I have big pandas DataFrames with financial data. I have no problem adding and concatenating extra columns and DataFrames to my .h5 file.
The financial data is updated every minute, I need to add a row of data to all my existing tables inside my .h5 file every minute.
Here is what I have tried so far, but no matter what I do, it overwrites the .h5 file and doesn’t just add the data.
HDFStore:
save_hdf = HDFStore('test.h5')
ohlcv_candle.to_hdf('test.h5')
save_hdf.put('name_of_frame',ohlcv_candle, format='table', data_columns=True)
print(save_hdf['name_of_frame'])
In another way, I tried this, to_hdf:
tohlcv_candle.to_hdf('test.h5',key='this_is_a_key', mode='r+', format='t')
print(pd.read_hdf('test.h5', key='this_is_a_key'))
Here's what one of the DataFrames looks like after reading hhdf:
time open high low close volume PP
0 1505305260 3137.89 3147.15 3121.17 3146.94 6.205397 3138.420000
1 1505305320 3146.86 3159.99 3130.00 3159.88 8.935962 3149.956667
2 1505305380 3159.96 3160.00 3159.37 3159.66 4.524017 3159.676667
3 1505305440 3159.66 3175.51 3151.08 3175.51 8.717610 3167.366667
4 1505305500 3175.25 3175.53 3170.44 3175.53 3.187453 3173.833333
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P.S.