如何在python中动态地将整数列值转换为分类或字符串列值？

Question

I have a column that has the values 1,2,3.... I need to change this value to Cluster_1, Cluster_2, Cluster_3... dynamically. My original table looks like below, where cluster_predicted is a column, containing integer value and I need to convert these numbers to cluster_0, cluster_1...

I have tried the below code

clustersDf['clusterDfCategorical'] = "Cluster_" + str(clustersDf['clusterDfCategorical'])

But this is giving me a very weird output as shown below.

Answer 1

import pandas as pd
df = pd.DataFrame()
df['cols']=[1,2,3,4,5]
df['vals']=['one','two','three','four','five']
df['cols'] =df['cols'].astype(str)
df['cols']= 'confuse_'+df['cols']
print(df)

try this , the string conversion is making the issue for you. One way to convert to string is to use astype