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Combine pandas DataFrames with Different Column Names in Python | How to Apply the concat() Function
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Python code of this video:
import pandas as pd # Import pandas library in Python
data1 = pd.DataFrame({"col1":["a", "b", "c", "d"], # Create first pandas DataFrame
"col2":range(4, 0, - 1),
"col3":range(11, 15)})
print(data1) # Print first pandas DataFrame
data2 = pd.DataFrame({"col1":["x", "y"], # Create second pandas DataFrame
"col3":range(3, 1, - 1),
"col4":["new", "newest"]})
print(data2) # Print second pandas DataFrame
ignore_index = True,
sort = False)
print(data_concat) # Print combined DataFrame
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import pandas as pd # Import pandas library in Python
data1 = pd.DataFrame({"col1":["a", "b", "c", "d"], # Create first pandas DataFrame
"col2":range(4, 0, - 1),
"col3":range(11, 15)})
print(data1) # Print first pandas DataFrame
data2 = pd.DataFrame({"col1":["x", "y"], # Create second pandas DataFrame
"col3":range(3, 1, - 1),
"col4":["new", "newest"]})
print(data2) # Print second pandas DataFrame
ignore_index = True,
sort = False)
print(data_concat) # Print combined DataFrame
Follow me on Social Media:
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