Pythonの：tqdm

Question

を使用してトラックジョブの進捗状況、私は仕事の進捗状況を追跡するには、次のコードを使用しています：

from tqdm import tqdm, tqdm_pandas 
tqdm.pandas(tqdm()) 

my_df['target'] = my_df.progress_apply(lambda x: my_fun(x), axis = 1) 

その後のコードは以下のような追跡の進行状況を提供します。

0%|   | 0/5 [00:00<?, ?it/s] 
20%|██  | 1/5 [00:06<00:26, 6.62s/it] 
215it [00:06, 4.63s/it]      
1062it [00:06, 3.24s/it] 
1976it [00:06, 2.27s/it] 
2893it [00:07, 1.59s/it] 
3811it [00:07, 1.11s/it] 
4720it [00:07, 1.28it/s] 
5650it [00:07, 1.83it/s] 
6585it [00:07, 2.62it/s] 
7520it [00:07, 3.74it/s] 
8444it [00:07, 5.35it/s] 
9378it [00:07, 7.64it/s] 
10311it [00:07, 10.90it/s] 
11218it [00:07, 15.57it/s] 
12111it [00:08, 22.22it/s] 
13004it [00:08, 31.70it/s] 
13832it [00:08, 45.20it/s] 
14618it [00:08, 64.36it/s] 
15404it [00:08, 91.62it/s] 
16149it [00:08, 129.91it/s] 
16870it [00:08, 184.16it/s] 
17560it [00:08, 259.28it/s] 
18315it [00:08, 365.02it/s] 
19162it [00:09, 512.00it/s] 
19891it [00:09, 706.09it/s] 
     : 
     : 

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私は1秒間に10回出力するのではなく、5秒ごとに情報を出力することができますか？どうもありがとう！

Answer 1

はい、ちょうどmininterval引数を使用します。

tqdm.pandas(tqdm, mininterval=5) 

を