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.
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
Testing contract
Expected to pass- Scenario
- Exercise Weather Forecast: 30 days (CSV, 30 rows) in its weather workflow. A 30-day daily weather forecast for one city: high/low temperature, condition, precipitation, wind, and humidity.
- Expected result
- 30 data records using ',' delimiters and UTF-8; header fields are date, city, temp_high_c, temp_low_c, condition, precip_mm, wind_kph, humidity_pct; data-record widths (columns:count) are {"8":30}. Declared feature checks: domain=weather.
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.
How to use this file for testing
“Weather Forecast: 30 days (CSV, 30 rows)” is a deterministic Testaroo fixture for Data import, Time-series data, Conversion testing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: seed 1104 · 30 rows · schema: date, city, temp_high_c, temp_low_c, condition, precip_mm, wind_kph, humidity_pct. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
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.
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