Circumstance

WSL2
Docker
Virtualenv
Python 3.8.16
- jupyterlab 3.5.2
- numpy 1.24.1
- prophet 1.1.1
- fbprophet 0.7.1
- Cython 0.29.33
- ipython 8.8.0
- pmdarima 2.0.2
- plotly 5.11.0
- pip 22.3.1
- pystan 2.19.1.1
- scikit-learn 1.2.0
- konlpy 0.6.0 (just in the case)
- nodejs 0.1.1 (just in the case)
- pandas 1.5.2 (just in the case)

Error

main error message

AttributeError: module 'numpy' has no attribute 'float'

entire error message

INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[33], line 4
      1 # Prophet() 모델을 읽어와서 
      2 # fit로 학습한다.
      3 model_revenue = Prophet()
----> 4 model_revenue.fit(revenue_serial)

File /home/.venv/lib/python3.8/site-packages/fbprophet/forecaster.py:1115, in Prophet.fit(self, df, **kwargs)
   1112 self.history = history
   1113 self.set_auto_seasonalities()
   1114 seasonal_features, prior_scales, component_cols, modes = (
-> 1115     self.make_all_seasonality_features(history))
   1116 self.train_component_cols = component_cols
   1117 self.component_modes = modes

File /home/.venv/lib/python3.8/site-packages/fbprophet/forecaster.py:765, in Prophet.make_all_seasonality_features(self, df)
    763 # Seasonality features
    764 for name, props in self.seasonalities.items():
--> 765     features = self.make_seasonality_features(
    766         df['ds'],
    767         props['period'],
    768         props['fourier_order'],
    769         name,
    770     )
    771     if props['condition_name'] is not None:
    772         features[~df[props['condition_name']]] = 0

File /home/.venv/lib/python3.8/site-packages/fbprophet/forecaster.py:458, in Prophet.make_seasonality_features(cls, dates, period, series_order, prefix)
    442 @classmethod
    443 def make_seasonality_features(cls, dates, period, series_order, prefix):
    444     """Data frame with seasonality features.
    445 
    446     Parameters
   (...)
    456     pd.DataFrame with seasonality features.
    457     """
--> 458     features = cls.fourier_series(dates, period, series_order)
    459     columns = [
    460         '{}_delim_{}'.format(prefix, i   1)
    461         for i in range(features.shape[1])
    462     ]
    463     return pd.DataFrame(features, columns=columns)

File /home/.venv/lib/python3.8/site-packages/fbprophet/forecaster.py:434, in Prophet.fourier_series(dates, period, series_order)
    417 """Provides Fourier series components with the specified frequency
    418 and order.
    419 
   (...)
    428 Matrix with seasonality features.
    429 """
    430 # convert to days since epoch
    431 t = np.array(
    432     (dates - datetime(1970, 1, 1))
    433         .dt.total_seconds()
--> 434         .astype(np.float)
    435 ) / (3600 * 24.)
    436 return np.column_stack([
    437     fun((2.0 * (i   1) * np.pi * t / period))
    438     for i in range(series_order)
    439     for fun in (np.sin, np.cos)
    440 ])

File /home/.venv/lib/python3.8/site-packages/numpy/__init__.py:284, in __getattr__(attr)
    281     from .testing import Tester
    282     return Tester
--> 284 raise AttributeError("module {!r} has no attribute "
    285                      "{!r}".format(__name__, attr))

AttributeError: module 'numpy' has no attribute 'float'

Example of dataset

    ds                  y
0   2022-09-01 13:00:00 762
1   2022-09-01 15:00:00 746
2   2022-09-01 17:00:00 848
3   2022-09-01 19:00:00 866
4   2022-09-01 21:00:00 632
... ... ...
1881    2022-10-31 13:00:00 684
1882    2022-10-31 15:00:00 749
1883    2022-10-31 17:00:00 779
1884    2022-10-31 19:00:00 573
1885    2022-10-31 21:00:00 510

Type of variable

visitors_serial

ds    datetime64[ns]
y              int64
dtype: object

Short code

...

revenue_serial = pd.DataFrame(pd.to_datetime(df_active_time['START_DATE'], format="%Y%m%d %H:%M:%S"))
revenue_serial['객단가(원)']=df_active_time['객단가(원)']

revenue_serial = revenue_serial.reset_index(drop= True)
revenue_serial = revenue_serial.rename(columns={'START_DATE':'ds', '객단가(원)':'y'})

model_revenue = Prophet().
model_revenue.fit(revenue_serial)

I expected if I do upgrade the version of numpy module, it would be solved. It doesn't happend to solve

CodePudding user response：

you could see it in your code the error numpy actually has no attribute float your code is t = np.array((dates - datetime(1970, 1, 1)).dt.total_seconds().astype(np.float) it should be

 t = np.array(
   (dates - datetime(1970, 1, 1))
       .dt.total_seconds()
        .astype(np.float32)

CodePudding user response：

The alias numpy.float was deprecated in NumPy 1.20 and was removed in NumPy 1.24.

You can change it to numpy.float_, numpy.float64, or numpy.double. They all mean the same thing.

For your dependency prophet, the actual issue was already fixed in #1850 (March 2021), and it does appear to be fixed in v1.1.1 so it looks like you're not running the version you think you are.