pandas drop empty columns
DataFrameName.dropna(axis=1, how='all', inplace=True)pandas drop empty columns
DataFrameName.dropna(axis=1, how='all', inplace=True)pandas empty dataframe with column names
# Create empty dataframe with column names
df = pd.DataFrame(columns=['dog_name','dog_age'])
# Create some Lists to populate df
dogNames = ['Blue','Atticus']
dogAges = [2,8]
# loop through the lists
for n in range(0,1):
df.loc[n] = [dogNames[n], dogAges[n]]add empty column to dataframe pandas
>>> import numpy as np
>>> import pandas as pd
>>> df = pd.DataFrame({"A": [1,2,3], "B": [2,3,4]})
>>> df
A B
0 1 2
1 2 3
2 3 4
>>> df["C"] = ""
>>> df["D"] = np.nan
>>> df
A B C D
0 1 2 NaN
1 2 3 NaN
2 3 4 NaNremove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')Copyright © 2021 Codeinu
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