Updated Sava parser
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15
parse.py
15
parse.py
@ -45,16 +45,17 @@ def parse_infond():
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df = df.filter(['SKLAD', 'VEP'])
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df = df.filter(['SKLAD', 'VEP'])
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# Cleanup the "SKLAD" name
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# Cleanup the "SKLAD" name
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a = df.at[23,'SKLAD']
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a = df.at[11,'SKLAD']
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df.at[23,'SKLAD'] = a.split()[0]+' '+a.split()[1]
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df.at[11,'SKLAD'] = a.split()[0]+' '+a.split()[1]
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df.at[23,'VEP'] = a.split()[2]
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df.at[11,'VEP'] = a.split()[2]
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a = df.at[15,'SKLAD']
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a = df.at[19,'SKLAD']
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df.at[15,'SKLAD'] = a.split()[0]+' '+a.split()[1]
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df.at[19,'SKLAD'] = a.split()[0]+' '+a.split()[1]+' '+a.split()[2]
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df.at[15,'VEP'] = a.split()[2]
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df.at[19,'VEP'] = a.split()[3]
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# Drop all rows except the ones we want
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# Drop all rows except the ones we want
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return df[(df["SKLAD"]=="Infond Defensive") | (df["SKLAD"] =="Infond Technology") ]
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#return df[(df["SKLAD"]=="Infond Defensive") | (df["SKLAD"] =="Infond Technology") ]
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return df[(df["SKLAD"]=="Infond Globalni defenzivni") | (df["SKLAD"] =="Infond Tehnologija") ]
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###############################################################################
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###############################################################################
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