Skip to content
Novus Examples
csv1.5 KB

Weather Forecast — 30 days (CSV, 30 rows)

A 30-day daily weather forecast for one city — high/low temperature, condition, precipitation, wind, and humidity. Synthetic (seeded) data for testing weather widgets, chart tools, and time-series import.

Preview — first 32 linescsv
date,city,temp_high_c,temp_low_c,condition,precip_mm,wind_kph,humidity_pct
2026-03-01,Lisbon,8.7,4.6,showers,6.0,24.6,77
2026-03-02,Lisbon,14.8,10.3,snow,4.6,43.0,92
2026-03-03,Lisbon,12.2,4.3,rain,7.0,27.5,74
2026-03-04,Lisbon,15.5,10.9,showers,0.0,20.9,48
2026-03-05,Lisbon,10.2,5.6,cloudy,0.0,7.3,65
2026-03-06,Lisbon,7.2,3.2,rain,5.3,8.8,92
2026-03-07,Lisbon,8.3,2.6,rain,0.0,43.7,48
2026-03-08,Lisbon,8.2,0.8,rain,1.9,17.4,66
2026-03-09,Lisbon,13.2,6.9,showers,0.0,34.6,50
2026-03-10,Lisbon,12.7,7.3,cloudy,0.9,26.7,55
2026-03-11,Lisbon,10.8,6.5,snow,1.5,21.8,49
2026-03-12,Lisbon,11.2,6.4,snow,0.6,6.8,81
2026-03-13,Lisbon,18.0,9.8,snow,0.0,37.5,83
2026-03-14,Lisbon,16.9,8.9,cloudy,2.2,31.5,88
2026-03-15,Lisbon,1.4,-4.1,cloudy,3.0,7.9,59
2026-03-16,Lisbon,11.7,6.2,rain,3.5,34.1,45
2026-03-17,Lisbon,16.5,7.7,showers,2.3,17.0,75
2026-03-18,Lisbon,16.0,7.9,fog,1.8,41.7,83
2026-03-19,Lisbon,15.5,7.5,thunderstorm,4.1,27.2,84
2026-03-20,Lisbon,18.0,11.5,rain,0.0,14.0,61
2026-03-21,Lisbon,11.2,4.9,snow,3.2,5.5,54
2026-03-22,Lisbon,11.5,6.4,sunny,0.0,16.4,89
2026-03-23,Lisbon,20.5,12.7,snow,0.0,15.1,67
2026-03-24,Lisbon,15.1,8.4,thunderstorm,0.0,34.4,73
2026-03-25,Lisbon,22.4,14.2,showers,1.0,7.9,69
2026-03-26,Lisbon,17.5,12.6,partly cloudy,0.0,13.8,74
2026-03-27,Lisbon,16.1,11.0,snow,0.0,32.9,91
2026-03-28,Lisbon,9.8,1.2,thunderstorm,0.3,39.7,68
2026-03-29,Lisbon,14.0,9.4,fog,2.1,41.9,79
2026-03-30,Lisbon,14.8,6.7,partly cloudy,3.4,28.6,69

Specifications

Rows
30
Schema
date, city, temp_high_c, temp_low_c, condition, precip_mm, wind_kph, humidity_pct
Domain
weather
Seed
1104

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

Code examples

import pandas as pd

df = pd.read_csv("forecast.csv")
print(df.head())
print(df.dtypes)

Generated by generation/data_domains.py. Free for any use, no attribution required — license.