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')
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')
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born']).dropna() python
>>> df.dropna(how='all')dropna threshold
#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)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 1940-04-25dropna 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.htmlCopyright © 2021 Codeinu
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