I'm trying to have NS display if the number of data points for each industry per quarter is less then 4.
Here is my data source:
print df
IndustryGroup Year_ Quarter TotalRaisedUSD
Healthcare 2014_ 1 79.30000
Consumer Services 2014_ 1 111.25000
Information Technology 2014_ 1 232.00000
Healthcare 2014_ 1 113.90000
Healthcare 2014_ 1 121.11000
Healthcare 2014_ 1 108.76000
Healthcare 2014_ 1 58.64000
Healthcare 2014_ 1 120.07000
Healthcare 2014_ 1 81.76000
Healthcare 2014_ 1 28.40000
Healthcare 2014_ 1 76.63000
Healthcare 2014_ 1 74.96217
Healthcare 2014_ 1 57.86000
Healthcare 2014_ 1 220.23000
... ... ... ...
Healthcare 2014_ 4 109.70000
Consumer Services 2014_ 4 358.50000
Healthcare 2014_ 4 115.00000
Information Technology 2014_ 4 168.05000
Business and Financial Services 2014_ 4 100.66000
Healthcare 2014_ 4 72.09000
Healthcare 2014_ 4 129.67000
Healthcare 2014_ 4 151.00000
Healthcare 2014_ 4 123.28000
Healthcare 2014_ 4 153.85000
Business and Financial Services 2014_ 4 47.41000
Healthcare 2014_ 4 35.34000
Healthcare 2014_ 4 206.50000
Healthcare 2014_ 4 31.00000
Healthcare 2014_ 4 68.09000
Healthcare 2014_ 4 122.02000
Business and Financial Services 2014_ 4 193.22000
Information Technology 2014_ 4 254.34000
Information Technology 2014_ 4 196.50000
df1=pd.pivot_table(df,values='TotalRaisedUSD',index='IndustryGroup',columns=['Year_','Quarter'], np.median)
I need the same df1 output but displaying "NS" if the count of TotalRaisedUSD is less than 4 (For example Information Technology 2014_ 4 should display NS)
[108 rows x 4 columns]
Year_ 2014_
Quarter 1 2 3 4
IndustryGroup
Business and Financial Services 49.73 71.275 38.00 100.66
Consumer Services 111.25 165.600 NaN 358.50
Healthcare 87.10 82.335 84.53 118.51
Industrial Goods and Materials NaN 144.490 NaN NaN
Information Technology 82.13 68.000 55.93 196.50
Any ideas?
Thanks!!