PYTHON

python: change column name

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

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)

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

change column names with number pd dataframe

df.columns = ['Bill', 'name', 'type']
df

python pandas give column names

# adding column name to the respective columns
df.columns =['Name', 'Code', 'Age', 'Weight']
  
# displaying the DataFrame
print(df)

rename pandas columns with list of new names

df.columns = list_of_names

name columns pandas

df.columns = ['column1', 'column2', 'column3']
df.columns

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)

name columns pandas

>gapminder.columns = ['country','year','population',
                     'continent','life_exp','gdp_per_cap']