'I'm having a hard time understanding what pandas.DataFrame.loc does in this line of code
I'm tracing a basic machine learning python code to learn the basics and i stumbled upon these two lines of code:
data.loc[:,'symboling'] = data['symboling'].astype('object')
data.rename(columns={'symboling':'riskScore'},inplace=True)
first of all "data" is the csv file after being read with panda.read_csv and "symboling" is one of the column labels (the first one).
I understood the second line from the Pandas docs but I dont get what the first line does at all.
Solution 1:[1]
The first line converts the symboling column to object and replaces it in the dataframe.
On the left-hand side, data.loc[:,'symboling'] selects all rows (the : part is a slice) and the symboling column.
loc is probably being used here to avoid a SettingWithCopy warning, which might occur if the author had written:
data['symboling'] = data['symboling'].astype('object')
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Bill the Lizard |