empty dataframe
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
                                
                            empty dataframe
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
                                
                            initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)
                                
                            create empty pandas dataframe
df = pd.DataFrame(columns=['a', 'b', 'c'])
                                
                            create an empty dataframe
import pandas as pd
df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
                                
                            python initialise dataframe
import pandas as pd
data = [[0, 0, 0] , [1, 1, 1]]
columns = ['A', 'B', 'C']
df = pd.DataFrame(data, columns=columns)
                                
                            dataframe pandas empty
>>> df_empty = pd.DataFrame({'A' : []})
>>> df_empty
Empty DataFrame
Columns: [A]
Index: []
>>> df_empty.empty
True
                                
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