How to append a list as a column to a Pandas DataFrame in Python?
The simplest way to append a list as a new column to a Pandas DataFrame in Python is to use the syntaxe df[columnName]=list. Let's consider the following dataframe:
>>> import pandas as pd
>>> df = pd.DataFrame([[1, 2], [4, 5]], columns = ["col1", "col2"])
col1 col2
0 1 2
1 4 5
The following command appends a list to the DataFrame as a new column named col3:>>> df['col3'] = [3, 6]
col1 col2 col3
0 1 2 3
1 4 5 6>>> df['col3'] = [3, 4]
col1 col2 col3
0 1 2 3
1 4 5 4
The simplest way to append a list as a new column to a Pandas DataFrame in Python is to use the syntaxe df[columnName]=list. Let's consider the following dataframe:
>>> import pandas as pd
>>> df = pd.DataFrame([[1, 2], [4, 5]], columns = ["col1", "col2"])
col1 col2
0 1 2
1 4 5
The following command appends a list to the DataFrame as a new column named col3:>>> df['col3'] = [3, 6]
col1 col2 col3
0 1 2 3
1 4 5 6>>> df['col3'] = [3, 4]
col1 col2 col3
0 1 2 3
1 4 5 4
The simplest way to append a list as a column to a Pandas DataFrame in Python is to use the syntaxe df[columnName]=list. Let's consider the following dataframe:
>>> import pandas as pd
>>> df = pd.DataFrame([[1, 2], [4, 5]], columns = ["col1", "col2"])
col1 col2
0 1 2
1 4 5
The following command appends a list to the DataFrame as a new column named col3:
>>> df['col3'] = [3, 4]
col1 col2 col3
0 1 2 3
1 4 5 4
| # | ID | Query | URL | Count |
|---|---|---|---|---|
| 0 | 13643 | alphons | https://en.ans.wiki/798/how-to-append-a-list-as-a-column-to-a-pandas-dataframe-in-python | 1 |
| 1 | 12402 | en | https://en.ans.wiki/798/how-to-append-a-list-as-a-column-to-a-pandas-dataframe-in-python | 5 |