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Adding a prefix to column valuesAdding leading zeros to strings of a columnAdding new column using listsAdding padding to a column of stringsBit-wise ORChanging column type to stringConditionally updating values of a DataFrameConverting all object-typed columns to categorical typeConverting column type to dateConverting column type to floatConverting column type to integerConverting K and M to numerical formConverting string categories or labels to numeric valuesEncoding categorical variablesExpanding lists vertically in a DataFrameExpanding strings vertically in a DataFrameExtracting numbers from columnFilling missing value in Index of DataFrameFiltering column values using boolean masksLogical AND operationMaking DataFrame string column lowercaseMapping True and False to 1 and 0 respectivelyMapping values of a DataFrame using a dictionaryModifying a single value in a DataFrameRemoving characters from columnsRemoving comma from column valuesRemoving first n characters from column valuesRemoving last n characters from column valuesRemoving leading substringRemoving trailing substringReplacing infinities with another value in DataFrameReplacing values in a DataFrameRounding valuesSorting categorical columnsUsing previous row to create new columns
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Using previous row to create new columns in Pandas DataFrame

schedule Aug 12, 2023
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Consider the following DataFrame:

df = pd.DataFrame({'A':[3,4,5]})
df
A
0 3
1 4
2 5

Suppose we wanted to create a new column B from column A where each row is computed using the current row and the previous row. To do so, we first make a new Series that is shifted by one:

series_shifted = df['A'].shift()
series_shifted
0 NaN
1 3.0
2 4.0
Name: A, dtype: float64

We then perform row-wise addition with this shifted series:

df['B'] = df['A'] + series_shifted
df
A B
0 3 NaN
1 4 7.0
2 5 9.0

Related

Pandas DataFrame | shift method
Pandas DataFrame.shift(~) method shifts the rows or columns by the specified amount, without changing the size of the DataFrame.
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Published by Isshin Inada
Edited by 0 others
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