A collection of helper for pandas n plots
Project description
pandas-plots
usage
install / update package
pip install pandas-plots -U
include in python
from pandas_plots import tbl, viz
example
# load sample dataset from seaborn
import seaborn as sb
df = sb.load_dataset('taxis')
viz.plot_box(df['fare'], height=400, violin=True)
why use pandas-plots
pandas-plots is a package to help you examine and visualize data that are organized in a pandas DataFrame. It provides a high level api to pandas / plotly with some selected functions.
It is subdivided into:
-
tblutilities for table descriptionsdescribe_df()an alternative version of pandasdescribe()functionpivot_df()gets a pivot table of a 3 column dataframe
-
vizutilities for plotly visualizationsplot_box()auto annotated boxplot w/ violin optionplot_boxes()multiple boxplots (annotation is experimental)plots_bars()a standardized bar plotplot_stacked_bars()shortcut to stacked bars 😄plot_quadrants()quickly show a 2x2 heatmap
-
sqlis added as convienience wrapper for fetching data from sql databasesconnect_sqlget data from['mssql', 'sqlite','postgres']
dependencies
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