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pandas is a python library for Panel Data manipulation and analysis, e.g. multidimensional time series and cross-sectional data sets commonly found in statistics, experimental science results, econometrics, or finance.

2 votes

Getting the max/mode of groupby.size() results

This question is really a duplicate of this Stack Overflow post. The most intuitive solution is to use pd.Series.mode in groupby but the fastest solution is to drop duplicates of a value_counts result …
cottontail's user avatar
0 votes

Average number of records by ID

Since you want to count the number of rows per ID, another way is to use value_counts(). df['ID'].value_counts().mean() # 1.5
cottontail's user avatar
1 vote

How can I do mathematical operations to two columns of a CSV file and save the result in a n...

You can an array to a dataframe and divide a dataframe by a list of values. df2 = (df[['S1','S2']] .add(df[['S2','S3']].values) .div([1.5, 2.5]) .set_axis(['R1', 'R2'], axis=1) …
cottontail's user avatar
0 votes

Difference between isna() and isnull() in pandas

isnull is an alias for isna, so they are the same. You can check the source code to confirm as much. Similarly, notnull is an alias for notna, which is defined as ~df.isna() (source code), so the foll …
cottontail's user avatar
0 votes

Pandas Dataframe grouping and summarizing

Pandas has a built-in function for it. Add a suffix to column names, remove axis names and you're done. …
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2 votes
Accepted

FutureWarning in pandas when working with Series

The warning is showing up not because of how you indexed the row; it's appearing because you're passing a Series object to a tensor constructor. The following (where no indexing happens) would trigger …
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