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Questions - python-polars

Polars DataFrame memory size in Python

Was wondering about the size of particular polars DataFrames. I tried with: from sys import getsizeof getsizeof(df) Out[17]: 48 getsizeof(df.to_pandas()) Out[18]: 1602923950 It appears all polars df...
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fvg

python

memory

python-polars

Votes: 0

Answers: 2

Latest Answer

Using the polars.DataFrame.estimated_size() method we can get the size of the dataframe similar to pandas.info(). Follow the link.
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RKCH

Pandas: Rolling Mean and ignore NaN

How does you tell pandas to ignore NaN values when calculating a mean? With min periods, pandas will return NaN for a number of min_periods when it encounters a single NaN. Example: pd.DataFrame({ 'x'...
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Test

python

pandas

python-polars

Votes: 0

Answers: 1

Latest Answer

You want to drop the np.nan first then rolling mean. Afterwards, reindex with the original index and forward fill values to fill the np.nan. df.x.dropna().rolling(3).mean().reindex(df.index, method='...
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piRSquared

How to create a weighted sum of some columns in a Polars DataFrame?

I'm looking for an idiomatic way to calculate the weighted sum of a subset of the columns in a Polars DataFrame and add it to the DataFrame as new column. So let's say I want to multiply columns p1-p3...
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Tikkanz

python-polars

Votes: 0

Answers: 2

Latest Answer

One trick that may also help: commonly used folds are built into the sum, max, min, all, and any functions - when called with a list of expressions. For example: pl.sum([exp1, exp2, etc...]) is synta...
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user18559875

Convert Pandas pivot_table function into Polars pivot Function

I'm trying to convert some python pandas into polars. I'm stuck trying to convert pandas pivot_table function into polars. The following is the working pandas code. I can't seem to get the same behavi...
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Butter_

python

pandas

python-polars

Votes: 0

Answers: 1

Latest Answer

In Polars, we would not use a pivot table for this. Instead, we would use the groupby and agg functions. Using your data, it would be: import polars as pl df = pl.from_pandas(df) df.groupby("o...
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user18559875

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