I want to select a row based on a condition and then update it in dataframe.
One solution I found is to update df
based on condition, but I must repeat the condition, what is the better solution so that I get the desired row once and change it?
df.loc[condition, "top"] = 1
df.loc[condition, "pred_text1"] = 2
df.loc[condtion, "pred1_score"] = 3
something like:
row = df.loc[condition]
row["top"] = 1
row["pred_text1"] = 2
row["pred1_score"] = 3
CodePudding user response:
Extract the boolean mask and set it as a variable.
m = condition
df.loc[m, 'top'] = 1
df.loc[m, 'pred_text1'] = 2
df.loc[m, 'pred1_score'] = 3
but the shortest way is:
df.loc[condition, ['top', 'pred_text1', 'pred_score']] = [1, 2, 3]