create empty pandas dataframe code example

Example 1: 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

Example 2: 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'])

Example 3: create empty pandas dataframe

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

Example 4: initialize pandas dataframe with column names

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

Example 5: create an empty dataframe

import pandas as pd
df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])

Example 6: python initialise dataframe

import pandas as pd

data = [[0, 0, 0] , [1, 1, 1]]
columns = ['A', 'B', 'C']
df = pd.DataFrame(data, columns=columns)