93727399ff702843b13bcc6f59f981a6ab21f2e5
python3/joblib/delayed\343\201\256\351\226\242\346\225\260\345\206\205\343\201\213\343\202\211Plotly\343\201\256fig\343\202\222\350\277\224\343\201\231\343\201\250\351\201\205\343\201\204.md
... | ... | @@ -7,7 +7,7 @@ from joblib import Parallel, delayed |
7 | 7 | import plotly.express as px |
8 | 8 | |
9 | 9 | |
10 | -def some_function(df: DataFrame, column_name: str): |
|
10 | +def generate_fig(df: DataFrame, column_name: str): |
|
11 | 11 | fig = px.scatter( |
12 | 12 | df, |
13 | 13 | x=df.index, |
... | ... | @@ -20,7 +20,7 @@ if __name__ == '__main__': |
20 | 20 | df = DataFrame() #indexがdatetimeなDataFrame |
21 | 21 | column_name_list = ['hoge', 'fuga', '...'] #indexと共に散布図を作りたいカラム名 |
22 | 22 | |
23 | - figs = Parallel(n_jobs=10)(delayed(some_function)( |
|
23 | + figs = Parallel(n_jobs=10)(delayed(generate_fig)( |
|
24 | 24 | df=df, |
25 | 25 | column_name=column_name, |
26 | 26 | ) for column_name in column_name_list) |