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My initial dataframe is:
Name Info1 Info2
0 Name1 Name1-Info1 Name1-Info2
1 Name1 Name1-Info1 Name1-Info2
2 Name1 Name1-Info1 Name1-Info2
3 Name2 Name2-Info1 Name2-Info2
4 Name2 Name2-Info1 Name2-Info2
and i would like to return the number of repetitions of each row as such:
Name Info1 Info2 Count
0 Name1 Name1-Info1 Name1-Info2 3
1 Name2 Name2-Info1 Name2-Info2 2
How can I count a pandas dataframe over duplications?
959
Finding duplicate rows To take a look at the duplication in the DataFrame as a whole, just call the duplicated() method on the DataFrame. It outputs True if an entire row is identical to a previous row.
How do you Count the Number of Occurrences in a data frame? To count the number of occurrences in e.g. a column in a dataframe you can use Pandas value_counts() method. For example, if you type df['condition']. value_counts() you will get the frequency of each unique value in the column “condition”.
df.groupby(['Name', 'Info1', 'Info2']).size().reset_index().rename(columns={0:"count"})
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