time stringdate 2025-01-01 00:00:00 2025-08-31 00:00:00 | temperature_2m_max float64 -11.8 46.5 ⌀ | temperature_2m_min float64 -19.3 36.7 ⌀ | precipitation_sum float64 0 137 ⌀ | weathercode float64 0 75 ⌀ | city stringclasses 26
values |
|---|---|---|---|---|---|
2025-01-01 | 10.8 | 3.8 | 4.5 | 63 | New_York |
2025-01-02 | 5.3 | 0.2 | 0 | 3 | New_York |
2025-01-03 | 3.1 | -2 | 0 | 3 | New_York |
2025-01-04 | -0.2 | -2.8 | 0 | 3 | New_York |
2025-01-05 | 0.2 | -3.7 | 0 | 3 | New_York |
2025-01-06 | -1.7 | -4.6 | 1.7 | 73 | New_York |
2025-01-07 | -3.1 | -8.8 | 0 | 3 | New_York |
2025-01-08 | -2.6 | -6.7 | 0 | 3 | New_York |
2025-01-09 | -1.6 | -6.9 | 0 | 3 | New_York |
2025-01-10 | 3.2 | -4 | 0 | 3 | New_York |
2025-01-11 | 0.3 | -3 | 2 | 73 | New_York |
2025-01-12 | 4.7 | -2 | 0 | 3 | New_York |
2025-01-13 | 6.5 | -2 | 0 | 3 | New_York |
2025-01-14 | 0.2 | -3.8 | 0 | 3 | New_York |
2025-01-15 | -1.2 | -5.8 | 0 | 3 | New_York |
2025-01-16 | -0.7 | -6 | 0.3 | 71 | New_York |
2025-01-17 | 4.9 | -5.1 | 0 | 3 | New_York |
2025-01-18 | 6.4 | -1 | 2.1 | 53 | New_York |
2025-01-19 | 2.5 | -2.2 | 8.8 | 75 | New_York |
2025-01-20 | -2.7 | -10.6 | 0.2 | 71 | New_York |
2025-01-21 | -8.5 | -15.9 | 0.4 | 71 | New_York |
2025-01-22 | -8.3 | -16.8 | 0 | 3 | New_York |
2025-01-23 | -3.6 | -13.2 | 0 | 3 | New_York |
2025-01-24 | -1.2 | -10.8 | 0 | 3 | New_York |
2025-01-25 | -2.1 | -13.1 | 0 | 3 | New_York |
2025-01-26 | 4 | -5.7 | 0 | 3 | New_York |
2025-01-27 | 1.9 | -5 | 0 | 3 | New_York |
2025-01-28 | 4.3 | -3.1 | 0 | 3 | New_York |
2025-01-29 | 9 | 0.2 | 0 | 3 | New_York |
2025-01-30 | 0.9 | -6.4 | 0 | 3 | New_York |
2025-01-31 | 6.1 | 0.6 | 10.3 | 61 | New_York |
2025-02-01 | 6.1 | -5.9 | 2.4 | 53 | New_York |
2025-02-02 | 1.2 | -9.7 | 1.2 | 73 | New_York |
2025-02-03 | 6 | -3.2 | 0.3 | 71 | New_York |
2025-02-04 | 6 | -0.6 | 0.3 | 51 | New_York |
2025-02-05 | 1.7 | -3.6 | 0 | 3 | New_York |
2025-02-06 | 4.3 | -2 | 8.5 | 75 | New_York |
2025-02-07 | 5 | -2.8 | 0 | 3 | New_York |
2025-02-08 | 1 | -4.5 | 7.8 | 75 | New_York |
2025-02-09 | 1.3 | -2.3 | 6.4 | 75 | New_York |
2025-02-10 | 0.4 | -5.3 | 0 | 3 | New_York |
2025-02-11 | -0.3 | -9.3 | 1.2 | 73 | New_York |
2025-02-12 | 0.3 | -2.3 | 4.5 | 73 | New_York |
2025-02-13 | 7.1 | 0.4 | 6.6 | 71 | New_York |
2025-02-14 | 0.9 | -3.3 | 0 | 3 | New_York |
2025-02-15 | 1.6 | -4.1 | 6.9 | 73 | New_York |
2025-02-16 | 7.3 | 0.7 | 23.1 | 63 | New_York |
2025-02-17 | 0.8 | -3.6 | 0 | 3 | New_York |
2025-02-18 | -3.1 | -8.5 | 0 | 3 | New_York |
2025-02-19 | -1.2 | -9.3 | 0 | 3 | New_York |
2025-02-20 | -1.2 | -8.8 | 0.9 | 71 | New_York |
2025-02-21 | -0.4 | -6.5 | 0 | 3 | New_York |
2025-02-22 | 3.6 | -7.5 | 0 | 3 | New_York |
2025-02-23 | 7.8 | -1.9 | 0 | 3 | New_York |
2025-02-24 | 8.2 | -1.9 | 0 | 3 | New_York |
2025-02-25 | 12.4 | 3.5 | 0 | 3 | New_York |
2025-02-26 | 13.7 | 2.3 | 0.1 | 51 | New_York |
2025-02-27 | 12 | 4.6 | 9.2 | 63 | New_York |
2025-02-28 | 9.6 | 1.8 | 0 | 3 | New_York |
2025-03-01 | 15.9 | -0.9 | 0 | 3 | New_York |
2025-03-02 | 0.5 | -7.4 | 0 | 3 | New_York |
2025-03-03 | 3.6 | -5.7 | 0 | 3 | New_York |
2025-03-04 | 12.8 | -2.1 | 0 | 3 | New_York |
2025-03-05 | 12.5 | 5.6 | 39.2 | 65 | New_York |
2025-03-06 | 12.1 | 2.2 | 2.9 | 63 | New_York |
2025-03-07 | 8.1 | -0.9 | 0 | 3 | New_York |
2025-03-08 | 6.1 | 0.9 | 0 | 3 | New_York |
2025-03-09 | 10.3 | -2.4 | 0 | 3 | New_York |
2025-03-10 | 17 | 3.6 | 0 | 2 | New_York |
2025-03-11 | 16 | 2.7 | 0 | 1 | New_York |
2025-03-12 | 11.2 | 3 | 0 | 3 | New_York |
2025-03-13 | 10.3 | 1.9 | 0 | 3 | New_York |
2025-03-14 | 12.8 | 0.7 | 0 | 3 | New_York |
2025-03-15 | 9.1 | 3.5 | 0.5 | 51 | New_York |
2025-03-16 | 15.8 | 7.3 | 8.2 | 63 | New_York |
2025-03-17 | 14.7 | 3.2 | 30.9 | 65 | New_York |
2025-03-18 | 14 | 0.6 | 0 | 3 | New_York |
2025-03-19 | 14.1 | 2.7 | 0 | 3 | New_York |
2025-03-20 | 10 | 5.4 | 11.4 | 63 | New_York |
2025-03-21 | 9.2 | 2.4 | 7.3 | 63 | New_York |
2025-03-22 | 16.3 | 2.4 | 0 | 3 | New_York |
2025-03-23 | 8.2 | -2.5 | 0 | 3 | New_York |
2025-03-24 | 10.5 | 4 | 13.7 | 63 | New_York |
2025-03-25 | 14.1 | 4.8 | 0 | 3 | New_York |
2025-03-26 | 10.1 | 2 | 0.3 | 51 | New_York |
2025-03-27 | 9.8 | -0.6 | 0 | 1 | New_York |
2025-03-28 | 15.6 | 4.5 | 1.3 | 55 | New_York |
2025-03-29 | 26.2 | 7.2 | 7.3 | 61 | New_York |
2025-03-30 | 13.8 | 5.6 | 0.3 | 51 | New_York |
2025-03-31 | 23.9 | 8.1 | 39.2 | 65 | New_York |
2025-04-01 | 15.9 | 4.4 | 6.6 | 63 | New_York |
2025-04-02 | 8.4 | 0.1 | 0 | 3 | New_York |
2025-04-03 | 22.2 | 6.5 | 1.5 | 53 | New_York |
2025-04-04 | 21.2 | 12.7 | 7.2 | 63 | New_York |
2025-04-05 | 12.6 | 5.9 | 1.5 | 53 | New_York |
2025-04-06 | 15.4 | 5.9 | 3.1 | 61 | New_York |
2025-04-07 | 9.1 | 4.3 | 8.5 | 55 | New_York |
2025-04-08 | 6.6 | 1.9 | 0 | 3 | New_York |
2025-04-09 | 8.3 | -1.7 | 0 | 1 | New_York |
2025-04-10 | 9.4 | 1.6 | 0.7 | 51 | New_York |
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Check out the documentation for more information.
Worldwide Weather Dataset 2025
Description
Daily weather data (temperature, precipitation, weather code) for major cities worldwide in 2025.
Columns
time: Date (YYYY-MM-DD)temperature_2m_max: Maximum daily temperature (°C)temperature_2m_min: Minimum daily temperature (°C)precipitation_sum: Total daily precipitation (mm)weathercode: Weather code according to Open-Meteo classificationcity: City name
Source
Data collected using Open-Meteo API.
Usage Example
import pandas as pd
df = pd.read_csv("worldwide_weather_2025.csv")
print(df.head())
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