how to add a column to a pandas df
#using the insert function:
df.insert(location, column_name, list_of_values)
#example
df.insert(0, 'new_column', ['a','b','c'])
#explanation:
#put "new_column" as first column of the dataframe
#and puts 'a','b' and 'c' as values
#using array-like access:
df['new_column_name'] = value
#df stands for dataframeappend one column pandas dataframe
df1 = df1.join(df2[column])python push to dataframe pandas
df = pd.DataFrame({
'a':[1,2,3],
'b':[5,6,7]
})
df2 = pd.DataFrame({
'a':[11,12,13],
'b':[15,16,17]
})
df = df.append(df2, ignore_index = True )
print(df)how to add a new column to the pandas df
import pandas as pd
data = {'Name': ['Josh', 'Stephen', 'Drake', 'Daniel'],
'Height': [5.5, 6.0, 5.3, 4.9]}
'''
printing data at this point will show the following
Name Height
0 Josh 5.1
1 Stephen 6.2
2 Drake 5.1
3 Daniel 5.2
'''
df.insert(2, "Age", [20, 21, 20, 19])
'''
printing data now will show the following
Name Height Age
0 Josh 5.1 20
1 Stephen 6.2 21
2 Drake 5.1 20
3 Daniel 5.2 19
'''Copyright © 2021 Codeinu
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