Append values to pandas dataframe incrementally inside for loop

Question

I am trying to add rows to pandas dataframe incrementally inside the for loop.

My for loop is like below:

def print_values(cc):
    data = []
    for x in values[cc]:
        data.append(labels[x])
        # cc is a constant and data is a list. I need these values to be appended to a row in pandas dataframe.
        # Pandas dataframe structure is like follows: df=pd.DataFrame(columns = ['Index','Names'])
        print cc
        print data
        # This does not work - Not sure about the problem !!
        #df_clustercontents.loc['Cluster_Index'] = cc
        #df_clustercontents.loc['DatabaseNames'] = data 

        for x in range(0,10):
            print_values(x)

I need the values "cc" and "data" to be appended to the dataframe incrementally.

Any help would be really appreciated !!

Answer 1

You can use ,

...
print(cc)
print(data)
df_clustercontents.loc[len(df_clustercontents)]=[cc,data]
...