how to find the count of cell value and no of last continuous by pandas - python-3.x

Question

Data frame 1 have 3 week code, and data frame 2 have 4th week means last week code, now how to find the two columns , first is total no of cell count and no of last continuous cell

Answer 1

It's easier to get more information about the week codes by turning them into columns with truth values.
>>> df1
week1 week2 week3
0 bk mm xz
1 ck ij bk
2 ka xz zz
3 xz dk bv
4 ij mn ka
5 ik ik xy
6 bv ka xx
7 xy xx ck
8 mn ck ik
>>> df2
week4
0 ka
1 bk
2 ck
3 xy
4 xz
5 zz
6 ik
7 xx
8 bv
Start by joining your two DataFrames to bring all the weeks data together.
df = df1.join(df2)
Now gather all unique week codes and generate a list of codes for each week. We can then combine these in a new DataFrame.
codes = np.unique(df)
weeks = df.T.apply(list, axis=1)
d = {c: [(c in w) for w in weeks] for c in codes}
newDf = pd.DataFrame(data=d, index=weeks.index)
>>> newDf
bk bv ck dk ij ik ka mm mn xx xy xz zz
week1 True True True False True True True False True False True True False
week2 False False True True True True True True True True False True False
week3 True True True False False True True False False True True True True
week4 True True True False False True True False False True True True True
Now we can get total cell count easily and number of continuous cells using a neat 'cumsum' trick.
totals = newDf.sum()
continues = (newDf.cumsum() -
newDf.cumsum().where(~newDf).ffill().fillna(0)).iloc[-1]
Finally you can fill in your total columns in DataFrame #2, using the above as lookup tables.
df2['Total Number of cell'] = df2['week4'].apply(lambda code: totals[code])
df2['No. of time last continuous'] = df2['week4'].apply(
lambda code: continues[code]).astype(int)
results in
>>> df2
week4 Total Number of cell No. of time last continuous
0 ka 4 4
1 bk 3 2
2 ck 4 4
3 xy 3 2
4 xz 4 4
5 zz 2 2
6 ik 4 4
7 xx 3 3
8 bv 3 2