rename columns pandas
df.rename(columns={'oldName1': 'newName1',
'oldName2': 'newName2'},
inplace=True, errors='raise')
# Make sure you set inplace to True if you want the change
# to be applied to the dataframerename columns pandas
df.rename(columns={'oldName1': 'newName1',
'oldName2': 'newName2'},
inplace=True, errors='raise')
# Make sure you set inplace to True if you want the change
# to be applied to the dataframepython how to rename columns in pandas dataframe
# Basic syntax:
# Assign column names to a Pandas dataframe:
pandas_dataframe.columns = ['list', 'of', 'column', 'names']
# Note, the list of column names must equal the number of columns in the
# dataframe and order matters
# Rename specific column names of a Pandas dataframe:
pandas_dataframe.rename(columns={'column_name_to_change':'new_name'})
# Note, with this approach, you can specify just the names you want to
# change and the order doesn't matter
# For rows, use "index". E.g.:
pandas_dataframe.index = ['list', 'of', 'row', 'names']
pandas_dataframe.rename(index={'row_name_to_change':'new_name'})pandas rename column
df.rename({'current':'updated'},axis = 1, inplace = True)rename column pandas
>>> df.rename(index={0: "x", 1: "y", 2: "z"})
A B
x 1 4
y 2 5
z 3 6pandas description of dataframe renaming column values
dict = {
'Android': 'Android',
'Chrome OS': 'Chrome OS',
'Linux': 'Linux',
'Mac OS': 'macOS',
'No OS': 'No OS',
'Windows': 'Windows',
'macOS': 'macOS'
}
df['col'] = df['col'].map(dict)pandas description of dataframe renaming column values
def modified_col (col):
col = col.strip()#removes white space
col = col.replace('Operating System','os')
col = col.replace(' ','_')
col = col.replace(')','')#removes (
col = col.replace('(','')
col = col.lower()
return col
new_columns = []
for new_col in df.columns:
clean_col = modified_col(new_col)
new_columns.append(clean_col)
df.columns = new_columnsCopyright © 2021 Codeinu
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