create dataframe with column names code example

Example 1: initialize pandas dataframe with column names

column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)

Example 2: 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: []

Example 3: how to give column names in pandas when creating dataframe

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

print(df)
#         A   B   C
# ONE    11  12  13
# TWO    21  22  23
# THREE  31  32  33

Example 4: pandas dataframe column names

print(data.columns.values)

Example 5: name columns pandas

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