3 ways to use 'pandas select columns containing string' - Python

3 examples of 'pandas select columns containing string' in Python

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tdpetrou/pandas_cub

605 def __init__(self, df):
606     self._df = df

jbochi/sandals

197 def select_column(df, token):
198     column_name = token.value
199     if "." in column_name:
200         table_name, column_name = column_name.split(".", 1)
201         #TODO: Assert table name is correct
202     #TODO: Catch KeyError exception and raise error saying column does not exist
203     return df[column_name]

dexplo/dexplo

406 def istitle(self, column=None, keep=False):
407     return self._str_generic(name='istitle', column=column, keep=keep, multiple=True)

197	def select_column(df, token):
198	column_name = token.value
199	if "." in column_name:
200	table_name, column_name = column_name.split(".", 1)
201	#TODO: Assert table name is correct
202	#TODO: Catch KeyError exception and raise error saying column does not exist
203	return df[column_name]

406	def istitle(self, column=None, keep=False):
407	return self._str_generic(name='istitle', column=column, keep=keep, multiple=True)

3 examples of 'pandas select columns containing string' in Python

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