Styjun

hi i have long code maybe if you wanna check it out tell me, so im trying to solve this and I'm pretty sure the code is right but it keeps getting me the same error, i try everything to solve it but its the same i checked if the attribute missing but its there i don't know what i have done wrong
this is my code

import pandas as pd
import geopandas as gpd
import time
import pickle
import os
import numpy as np
import xgboost
import pytz
import arcgis
#
#plotting
#'''
from IPython.display import HTML, display
import datashader as ds
from datashader import transfer_functions as tf
from datashader.colors import colormap_select, Greys9, Hot, viridis, inferno
#'''

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.ticker import NullFormatter
import matplotlib as mpl
mpl.rc('xtick', color='k')
mpl.rc('ytick', color='k')
%matplotlib inline
#'''
import datetime
from pandas import Series
from datetime import datetime, timedelta
import time
from datetime import datetime, date, time, timedelta


predTimest = pd.date_range('01/06/2017', periods=7*24, freq='H',tz='US/Mountain')
predTimest
n [28]:


predTimest


Out[28]:
DatetimeIndex(['2017-01-06 00:00:00-07:00', '2017-01-06 01:00:00-07:00',
 '2017-01-06 02:00:00-07:00', '2017-01-06 03:00:00-07:00',
 '2017-01-06 04:00:00-07:00', '2017-01-06 05:00:00-07:00',
 '2017-01-06 06:00:00-07:00', '2017-01-06 07:00:00-07:00',
 '2017-01-06 08:00:00-07:00', '2017-01-06 09:00:00-07:00',
 ...
 '2017-01-12 14:00:00-07:00', '2017-01-12 15:00:00-07:00',
 '2017-01-12 16:00:00-07:00', '2017-01-12 17:00:00-07:00',
 '2017-01-12 18:00:00-07:00', '2017-01-12 19:00:00-07:00',
 '2017-01-12 20:00:00-07:00', '2017-01-12 21:00:00-07:00',
 '2017-01-12 22:00:00-07:00', '2017-01-12 23:00:00-07:00'],
 dtype='datetime64[ns, US/Mountain]', length=168, freq='H')
prediction_time = predTimest[15]
test_df = shapefile.copy()
test_df['timestamp'] = prediction_time
test_df['allah1__27'] = shapefile.allah1__27.astype('int64')
test_df['hour'] = prediction_time.hour
test_df['weekday'] = prediction_time.weekday()
test_df['month'] = prediction_time.month
def add_join_key(df):
 df['join_key'] = df.allah1__27.map(int).map(str)+df.timestamp.map(datetime.datetime.isoformat)
 df = df.set_index('join_key')
 return df
weath_df = wdf.loc[prediction_time]
test_df = add_join_key(test_df)
weath_df = add_join_key(weath_df.reset_index())

and it give me this error

---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-65-4714b1ff587e> in <module>
----> 1 test_df = add_join_key(test_df)
 2 weath_df = add_join_key(weath_df.reset_index())

<ipython-input-63-1a4e6a6f2c07> in add_join_key(df)
 1 def add_join_key(df):
----> 2 df['join_key'] = df.allah1__27.map(int).map(str)+df.timestamp.map(datetime.datetime.isoformat)
 3 df = df.set_index('join_key')
 4 return df

AttributeError: type object 'datetime.datetime' has no attribute 'datetime'

You have imported datetime twice at the top of your script with the last import taking precedence:

import datetime
from datetime import datetime, timedelta

Therefore you should be calling:

datetime.isoformat

You should not import datetime and also from datetime import datetime. Best practice would be to just import datetime and then if you want the deeper module call datetime.datetime otherwise you are creating two things with the exact same name...obviously this would lead to confusion. If you really want to import both then rename one like

import datetime
from datetime import datetime as datet

Now you can refer to one as datetime and the other as datet instead of having both of them refer to the same name "datetime"