set select group of columns to numeric pandas

Solutions on MaxInterview for set select group of columns to numeric pandas by the best coders in the world

showing results for - "set select group of columns to numeric pandas"
Theo
13 Jun 2017
1import pandas as pd
2
3df = pd.DataFrame({'id':['a1', 'a2', 'a3', 'a4'],
4  				   'A':['0', '1', '2', '3'],
5                   'B':['1', '1', '1', '1'],
6                   'C':['0', '1', '1', '0']})
7
8df[['A', 'B', 'C']] = df[['A', 'B', 'C']].apply(pd.to_numeric, axis = 1)
queries leading to this page
dataframe multiple columnshow to create dataframe in python with multiple columns assign multiple dataframe columsapply pandas function to column to create multiple new columns 3fconvert type of multiple columns pandashow to make three columns in dataframe into floatchange all columns to numeric in pandaslist column values to multiple columns pandashow to select multiple of columns dataframe to floatconvert multiple pandas columns to numericdf assign multiple columnsvariable multiple columns to one pandasdataframe update multiple columns typespandas dataframe to numeric all columnspd to numeric more than one collumnpd to numeric multiple columnspandas one column to multiple columnspd cast multiple column dtypessee data type of multiple pandas columnspandas series to dataframe with multiple columnsassign multiple columns in pandaschange dtype of multiple column pandaschange data type multiple columns pandasconvert multiple columns to numeric pythonpython pandas multiple coluumn indexcan pandas have 0 columns and multiple rowsdataframe apply multiple columnsconvert all columns to numeric pandasdataframe few columns to intset multiple columns pandaschange type of multiple columns pandaschange multiple columns to float pandaschange data type of multiple columns pandasforce column types pandas multiple columns at oncepandas transform type of multiple columnshow to cast multiple column in pandas dataframe as numerichow to select range of columns dataframe to floatpandas convert multiple columns to numericdataframe astype for multiple columnsdf multiple columns as typepandas set dtypes for multiple columnshow to change dtype of multiple columns pandashow to create a dataframe with multiple columnspandas convert all columns to numericto numeric all columns pandasmultiple columns dataframehow to convert range of columns to floatchange datatypes of multiple columns pandaspandas multiple columnspython dataframe convert multiple colums to floatastype multiple columns pandashow to change more then one column datatype in panda at a timeto numeric for few columnsmultiple columns df pandascreate one column for many columns in pandaschange dtype of multiple column pandas to objectconvert datatype of multiple columns in pandaspython dataframe apply multiple columnspandas df apply multiple columnspython pandas apply int multiple columnspython pandas multiple multiple column with one columnspandas set dtype for multiple columnschange multiple column data type pandaspd convert multiple column dtypechange dtypes of multiple columns pandaspandas change type of multiple columnsdataframe multiple columndata types of several columns in pandasapply for multiple columns pandasmultiple pandas columns into one arraychane data type of multiple column to object pandasdataframe multiple column indexhow to convert multiple column into integer in pythonset select group of columns to numeric pandaspython pandas multiple multiple column with one columncast dataframe columns to float multiple columnshow to change data type of multiple columns in pandasgive two types of value in a column of dataframepandas to numeric multiple columnspandas multiple columns to one columnconvert multiple columns to integer pandashow to select multiple of columns dataframe to float pythonconvert multiple column types pandashow to select range of columns to floatconvert two columns object to float pandasconvert multiple columns float to int pandashow to set multiple pandas column to a single valueset select group of columns to numeric pandas