python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)get certain columns pandas with string
import pandas as pd
data = {'spike-2': [1,2,3], 'hey spke': [4,5,6], 'spiked-in': [7,8,9], 'no': [10,11,12]}
df = pd.DataFrame(data)
spike_cols = [col for col in df.columns if 'spike' in col]
print(list(df.columns))
print(spike_cols)python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.how to get only certain columns in pandas
#only the column names specified will be put into the new sub df
#enter a minimum of one column name
print(df[['column_name_1', 'column_name_2', ... , 'column_name_n']])python pandas return column name of a specific column
# Basic syntax:
list(df.columns)[column_number]
# This returns the column name of the column of interestCopyright © 2021 Codeinu
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