initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)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)create a empty dataframe
#This was first Posted By Hilarious Hornet
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 optionalCopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
