Getting Today High/Low and all times High price

[mrtozkl]

Hi!

I am trying to get todat high/low price and all times High price how can i do that with ticker ?

import pandas as pd
from poloniex import Poloniex
from time import time
polo = Poloniex()

df = pd.DataFrame(polo.returnChartData('USDT_BTC', period=86400, start=time()-polo.DAY))
print("Today High : %s" % df['high'])

I tried this but not working like what i want.

Thanks.

[s4w3d0ff]

df.iloc[-1] should give you the last row of the dataframe and df['high'].max() will give you the largest high within that dataframe.

So:

import pandas as pd
from poloniex import Poloniex
from time import time
polo = Poloniex()

# If you want the 'all time high' for a particular dataset, you will want more than 1 candle (I'm getting 3)
df = pd.DataFrame(polo.returnChartData('USDT_BTC', period=86400, start=time()-polo.DAY*3))

Here is my dataframe of 3 candles:

           close        date           high      low           open  \
0  4380.99999999  1502841600  4395.55499999     3926  4146.00000001   
1           4262  1502928000  4489.20999994     4180  4380.99999999   
2  4030.96000001  1503014400           4354  4028.11  4262.00000001   

      quoteVolume           volume weightedAverage  
0   9680.75941664  40427286.664403   4176.04496966  
1  10911.64942838  47385213.473242   4342.62608822  
2   8224.45277183  34815963.585895   4233.22554725  

Here are todays high and the highest of the 3 days:

print("Today High : %s" % str(df.iloc[-1]['high']))
# Today High : 4354

print('Largest High in dataframe : %s' % str(df['high'].max()))
# Largest High in dataframe : 4489.20999994

[mrtozkl]

Thanks its working very well

[Mantas779]

now = polo.returnTicker()[coin]['last'] btc = polo.returnTicker()["USDT_BTC"]['last'] bid = polo.returnTicker()[coin]['highestBid'] ask = polo.returnTicker()[coin]['lowestAsk'] 2017-08-18 21:22 GMT+02:00 s4w3d0ff <notifications@github.com>:

…

df.iloc[-1] should give you the last row of the dataframe and df['high'].max() will give you the largest high within that dataframe. So: import pandas as pdfrom poloniex import Poloniexfrom time import time polo = Poloniex() # If you want the 'all time high' for a particular dataset, you will want more than 1 candle (I'm getting 3) df = pd.DataFrame(polo.returnChartData('USDT_BTC', period=86400, start=time()-polo.DAY*3)) Here is my dataframe of 3 candles: close date high low open \ 0 4380.99999999 1502841600 4395.55499999 3926 4146.00000001 1 4262 1502928000 4489.20999994 4180 4380.99999999 2 4030.96000001 1503014400 4354 4028.11 4262.00000001 quoteVolume volume weightedAverage 0 9680.75941664 40427286.664403 4176.04496966 1 10911.64942838 47385213.473242 4342.62608822 2 8224.45277183 34815963.585895 4233.22554725 Here are todays high and the highest of the 3 days: print("Today High : %s" % str(df.iloc[-1]['high']))# Today High : 4354 print('Largest High in dataframe : %s' % str(df['high'].max()))# Largest High in dataframe : 4489.20999994 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <https://github.com/s4w3d0ff/python-poloniex/issues/156#issuecomment-323439881>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AQ4TJuuVegj2XC4bX7JGVakxTDFpwuDPks5sZeR6gaJpZM4O757i> .

-- Greetings Mantas