Answers for "dropna values in pandas dataframe"

drop null rows pandas

df.dropna()

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')
  

dropna pandas

>>> df.dropna(subset=['name', 'toy'])
       name        toy       born
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT

dropna pandas

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

# ref. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html

threshold meaning in 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.dropna(thresh=2)
       name        toy       born
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT