I have the following df2:
df2
Out[94]:
Symbols ADANIPORTS.NS ASIANPAINT.NS ... WIPRO.NS ZEEL.NS
Date ...
2015-06-15 NaN NaN ... NaN NaN
2015-06-16 0.010160 0.009162 ... -0.001109 0.016949
2015-06-17 -0.007024 0.008086 ... 0.011564 0.017681
2015-06-18 0.000000 0.025751 ... 0.017477 -0.011678
2015-06-19 -0.020579 0.015159 ... 0.009797 -0.019885
... ... ... ... ...
2020-06-04 -0.001031 -0.048236 ... 0.023184 0.050588
2020-06-05 0.005749 0.002938 ... 0.011561 0.002918
2020-06-08 0.006302 -0.002624 ... 0.035200 -0.044374
2020-06-09 0.008010 0.004773 ... -0.035769 -0.023598
2020-06-10 0.001445 -0.003715 ... -0.006183 -0.013513
[1226 rows x 50 columns]
How can i get the number of Symbols each day which were above .050 ?
You use df.gt with sum over axis 1.
df2.gt(0.5).sum(1)