Answers for "drop na columns"

0

drop_na in pandas

# importing pandas module
import pandas as pd
  
# making data frame from csv file
data = pd.read_csv("nba.csv")
  
# making new data frame with dropped NA values
new_data = data.dropna(axis = 0, how ='any')
  
Posted by: Guest on June-06-2021
5

dropping nan in pandas dataframe

df.dropna(subset=['name', 'born'])
Posted by: Guest on April-27-2020
0

drop na in pandas

df.dropna(inplace = True)
or
df_new = df.dropna()
Posted by: Guest on June-07-2021
3

pandas dropna

df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
...                    "toy": [np.nan, 'Batmobile', 'Bullwhip'],
...                    "born": [pd.NaT, pd.Timestamp("1940-04-25"),
...                             pd.NaT]})
>>> df
       name        toy       born
0    Alfred        NaN        NaT
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT

##Drop the rows where at least one element is missing.
>>> df.dropna()
     name        toy       born
1  Batman  Batmobile 1940-04-25
Posted by: Guest on February-04-2020

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