pandas concat and reset index
train_df = pd.concat(train_class_df_list, ignore_index=True)
pandas concat and reset index
train_df = pd.concat(train_class_df_list, ignore_index=True)
how to concat on the basis of particular columns in pandas
In [6]: result = pd.concat(frames, keys=['x', 'y', 'z'])
concat dataframe pandas
# provide list of dataframes
res = pd.concat([df1, df2])
concat 3 column in pandas
In[17]:df['combined']=df['bar'].astype(str)+'_'+df['foo']+'_'+df['new']
In[17]:df
Out[18]:
bar foo new combined
0 1 a apple 1_a_apple
1 2 b banana 2_b_banana
2 3 c pear 3_c_pear
dataframe concatenate
# Pandas for Python
df['col1 & col2'] = df['col1']+df['col2']
#Output
#col1 col2 col1 & col2
#A1 A2 A1A2
#B1 B2 B1B2
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