import pandas as pd

getcatdict[source]

getcatdict(df, catcols=None, add_na=False)

df = pd.DataFrame({"cat1": [1, 2, 3, 4, 5], "cat2": ['a', 'b', 'c', 'b', 'a'], "cat3": ['A', 'B', 'C', 'D', 'A']})
df

	cat1	cat2	cat3
0	1	a	A
1	2	b	B
2	3	c	C
3	4	b	D
4	5	a	A

catdict = getcatdict(df)
catdict['cat2'] == ['a', 'b', 'c']

True

store_bson[source]

store_bson(path, data)

load_bson[source]

load_bson(path)

generate_files_embedprojector_for_comparision[source]

generate_files_embedprojector_for_comparision(model1_path, model2_path, dir_path)

Export