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Report builder for Pandas DataFrame

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Pandas Reporter

Pandas Reporter is a report builder for Pandas DataFrame. It generates HTML, JSON, text, or YAML report containing the data in the data frame.

Installation

pip3 install pandasreporter

Usage

Create pandasreporter object and run it:

from pandasreporter import PandasReporter

# Prepare your data frame
data = {
    "Name": ["Barkley", "Pippen", "Robinson"],
    "DOB": ["19630220", "19650925", "19650806"],
    "City": ["Philadelphia", "Chicago", "San Antonio"],
}
data_frame = pd.DataFrame(data)

pandas_reporter = PandasReporter()
_opts = {
    "title": "Pandas Report",
    "generator": "Pandas Reporter",
    "rows_styler": <rows_styler_function>,
    "max_col_size": 80,
}

pandas_reporter.report(
    data_frame,
    "html", # other formatters: json, text, or yaml
    _opts,
)

Configuration

These are the optional properties that you can use with pandasreporter.report. Some example report files are available on examples folder.

Opt Type Description Example Formatter
max_col_size Number Maximum value length 80 All
title String HTML report title value Pandas Report html
generator String HTML report generator meta Pandas Reporter html
rows_styler Function Data row styler html

HTML Rows Styler

Rows styler can be used to apply style to each of the table rows in HTML report.

Here's an example rows styler function which checks a row's "Expiry Date" column value against current date and a threshold date, and add background-color style accordingly:

def rows_styler(row):
    today = pd.Timestamp.today()
    threshold_date = today + pd.DateOffset(days=self.expiry_threshold_in_days)
    if row["Expiry Date"] <= today:
        style = ["background-color: LightPink"] * len(row)
    elif row["Expiry Date"] <= threshold_date:
        style = ["background-color: LightYellow"] * len(row)
    else:
        style = ["background-color: LightGreen"] * len(row)
    return style

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