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')
dropna pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwomandrop na in pandas
df.dropna(inplace = True)
or
df_new = df.dropna()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.htmlCopyright © 2021 Codeinu
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