PYTHON

create dataframe with column names pandas

In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []

pandas dataframe column names

print(data.columns.values)

python pandas give column names

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

name columns pandas

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

name columns pandas

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

dataframe names pandas

print(df.rename(columns={'A': 'a', 'C': 'c'}))