replace multiple values in pandas column
df = pd.DataFrame({'a':['Small', 'Medium', 'High']})
In [22]: df
Out[22]:
a
0 Small
1 Medium
2 High
[3 rows x 1 columns]
df.replace({'a' : { 'Medium' : 2, 'Small' : 1, 'High' : 3 }})
replace multiple values in pandas column
df = pd.DataFrame({'a':['Small', 'Medium', 'High']})
In [22]: df
Out[22]:
a
0 Small
1 Medium
2 High
[3 rows x 1 columns]
df.replace({'a' : { 'Medium' : 2, 'Small' : 1, 'High' : 3 }})
pandas change multiple column types
#Two ways to do this
df[['parks', 'playgrounds', 'sports']].apply(lambda x: x.astype('category'))
cols = ['parks', 'playgrounds', 'sports', 'roading']:
public[cols] = public[cols].astype('category')
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