s430705/ium_430705
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Zaktualizuj 'script2.py'

Browse Source
This commit is contained in:
Michał Zaręba 2021-05-10 13:56:59 +02:00
parent a2d87764dc
commit 35a8a21b58
1 changed files with 18 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
script2.py
View File

@ -21,15 +21,26 @@ movies_data.dropna(inplace=True)
# Remove not interesting columns
drop_columns = ["title_id", "certificate", "title", "plot"]
drop_columns2 = [
"original_title",
"countries",
"genres",
"director",
"cast",
"release_date",
]
drop_columns = drop_columns + drop_columns2
movies_data.drop(labels=drop_columns, axis=1, inplace=True)
# Normalize data, lowercase str
for column_name in ["original_title", "countries", "genres", "director", "cast"]:
movies_data[column_name] = (
movies_data[column_name]
.str.translate(str.maketrans("", "", string.punctuation))
.str.lower()
)
# for column_name in ["original_title", "countries", "genres", "director", "cast"]:
# movies_data[column_name] = (
# movies_data[column_name]
# .str.translate(str.maketrans("", "", string.punctuation))
# .str.lower()
# )
# Remove ',' from votes number and change type to int
movies_data["votes_number"] = (movies_data["votes_number"].str.replace(",", "")).astype(
@ -42,17 +53,9 @@ movies_data[["votes_number", "year", "runtime"]] = scaler.fit_transform(
movies_data[["votes_number", "year", "runtime"]]
)
drop_columns = [
"original_title",
"countries",
"genres",
"director",
"cast",
"release_date",
]
movies_data.drop(labels=drop_columns, axis=1, inplace=True)
#movies_data.drop(labels=drop_columns, axis=1, inplace=True)
# Split set to train/dev/test 6:2:2 ratio and save to .csv file
train, dev = train_test_split(movies_data, train_size=0.6, test_size=0.4, shuffle=True)