Jul-30-2020, 10:27 PM
Hello everyone,
New to python and I'm sure this is not probably that hard but I have not found a way to do this in my searching. Ways I have found that I think might work are giving me errors.
Current output show...
[893 rows x 2 columns]>
sync call spend: 0.20111417770385742
<bound method DataFrame.to_numpy of symbol price
0 ETHBTC 0.03039100
1 LTCBTC 0.00516300
2 BNBBTC 0.00179920
3 NEOBTC 0.00106300
4 QTUMETH 0.00708300
.. ... ...
888 ZRXBUSD 0.39120000
889 DCRUSDT 15.50600000
890 STORJUSDT 0.19190000
891 XRPBKRW 283.57000000
892 ADABKRW 166.58000000
So again, I would like to be able to grab each value in each column in order to work with them.
Thanks in advance for any help.
Jeff
New to python and I'm sure this is not probably that hard but I have not found a way to do this in my searching. Ways I have found that I think might work are giving me errors.
while 1 == 1: tic = time.time() prices = client.get_all_tickers() df = pd.DataFrame(prices) dn = df.to_numpy print(dn) tic2 = time.time() - tic print("sync call spend:", tic2) time.sleep(2 - tic2)I simply would like to create 2 variables (1 for each column) to store the values so I can work with them using the dn[1,1] type format to pull each value.
Current output show...
[893 rows x 2 columns]>
sync call spend: 0.20111417770385742
<bound method DataFrame.to_numpy of symbol price
0 ETHBTC 0.03039100
1 LTCBTC 0.00516300
2 BNBBTC 0.00179920
3 NEOBTC 0.00106300
4 QTUMETH 0.00708300
.. ... ...
888 ZRXBUSD 0.39120000
889 DCRUSDT 15.50600000
890 STORJUSDT 0.19190000
891 XRPBKRW 283.57000000
892 ADABKRW 166.58000000
So again, I would like to be able to grab each value in each column in order to work with them.
Thanks in advance for any help.
Jeff