Answered by : charlesalexandre-roy

# 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'])

Source : | Last Update : Wed, 19 May 21

Answered by : light-louse-8t3wjpi61bop

df.empty == True

Source : | Last Update : Mon, 09 Mar 20

Answered by : hilarious-hornet-bubhrtg3f9sy

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 

Source : https://stackoverflow.com/questions/13784192/creating-an-empty-pandas-dataframe-then-filling-it | Last Update : Mon, 04 May 20

Answered by : alberto-blanco-garcs

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

Source : | Last Update : Mon, 28 Sep 20

Answered by : adrien-wehrl

if df.empty: print('Your df is empty...')

Source : | Last Update : Wed, 08 Apr 20

Answered by : supadude

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

Source : https://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.DataFrame.empty.html | Last Update : Tue, 11 Aug 20

Answered by : charming-cobra-v45bdty1gngb

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

Source : https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.empty.html | Last Update : Mon, 06 Jul 20