# Basic syntax:
import pandas as pd
empty_dataframe = pd.DataFrame()
# Create empty dataframe with column names
empty_dataframe = pd.DataFrame(columns=['your', 'column', 'names'])
# Create empty dataframe with row names
empty_dataframe = pd.DataFrame(index=['your', 'row', 'names'])

newDF = pd.DataFrame() #creates a new dataframe that's empty
newDF = newDF.append(oldDF, ignore_index = True) # ignoring index is optional
# try printing some data from newDF
print newDF.head() #again optional 

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

import pandas as pd
df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])

import pandas as pd
col_names = ['A', 'B', 'C']
my_df = pd.DataFrame(columns = col_names)
my_df

#This was first Posted By Hilarious Hornet
newDF = pd.DataFrame() #creates a new dataframe that's empty
newDF = newDF.append(oldDF, ignore_index = True) # ignoring index is optional
# try printing some data from newDF
print(newDF.head()) #again optional 

>>> df_empty = pd.DataFrame({'A' : []})
>>> df_empty
Empty DataFrame
Columns: [A]
Index: []
>>> df_empty.empty
True