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check empty dataframe

df.empty == True
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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 
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df empty

>>> df_empty.empty
True
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create empty pandas dataframe

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

if df.empty:
  print('Your df is empty...')
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how to check for empty dataframe

df_empty = pd.DataFrame({'A' : []})
df_empty.empty # True
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dataframe pandas empty

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

# Create Empty DataFrame with column names
df = pd.DataFrame(columns=['species','name','age'])
df.loc[1] = ['dog','Fido','3']  # Populate Row at index 1 (row 1)
df.loc[2] = ['cat','Felix','2'] # Populate Row at index 2 (row 2)
print(df) 
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