def create_condit_dict(self):
"""takes pmap_path, opens it and turns it into condit_dict (conditions dict)"""
# open plate map and get headings
pmap_rows = mia.csv_to_arr(self.pmap_path)
col_headings = pmap_rows[0][1:]
del pmap_rows[0]
pmap_cols = mia.rotate(pmap_rows)
row_headings = pmap_cols[0]
del pmap_cols[0]
pmap_cols = delete_empty_arrs(pmap_cols, col_headings, blank='')
pmap_rows = mia.rotate(pmap_cols)
pmap_rows = delete_empty_arrs(pmap_rows, row_headings, blank='')
pmap_cols = mia.rotate(pmap_rows)
# make dict keys
condit_dict = {}
for row in pmap_rows:
for item in row:
condit_dict[item] = []
# put in values
for r in range(len(pmap_rows)):
for c in range(len(pmap_rows[r])):
well_name = (row_headings[r] + double_digits(col_headings[c]))
condit_dict[pmap_rows[r][c]].append(well_name)
self.pmap_rows = pmap_rows
self.condit_index = sorted(condit_dict.keys())
return condit_dict
def __init__(self, condition, name) :
""" well constructor """
self.condition = condition
self.plate = self.condition.plate
self.name = name
self.path = (self.plate.path + self.plate.name
+ "_" + self.name + ".csv")
self.rows = mia.csv_to_arr(self.path)
for i, item in enumerate(self.rows[0]):
self.rows[0][i] = spec_encode(item)
self.col_headings = self.rows[0]
del self.rows[0]
self.cols = mia.rotate(self.rows)
self.cell_col_h = "Track n°"
self.cell_col_h = spec_encode(self.cell_col_h)
self.make_cells()