I tried it on my own but showing me a error please help me in step 4 and step 6

import pandas as pd
dataFrame = pd.read_csv(‘dow_jones_index.data’,parse_dates=[“date”], index_col=“date”)
dataFrame.head()
#step 2
Run the below cell to filter the opening price related to stock ‘WMT’.The sample is returned to variable ‘open_WMT_Ts’

open_WMT_Ts = dataFrame[(dataFrame.stock == ‘WMT’)].open.str.replace(’$’,’ ').astype(float)

#step 3

  • from statsmodels import adfuller method
    from statsmodels.tsa.stattools import adfuller
    #step 4
  • perform stationarity check on WMT opening price using adfuller method and return the result to variable ‘tsResult’
    ###Start code here

tsResult =
###End code

#step 5
print(‘ADF Statistic: %f’ % tsResult[0])
print(‘p-value: %f’ % tsResult[1])
for key, value in tsResult[4].items():
print(’\t%s: %.3f’ % (key, value))

#step 6
ADF_stat =

step 7

from test_ts_wmt import values
values.save_ans1(ADF_stat)

Don’t expect us to guess what error you got.

Copy and paste the text of the FULL error traceback, starting with the line “Traceback”, and reply on this thread.

Don’t post a screenshot or a photo.

The original post is also missing a
label for Step 6.