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Data Manipulation Cookbook
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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Removing first n characters from column values in Pandas DataFrame
Pandas
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schedule Jul 1, 2022
Last updated local_offer Python●Pandas
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expand_more Consider the following Pandas DataFrame with a column of strings:
df
A0 a1 ab2 abc
To remove the first n characters from values from column A from this DataFrame:
df["A"].str[1:]
0 1 b2 bcName: A, dtype: object
Note that a new DataFrame is returned here and the original is kept intact.
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Published by Isshin Inada
Edited by 0 others
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