pandas
for data scientists
Why this scored 6
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
medium confidence · estimate, not a guarantee7-day
~14
range 0–26
14-day
~15
range 0–30
30-day
~16
range 0–35
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 147
null value return for selected columns of a DataFrame
Handles null DataFrame values · for Data scientists
stackoverflowSteady 2 · pythondata85d ago - 235
Pandas Should Go Extinct
Pandas performance limits suggest switching to faster alternatives for large datasets. · for data engineers
lobstersSteady 3 · pandasdata44d ago - 329
Pandas Should Go Extinct
Criticism of pandas' performance may drive adoption of faster data-frame alternatives. · for data engineers, data scientists
hackernewsSteady 2 · pandasdata44d ago - 427
Documentation of pandas DataFrame.replace with series as input
Adds pandas DataFrame.replace usage with series input to documentation. · for python data engineers
stackoverflowSteady 2 · pandasdata48d ago - 518
How to detect Japanese candlestick patterns in historical OHLC data without TA-Lib C-extensions in Python?
Shows Python method to detect candlestick patterns without TA-Lib dependencies. · for quant developers, data scientists
stackoverflowSteadydata12d ago - 615
Power BI Python Visualization erroring out when it shouldn't
Addresses Power BI Python visual errors caused by pandas dataframe handling. · for BI developers, data analysts
stackoverflowSteadydata42d ago - 715
How to use Pandas Pivot tables to make new columns combining column names and values in those columns
Demonstrates creating combined columns using pandas pivot tables. · for data engineers, python developers
stackoverflowSteadydata62d ago - 815
Using df.styler with df.to_latex() and longtable
Shows styling pandas DataFrames for LaTeX longtables via df.styler. · for python data scientists
stackoverflowSteadydata47d ago - 915
How to merge specific rows in a pandas DataFrame?
Shows how to merge specific rows in a pandas DataFrame efficiently. · for python developers, data engineers
stackoverflowSteadydata57d ago - 1015
Create a new column in pandas conditionally based on two other columns that may have overlapping values
Shows how to add a conditional column in pandas using overlapping values from two columns. · for python data scientists, pandas users
stackoverflowSteadydata67d ago - 1115
Does loadTable().to_pandas() transfer all data or only metadata first?
Clarifies whether DolphinDB's to_pandas loads full data or only metadata, impacting memory usage. · for data engineers
stackoverflowSteadydata16d ago - 1215
How to reduce dataframe with nan values maintaining consecutive values in columns
Demonstrates collapsing NaNs while keeping consecutive values in pandas DataFrames. · for data scientists
stackoverflowSteadydata6d ago - 1315
Get Pandas to accept an arbitrary string of spaces as 'NaN'
Shows how to treat strings of spaces as NaN when reading CSVs with pandas. · for python data scientists
stackoverflowSteadydata66d ago - 1414
xarray change subset of values of Dataset variable obtained from pandas DataFrame inconsistent with pandas v3
xarray v3 change causes incompatibility when updating variables from pandas DataFrames. · for data scientists
stackoverflowSteadydata71d ago - 1514
Replace duplicated DataFrame indices with a single Series
Demonstrates replacing duplicated DataFrame indices with a Series to streamline pandas cleaning. · for python data scientists, pandas users
stackoverflowSteadydata32d ago - 1614
How to compute a gradient column-wise in a pandas DataFrame using the index as an input?
Demonstrates column-wise gradient computation in a pandas DataFrame using numpy. · for data scientists
stackoverflowSteadydata36d ago - 1714
Filter out rows from a DataFrame if value in columns X and Y match MultiIndex A and B
Filter DataFrame rows · for data scientists
stackoverflowSteadydevtools74d ago - 184
How can I boxplot values that wrap around using matplotlib?
Python plot issue · for data scientists
stackoverflowSteadydata104d ago - 194
FastAPI returning "Out of range float values are not JSON compliant" with Pandas NaN values
JSON compliance issue · for python devs
stackoverflowSteadyweb102d ago - 204
Using Polars in a Pandas world
Polars vs Pandas compared · for data scientists
lobstersSteadydata−6 saturated80d ago