How to Add a Row To a Data Frame in Pandas (Python)

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Duration: 3:22
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This video shows how to add columns from Data Frames in the Pandas library for Python.

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Code used in this Python Code Clip:

import pandas as pd

import statsmodels.api as sm #(To access mtcars dataset)
mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data

mtcars.head()

# Add row to end of data frame with df.append()

row = mtcars.loc["Volvo 142E",]

mtcars = mtcars.append(row)

mtcars.tail()

# Add a new row by assignment with index name

mtcars.loc["NEW_CAR"] = [0,1,2,3,4,5,6,7,8,9,10]

mtcars.tail()

# Insert row at given position

# Construct a row to insert as a data frame
row_values = [12,35,46,27,28,24,23,13,64,34,64]
insert_row = pd.DataFrame({v: row_values[k] for k, v in enumerate(mtcars.columns)},
index = ["Insert_Car"])

# Choose an insertion index
insert_index = len(mtcars.index)-2

# Use indexing to append rows
mtcars = mtcars.iloc[:insert_index,].append([insert_row, mtcars.iloc[insert_index:,]])

mtcars.tail()



* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large < and > symbols in place of the standard sized ones. .


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