop:]
else:
df = df[:ntop]
df = df.round()
cols = ['usd_main', 'usd_stake', 'nmr_main', 'nmr_burn', 'profit_usd']
df[cols] = df[cols].astype(int)
print(df)
def single_stake_payout(self, round1=61, round2=None):
"Largest stake payouts"
nmr_usd = nx.token_price_data(ticker='nmr')['price']
df = single_stake_payout(self.lb[round1:round2], nmr_usd)
return df
def stake(self, round1=61, round2=None, ntop=None):
"Stake earnings report"
nmr_usd = nx.token_price_data(ticker='nmr')['price']
df = stake(self.lb[round1:round2], nmr_usd)
df = ntopify(df, ntop)
return df