def header_data_to_thrift_struct(rows, cols, dtypes, col_bounds, col_to_format,
df, dim):
array_headers = ArrayHeaders()
col_headers = []
for col in range(cols):
col_label = get_label(df.axes[1].values[col]) if dim > 1 else str(col)
bounds = col_bounds[col]
col_format = "%" + col_to_format(col)
col_header = ColHeader()
# col_header.index = col
col_header.label = col_label
col_header.type = dtypes[col]
col_header.format = col_to_format(col)
col_header.max = col_format % bounds[1]
col_header.min = col_format % bounds[0]
col_headers.append(col_header)
row_headers = []
for row in range(rows):
row_header = RowHeader()
row_header.index = row
row_header.label = get_label(df.axes[0].values[row])
row_headers.append(row_header)
array_headers.colHeaders = col_headers
array_headers.rowHeaders = row_headers
return array_headers
def header_data_to_thrift_struct(rows, cols, dtypes, col_bounds, col_to_format, df, dim):
array_headers = ArrayHeaders()
col_headers = []
for col in range(cols):
col_label = get_label(df.axes[1].values[col]) if dim > 1 else str(col)
bounds = col_bounds[col]
col_format = "%" + col_to_format(col)
col_header = ColHeader()
# col_header.index = col
col_header.label = col_label
col_header.type = dtypes[col]
col_header.format = col_to_format(col)
col_header.max = col_format % bounds[1]
col_header.min = col_format % bounds[0]
col_headers.append(col_header)
row_headers = []
for row in range(rows):
row_header = RowHeader()
row_header.index = row
row_header.label = get_label(df.axes[0].values[row])
row_headers.append(row_header)
array_headers.colHeaders = col_headers
array_headers.rowHeaders = row_headers
return array_headers