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https://github.com/shuuji3/tepco-forecast-api

šŸ’” Experiment to convert the TEPCO's irregular CSV files to the machine readable JSON files
https://github.com/shuuji3/tepco-forecast-api

api tepco

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šŸ’” Experiment to convert the TEPCO's irregular CSV files to the machine readable JSON files

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# tepco-forecast-api
šŸ’” Experiment to convert the TEPCO's irregular CSV files to the machine readable JSON files

## Example

```py
> ipython

In [1]: df=pd.read_json('http://shuuji3.xyz/tepco-forecast-api/api/today_results_per_5min.json')

In [2]: df[df['å½“ę—„å®Ÿēø¾(ļ¼•åˆ†é–“隔値)(äø‡kW)'].isna() == False]
Out[2]:
DATE TIME å½“ę—„å®Ÿēø¾(ļ¼•åˆ†é–“隔値)(äø‡kW) å¤Ŗ陽光ē™ŗ電実ēø¾(ļ¼•åˆ†é–“隔値)(äø‡kW)
0 2022-06-27 0:00 2846.0 0.0
1 2022-06-27 0:05 2836.0 0.0
2 2022-06-27 0:10 2803.0 0.0
3 2022-06-27 0:15 2784.0 0.0
4 2022-06-27 0:20 2770.0 0.0
.. ... ... ... ...
208 2022-06-27 17:20 4777.0 148.0
209 2022-06-27 17:25 4756.0 127.0
210 2022-06-27 17:30 4729.0 111.0
211 2022-06-27 17:35 4707.0 98.0
212 2022-06-27 17:40 4698.0 87.0

[213 rows x 4 columns]
```