Downsample variable and interpolate NaN in Python

Question

Question is

import pandas as pd
dataFrame = pd.read_csv('dow_jones_index.data',parse_dates=["date"], index_col="date")
dataFrame.head()

closeTS = dataFrame[(dataFrame.stock == 'AA')].close.str.replace('$',' ').astype(float)

downsample the data filtered in the above step day wise and perform interpolation to forward fill the first two 'NaN' values. return the first 10 samples of downsampled data to variable 'downsample'

I tried the below

downsample1 = closeTS.resample('D', fill_method='ffill')
downsample = downsample1.interpolate(method='linear',limit=None,limit_direction='forward')
print(downsample.head(10))

however above code does not seem to work

Answer 1

Try this:

downsample = closeTS.resample('D', fill_method='ffill', limit=2).head(10)