CODEWITHSUNDEEP
pythonpandasloops
fred.schwartz
fred.schwartz

Reputation: 2155

looping through dictionary in pandas

I've got a dataframe and I want to say if value is equal or like, then call column "output" a new value.

My code is below

df.loc[df['Varname']=='Intercept','Output']='1Base'
df.loc[df['Varname'].str.contains('Xmas|Bank|Easter'),'Output']='3Holidays'
df.loc[df['Varname'].str.contains('BF'),'Output']='9Events'
df.loc[df['Varname'].str.contains(r'(?=.*Brand)(?=.*ME2)'),'Output']='hjhjha'
df.loc[df['Varname'].str.contains(r'(?=.*Trading)(?=.*ME2)'),'Output']='ghghg'
df.loc[df['Varname'].str.contains(r'(?=.*Sky)(?=.*PovRSP)'),'Output']='dfdfdf'

Is there a way I can do this in a dictionary and loop?

for example

dict={Intercept : 1Base,
     ,'Xmas|Bank|Easter : 3Holiday

and so on

and then loop through this?

Upvotes: 0

Views: 498

Answers (1)

JoergVanAken
JoergVanAken

Reputation: 1286

You can put your strings into a dict

d = {'^Intercept$': '1Base'
    'Xmas|Bank|Easter': '3Holidays'
    'BF': '9Events'
    r'(?=.*Brand)(?=.*ME2)'): 'hjhjha'
    r'(?=.*Trading)(?=.*ME2)'): 'ghghg'
    r'(?=.*Sky)(?=.*PovRSP)'): 'dfdfdf'}

an iterate through this

for key, value in d.items():
    df.loc[df['Varname'].str.contains(key), 'Output'] = value

Upvotes: 3

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