<jupyter_start><jupyter_text>Default: removes duplicate rows based on all columns.-  row 0 and 4 are identical<jupyter_code>df_trimmed = df.drop_duplicates()

print(df_trimmed)<jupyter_output>date  weather
0  20110201       20
1  20110202       21
2  20110203       19
3  20110204       18
5  20110201      500<jupyter_text>Remove duplicates and keep no copy- default: keep = "first"- value:     - "first"     - "last"     - False<jupyter_code>df.drop_duplicates(keep = False)<jupyter_output><empty_output><jupyter_text>Remove duplicates with subset<jupyter_code>df.drop_duplicates(subset = ['date'], keep = "last")
df.drop_duplicates(subset = ['date'])# default keep first<jupyter_output><empty_output>
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