spark-plot
- Simplifies plotting Spark DataFrames by making calculations for plots inside Spark
- Plot types: Histogram
- Generates Matplotlib plots with a similar Pandas Plotting API
TODO:
- Raster plots (2D Histograms)
- Supports multiple Python plotting frontends (Altair, Plotly and more)
Installation
pip install spark-plot
Usage
A simple example using Matplotlib
# Create an Spark DataFrame
from nycflights13 import flights as flights_pd
flights = spark.createDataFrame(flights_pd)
# Make a Histogram
from spark_plot import mpl
mpl.hist(flights, "distance", color="#474747")
1 maintainer
Metadata
1 maintainer
Release files for spark-plot 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| spark-plot-0.0.1.tar.gz | 36.8 kB | Without provenance | Details for spark-plot-0.0.1.tar.gz |
Release files / spark-plot-0.0.1.tar.gz
| Download URL | spark-plot-0.0.1.tar.gz |
|---|---|
| Size | 36.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e6cb7d1aff61607d16a2e1fdf62f3ca31e2177d1958a6eaa1a7b7bea203041c8
|
|
BLAKE2b-256 checksum How to use checksums |
0bb5996bf577765ce02c9a02817b2aa0a4c69422ad7d720326f405f7816a6128
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Security for spark-plot 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
