Create an empty dataframe

Pandas create empty dataframe

# 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'])

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

Source: stackoverflow.com

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

Source: pandas.pydata.org

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