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AttributeError Traceback (most recent call last)
in
----> 1 ano_vane_data = mast.return_primary_ano_vane_data().dropna()
2 ano_vane_data.columns = ano_vane_data.columns.get_level_values('sensor')
3 energy_wind_roses = an.analysis.wind_rose.return_directional_energy_frequencies(ano_vane_data, ws_sensor=mast.primary_ano, dir_sensor=mast.primary_vane)
4 energy_wind_roses

~\Anaconda3\lib\site-packages\anemoi\mast.py in return_primary_ano_vane_data(self)
310 '''Returns a DataFrame of measured data from the primary anemometer and primary wind vane
311 '''
--> 312 ano_data = self.return_primary_ano_data()
313 vane_data = self.return_primary_vane_data()
314 return pd.concat([ano_data, vane_data], axis=1)

~\Anaconda3\lib\site-packages\anemoi\mast.py in return_primary_ano_data(self)
300 '''Returns a DataFrame of measured data from the primary anemomter
301 '''
--> 302 return self.return_sensor_data(sensors=self.primary_ano)
303
304 def return_primary_vane_data(self):

~\Anaconda3\lib\site-packages\anemoi\mast.py in return_sensor_data(self, sensors)
295 List of specific sensors from which to return data
296 '''
--> 297 return an.utils.mast_data.return_sensor_data(self.data, sensors=sensors)
298
299 def return_primary_ano_data(self):

AttributeError: module 'anemoi.utils.mast_data' has no attribute 'return_sensor_data'

Validate and test annual shear calculation and results between a list of sensors on a mast. Need to recreate the following within Plotly:

ImportError Traceback (most recent call last)
in
----> 1 import anemoi as an

~\Anaconda3\lib\site-packages\anemoi_init_.py in
12 import anemoi.analysis.correlate
13 import anemoi.analysis.shear
---> 14 import anemoi.plotting.plotting
15 import anemoi.plotting.correlate
16 import anemoi.plotting.shear

~\Anaconda3\lib\site-packages\anemoi\plotting\plotting.py in
3 import numpy as np
4
----> 5 import plotly.plotly as py
6 import plotly.graph_objs as go
7 import plotly.offline as offline

~\Anaconda3\lib\site-packages\plotly\plotly_init_.py in
2 from plotly_future import _chart_studio_error
3
----> 4 _chart_studio_error("plotly")

~\Anaconda3\lib\site-packages_plotly_future__init_.py in _chart_studio_error(submodule)
41
42 def _chart_studio_error(submodule):
---> 43 raise ImportError(
44 """
45 The plotly.{submodule} module is deprecated,

ImportError:
The plotly.plotly module is deprecated,
please install the chart-studio package and use the
chart_studio.plotly module instead.

When returning a list of operational projects in Padre .dropna() is filtering null values when projects are actually within the database.

Greetings, I'm just following the tutorial (https://coryjog.github.io/anemoi/docs_tutorial.html#), but can't create a MetMast.
Here is the code:
`mast_data = pd.DataFrame(index=pd.date_range('2017-01-01 00:00', '2017-01-01 01:00', freq='10T'),
data = np.random.rand(7,4),
columns=['SPD_58_N', 'SPD_48_N', 'SPD_38_N', 'DIR_56'])

mast = an.MetMast(data=mast_data,
name=1001,
lat=45.0,
lon=-90.0,
elev=100.0,
height=60,
primary_ano = 'SPD_58_N',
primary_vane = 'DIR_56')
print(mast)`

It just print the error:

`'---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
in ()
10 height=60,
11 primary_ano = 'SPD_58_N',
---> 12 primary_vane = 'DIR_56')
13 print(mast)

~/miniconda3/lib/python3.6/site-packages/anemoi/mast.py in init(self, data, name, lat, lon, elev, height, primary_ano, primary_vane, shear_sensors)
71 data.columns = an.utils.mast_data.remove_sensor_levels_from_mast_data_columns(data.columns)
72
---> 73 data.columns = an.utils.mast_data.add_sensor_levels_to_from_mast_data_columns(data.columns)
74 data = data.sort_index(axis=1)
75

~/miniconda3/lib/python3.6/site-packages/anemoi/utils/mast_data.py in add_sensor_levels_to_from_mast_data_columns(mast_data_columns)
47 mast_data_columns = remove_sensor_levels_from_mast_data_columns(mast_data_columns)
48
---> 49 sensors = pd.DataFrame(mast_data_columns.get_level_values('sensor'))
50 details = pd.Series(sensors.sensor).str.split('_', expand=True)
51 details.columns = ['type', 'height', 'orient', 'signal']

~/miniconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py in _get_level_values(self, level)
3169 """
3170
-> 3171 self._validate_index_level(level)
3172 return self
3173

~/miniconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py in _validate_index_level(self, level)
1956 elif level != self.name:
1957 raise KeyError('Level %s must be same as name (%s)' %
-> 1958 (level, self.name))
1959
1960 def _get_level_number(self, level):

KeyError: 'Level sensor must be same as name (None)'`