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>>> df_empty = pd.DataFrame({'A' : []})
>>> df_empty
Empty DataFrame
Columns: [A]
Index: []
>>> df_empty.empty
True
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# 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'])
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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
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import pandas as pd
df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
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#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