Replacing values of a column from another dataframe

Question

Hi have a dataframe with 10000+ rows which looks like this -

df = pd.DataFrame([[\'110\', \'Demand\', 2344, 30953], 
                   [\'111\', \'Supply\', 353         


        

Answer 1

Use DataFrame.update, but first create MultiIndex by Material and Title columns in both DataFrames:

df = df.set_index(['Material','Title'])
extra = extra.set_index(['Material','Title'])

df.update(extra)
df = df.astype(int).reset_index()
print (df)
  Material   Title  201950  201951
0      110  Demand    2344   30953
1      111  Supply      10  321312
2      112  Supply      20    2324
3      113  Demand   24345    4542
4      114  Supply      30  435623

Answer 2

You can try this:

extra.set_index(['Material','Title']).combine_first(df.set_index(['Material','Title'])).dropna().reset_index().astype(object) 

output:

  Material   Title 201950  201951
0      110  Demand   2344   30953
1      111  Supply     10  321312
2      112  Supply     20    2324
3      113  Demand  24345    4542
4      114  Supply     30  435623