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 optionalempty 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 optionaldataframe pandas empty
>>> df_empty = pd.DataFrame({'A' : []})
>>> df_empty
Empty DataFrame
Columns: [A]
Index: []
>>> df_empty.empty
Truepython 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)
# Output:
# species name age
# 1 dog Fido 3
# 2 cat Felix 2Copyright © 2021 Codeinu
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