Table

The Table component takes a pandas DataFrame and renders an HTML table in your report.

import datapane as dp
import pandas as pd
import numpy as np
​
df = pd.DataFrame({
    'A': np.random.normal(-1, 1, 5),
    'B': np.random.normal(1, 2, 5),
})
​
table = dp.Table(df)
report = dp.Report(table)
report.publish(name='sample_table')

If your DataFrame includes DataFrame Styles, these will be included in your report. DataFrame styles allows you create custom formatted tables; for instance, to show trends, highlight cells, add bar charts, or display correlations.

DataTable

The DataTable block takes a pandas DataFrame and renders an interactive, sortable, searchable table in your report, along with advanced analysis options such as Sanddance and Pandas Profiling. It supports large datasets and viewers can also download the table from the website as a CSV or Excel file.

import datapane as dp
import pandas as pd
import numpy as np
​
df = pd.DataFrame({
    'A': np.random.normal(-1, 1, 5000),
    'B': np.random.normal(1, 2, 5000),
})
​
table = dp.DataTable(df)
report = dp.Report(table)
report.publish(name='sample_table')

Python Dictionary & JSON

To include Python objects and JSON, we recommend using the File block.

Big Number

A single number or change can often be the most important thing in a report. The BigNumbercomponent allows you to present KPIs, changes, and statistics in a friendly way to your viewers. You can optionally set intent, and pass in numbers or text.

For full reference on styling your number, see the API Documentation.

import datapane as dp
​
dp.Report(
   dp.Group(columns=2,
      dp.BigNumber(
         heading="Number of percentage points", 
         value="84%",
         change="2%",
         is_upward_change=True
      ),
      dp.BigNumber(
         heading="Simple Statistic", 
         value=100
      )
   )
)

​