fixed issue around data-types/casting misbehavior with pandas and missing values
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821cec8dd7
commit
3dde3bf4ef
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@ -168,6 +168,7 @@ class Components :
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df = args['reader']() if 'reader' in args else args['data']
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df = args['reader']() if 'reader' in args else args['data']
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if 'slice' in args and 'max_rows' in args['slice']:
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if 'slice' in args and 'max_rows' in args['slice']:
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max_rows = args['slice']['max_rows']
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max_rows = args['slice']['max_rows']
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if df.shape[0] > max_rows :
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if df.shape[0] > max_rows :
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print (".. slicing ")
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print (".. slicing ")
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@ -175,6 +176,7 @@ class Components :
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df = df.iloc[i]
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df = df.iloc[i]
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# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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# if partition != '' :
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# if partition != '' :
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# columns = args['columns']
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# columns = args['columns']
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@ -182,7 +184,7 @@ class Components :
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# df = pd.DataFrame(df[ int (partition) ],columns = columns)
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# df = pd.DataFrame(df[ int (partition) ],columns = columns)
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# max_rows = int(args['partition_max_rows']) if 'partition_max_rows' in args else 1000000
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# max_rows = int(args['partition_max_rows']) if 'partition_max_rows' in args else 1000000
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# N = np.divide(df.shape[0],max_rows).astype(int) + 1
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# N = np.divide(df.shape[0],max_rows).astype(int) + 1
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info = {"parition":int(partition),"gpu":_args["gpu"],"rows":int(df.shape[0]),"cols":int(df.shape[1]),"part_size":int(PART_SIZE)}
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info = {"parition":int(partition),"gpu":_args["gpu"],"rows":int(df.shape[0]),"cols":int(df.shape[1]),"space":df[args['columns'][0]].unique().size, "part_size":int(PART_SIZE)}
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logger.write({"module":"generate","action":"partition","input":info})
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logger.write({"module":"generate","action":"partition","input":info})
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_args['partition'] = int(partition)
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_args['partition'] = int(partition)
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_args['continuous']= args['continuous'] if 'continuous' in args else []
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_args['continuous']= args['continuous'] if 'continuous' in args else []
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@ -256,7 +258,7 @@ class Components :
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data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)
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data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)
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INSERT_FLAG = 'replace' if 'partition' not in args or 'segment' not in args else 'append'
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INSERT_FLAG = 'replace' if 'partition' not in args or 'segment' not in args else 'append'
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print (_args['data'].dtypes)
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_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000)
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_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000)
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Components.lock.release()
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Components.lock.release()
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_id = 'dataset'
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_id = 'dataset'
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