PYTHON

python: change column name

df = df.rename(columns = {'myvar':'myvar_new'})

rename column name pandas dataframe

df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

change name of column pandas

#df.rename() will only return a new df with the new headers
#df = df.rename() will change the heders of the current dataframe 
df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

df change column names

df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)

Renaming Column Name Dataframe

df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})

how to rename columns in python

#how to rename columns with:

data = data.rename(columns={'Old_column' : 'New_column'})

dataframe rename column

# Define df
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})

# Option 1
df = df.rename({"A": "a", "B": "c"}, axis=1)
# or
df.rename({"A": "a", "B": "c"}, axis=1, inplace=True)

# Option 2
df = df.rename(columns={"A": "a", "B": "c"})
# or
df.rename(columns={"A": "a", "B": "c"}, inplace=True)

# Result
>>> df
   a  c
0  1  4
1  2  5
2  3  6

change column name pandas

df.rename({'current':'updated'},axis = 1, inplace = True)

how to change column name in pandas

print(df.rename(columns={'A': 'a', 'C': 'c'}))
#         a   B   c
# ONE    11  12  13
# TWO    21  22  23
# THREE  31  32  33

Rename columns

df.rename({0: 'links'}, axis=1, inplace=True)

df rename columns

df.rename(columns = {'col1':'new_name', 'col2':'newcol2',
                              'col3':'newcol3'}, inplace = True)

rename columns

df.columns = ['V', 'W', 'X', 'Y', 'Z']

change column names pandas

df.columns = ['A','B']

changing names of column pandas

import pandas as pd

# You don't need these two lines
# as you already have your DataFrame in memory
df = pd.read_csv("nor.txt", sep="|")
df.drop(df.columns[-1], axis=1)

# Get column names
cols = df.columns

# Create a new DataFrame with just the markdown
# strings
df2 = pd.DataFrame([['---',]*len(cols)], columns=cols)

#Create a new concatenated DataFrame
df3 = pd.concat([df2, df])

#Save as markdown
df3.to_csv("nor.md", sep="|", index=False)

Rename columns

# 20. Rename a column
df.rename(columns={"Airline": "Airline_Code", "AirportFrom":"Airport_From"})