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chevron_left Selecting Data Cookbook
Accessing a single value of a DataFrameAccessing columns of a DataFrame using column labelsAccessing columns of a DataFrame using integer indicesAccessing rows of a DataFrame using integer indicesAccessing rows of a DataFrame using row labelsAccessing the first n rowsAccessing the last n rowsAccessing values of a multi-index DataFrameAdding prefix to column labelsAdding suffix to column labelsConverting two columns into a dictionaryExcluding columns based on typeGetting earliest or latest date from DataFrameGetting every nth rowGetting indexes of rows matching conditionsGetting shortest and longest stringsSelecting a single column as a DataFrameSelecting columns of a DataFrame using regexSelecting last column of DataFrameSelecting rows based on a conditionExtracting values of a DataFrame as a Numpy arrayGetting a list of all the column labelsGetting all columns except oneGetting all duplicate rowsGetting all numeric columns of a DataFrameGetting all unique values of columnsGetting column label of max value in each rowGetting column label of minimum value in each rowGetting columns by data typeGetting columns using integer indexGetting first row value of a columnGetting index of Series where value is TrueGetting integer index of a column using its column labelGetting integer index of rows based on column valuesGetting multiple columnsGetting row with largest index valueGetting row with smallest index valueGetting rows based on multiple column valuesGetting rows except someGetting rows from a DataFrame based on column valuesGetting rows that are not in other DataFrameGetting rows using OR statementGetting rows where column values are of specific lengthGetting rows where value is between two valuesGetting rows where values do not contain substringGetting the column labels of a DataFrameGetting the first columnGetting the index of a DataFrameGetting the length of the longest string in a columnGetting the longest string in a columnGetting the row with the maximum column valueGetting the row with the minimum column valueGetting the shape of a DataFrameGetting number of columns of a DataFrameGetting the total number of rows of a DataFrameGetting the total number of values in a DataFrameMaking column labels all lowercaseMaking column labels all uppercaseRandomly select rows based on a conditionRandomly selecting n columns from a DataFrameRandomly selecting n rows from a DataFrameReassigning column valuesRetrieving DataFrame column values as a NumPy arraySelecting columns that do not begin with certain prefixSelecting columns with certain prefixSelecting n rows with the smallest values for a columnSelecting rows based on datesSelecting rows from a DataFrame whose column values are contained in a listSelecting rows from a DataFrame whose column values are NOT contained in a listSelecting rows from a DataFrame whose column values contain a substringSelecting rows starting with substringSelecting top n rows with the largest values for a columnSplitting DataFrame based on column values
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chevron_left Selecting Data Cookbook
Accessing a single value of a DataFrameAccessing columns of a DataFrame using column labelsAccessing columns of a DataFrame using integer indicesAccessing rows of a DataFrame using integer indicesAccessing rows of a DataFrame using row labelsAccessing the first n rowsAccessing the last n rowsAccessing values of a multi-index DataFrameAdding prefix to column labelsAdding suffix to column labelsConverting two columns into a dictionaryExcluding columns based on typeGetting earliest or latest date from DataFrameGetting every nth rowGetting indexes of rows matching conditionsGetting shortest and longest stringsSelecting a single column as a DataFrameSelecting columns of a DataFrame using regexSelecting last column of DataFrameSelecting rows based on a conditionExtracting values of a DataFrame as a Numpy arrayGetting a list of all the column labelsGetting all columns except oneGetting all duplicate rowsGetting all numeric columns of a DataFrameGetting all unique values of columnsGetting column label of max value in each rowGetting column label of minimum value in each rowGetting columns by data typeGetting columns using integer indexGetting first row value of a columnGetting index of Series where value is TrueGetting integer index of a column using its column labelGetting integer index of rows based on column valuesGetting multiple columnsGetting row with largest index valueGetting row with smallest index valueGetting rows based on multiple column valuesGetting rows except someGetting rows from a DataFrame based on column valuesGetting rows that are not in other DataFrameGetting rows using OR statementGetting rows where column values are of specific lengthGetting rows where value is between two valuesGetting rows where values do not contain substringGetting the column labels of a DataFrameGetting the first columnGetting the index of a DataFrameGetting the length of the longest string in a columnGetting the longest string in a columnGetting the row with the maximum column valueGetting the row with the minimum column valueGetting the shape of a DataFrameGetting number of columns of a DataFrameGetting the total number of rows of a DataFrameGetting the total number of values in a DataFrameMaking column labels all lowercaseMaking column labels all uppercaseRandomly select rows based on a conditionRandomly selecting n columns from a DataFrameRandomly selecting n rows from a DataFrameReassigning column valuesRetrieving DataFrame column values as a NumPy arraySelecting columns that do not begin with certain prefixSelecting columns with certain prefixSelecting n rows with the smallest values for a columnSelecting rows based on datesSelecting rows from a DataFrame whose column values are contained in a listSelecting rows from a DataFrame whose column values are NOT contained in a listSelecting rows from a DataFrame whose column values contain a substringSelecting rows starting with substringSelecting top n rows with the largest values for a columnSplitting DataFrame based on column values
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Selecting columns of a DataFrame using regex in Pandas

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Selecting Data Cookbook
schedule Jul 1, 2022
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We can select columns of a DataFrame using regex through the filter(~) method. The method applies filtering based on the labels of the columns/rows, and not on the actual data.

Example

Consider the following DataFrame:

df = pd.DataFrame({"ABC":[1,2,3],"BCD":[4,5,6],"E":[7,8,9]}, index=["a","b","c"])
df
ABC BCD E
a 1 4 7
b 2 5 8
c 3 6 9

To get columns where the label contains the character "C":

df.filter(regex=".*C.*")
ABC BCD
a 1 4
b 2 5
c 3 6

Note that a new DataFrame is returned containing the rows or columns where the label matches the specified pattern.

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Published by Arthur Yanagisawa
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