pandas empty dataframe with columns 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 drop empty columns

DataFrameName.dropna(axis=1, how='all', inplace=True)

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: python initialise dataframe

import pandas as pd

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

Example 6: dataframe pandas empty

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