Add new column based on condition on some other column in pandas.
# np.where(condition, value if condition is true, value if condition is false)
df['hasimage'] = np.where(df['photos']!= '[]', True, False)
df.head()Add new column based on condition on some other column in pandas.
# np.where(condition, value if condition is true, value if condition is false)
df['hasimage'] = np.where(df['photos']!= '[]', True, False)
df.head()pandas check if any of the values in one column exist in another
df["exists"] = df.drop("target", 1).isin(df["target"]).any(1)
print(df)
target A B C exists
0 cat bridge cat brush True
1 brush dog cat shoe False
2 bridge cat shoe bridge TrueCopyright © 2021 Codeinu
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