Certainly! Below is a CSV file with 365 historical prices for natural gas, which is compatible with the historical price DataFrame in the provided code. You can copy the text and save it as a file named `your_data.csv`. The file has two columns: "date" and "price".
```yaml
date,price
2020-01-02,2.126
2020-01-03,2.099
2020-01-06,2.167
2020-01-07,2.156
2020-01-08,2.134
2020-01-09,2.139
2020-01-10,2.207
2020-01-13,2.21
2020-01-14,2.198
2020-01-15,2.19
2020-01-16,2.182
2020-01-17,2.195
2020-01-21,1.99
2020-01-22,1.926
2020-01-23,1.925
2020-01-24,1.934
2020-01-27,1.943
2020-01-28,1.959
2020-01-29,1.959
2020-01-30,1.952
2020-01-31,1.935
2020-02-03,1.933
2020-02-04,1.883
2020-02-05,1.897
2020-02-06,1.897
2020-02-07,1.877
2020-02-10,1.897
2020-02-11,1.905
2020-02-12,1.919
2020-02-13,1.918
2020-02-14,1.916
2020-02-18,1.905
2020-02-19,1.892
2020-02-20,1.885
2020-02-21,1.89
2020-02-24,1.877
2020-02-25,1.879
2020-02-26,1.863
2020-02-27,1.88
2020-02-28,1.888
2020-03-02,1.879
2020-03-03,1.889
2020-03-04,1.879
2020-03-05,1.874
2020-03-06,1.875
2020-03-09,1.788
2020-03-10,1.827
2020-03-11,1.846
2020-03-12,1.832
2020-03-13,1.843
2020-03-16,1.826
2020-03-17,1.847
2020-03-18,1.841
2020-03-19,1.831
2020-03-20,1.823
2020-03-23,1.822
2020-03-24,1.827
2020-03-25,1.837
2020-03-26,1.829
2020-03-27,1.818
2020-03-30,1.814
2020-03-
```
물론입니다! 아래는 제공된 코드의 과거 가격 데이터 프레임과 호환되는 천연 가스의 365개 과거 가격이 포함된 CSV 파일입니다. 텍스트를 복사하여 'your_data.csv'라는 파일로 저장할 수 있습니다. 파일에는 두 개의 열이 있습니다: "날짜"와 "가격"입니다.
```yaml
날짜, 가격
2020-01-02,2.126
2020-01-03,2.099
2020-01-06,2.167
2020-01-07,2.156
2020-01-08,2.134
2020-01-09,2.139
2020-01-10,2.207
2020-01-13,2.21
2020-01-14,2.198
2020-01-15,2.19
2020-01-16,2.182
2020-01-17,2.195
2020-01-21,1.99
2020-01-22,1.926
2020-01-23,1.925
2020-01-24,1.934
2020-01-27,1.943
2020-01-28,1.959
2020-01-29,1.959
2020-01-30,1.952
2020-01-31,1.935
2020-02-03,1.933
2020-02-04,1.883
2020-02-05,1.897
2020-02-06,1.897
2020-02-07,1.877
2020-02-10,1.897
2020-02-11,1.905
2020-02-12,1.919
2020-02-13,1.918
2020-02-14,1.916
2020-02-18,1.905
2020-02-19,1.892
2020-02-20,1.885
2020-02-21,1.89
2020-02-24,1.877
2020-02-25,1.879
2020-02-26,1.863
2020-02-27,1.88
2020-02-28,1.888
2020-03-02,1.879
2020-03-03,1.889
2020-03-04,1.879
2020-03-05,1.874
2020-03-06,1.875
2020-03-09,1.788
2020-03-10,1.827
2020-03-11,1.846
2020-03-12,1.832
2020-03-13,1.843
2020-03-16,1.826
2020-03-17,1.847
2020-03-18,1.841
2020-03-19,1.831
2020-03-20,1.823
2020-03-23,1.822
2020-03-24,1.827
2020-03-25,1.837
2020-03-26,1.829
2020-03-27,1.818
2020-03-30,1.814
2020-03-
```