Fixing detection of formats list in SpMV benchmark results processing script.

   name = name.replace('>','')

   return name

####

# Extract all formats

def get_formats( input_df ):

   matrixName = input_df.iloc[0]['matrix name']

   df_matrix = input_df.loc[input_df['matrix name'] == matrixName]

   formats = df_matrix.loc[:,'format'].values.tolist() # Get format names - TODO: the first benchmark might not have all of them

   formats = list(dict.fromkeys(formats))              # remove duplicates

   formats.append('TNL Best')

   return formats

####

# Create multiindex for columns

def get_multiindex( input_df, formats ):

def compute_speedup( df, formats ):

   compute_cusparse_speedup( df, formats )

   compute_csr_light_speedup( df )

   #compute_csr_light_speedup( df )

   compute_binary_speedup( df, formats )

   compute_symmetric_speedup( df, formats )

input_df = json_normalize( d, record_path=['results'] )

#input_df.to_html( "orig-pandas.html" )

formats = get_formats( input_df )

formats = list(set( input_df['format'].values.tolist() )) # list of all formats in the benchmark results

formats.append('TNL Best')

multicolumns, df_data = get_multiindex( input_df, formats )

print( "Converting data..." )