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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
import plotly.express as px
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from google.colab import drive
drive.mount('/content/gdrive')
Mounted at /content/gdrive
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df = pd.read_csv('/content/gdrive/MyDrive/Polar Region Project/pr_arctic/Northern_cities_climate.csv')
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print(df.shape)
(136, 8)
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df.head(5)
Out[ ]:
| city | country | latitude | longitude | year | hemisphere | average_temperature | east_west | |
|---|---|---|---|---|---|---|---|---|
| 0 | Anchorage | United States | 61.88 | 151.13 | 1980 | North | -1.670917 | West |
| 1 | Anchorage | United States | 61.88 | 151.13 | 1981 | North | -0.222417 | West |
| 2 | Anchorage | United States | 61.88 | 151.13 | 1982 | North | -2.731500 | West |
| 3 | Anchorage | United States | 61.88 | 151.13 | 1983 | North | -1.251667 | West |
| 4 | Anchorage | United States | 61.88 | 151.13 | 1984 | North | -1.440917 | West |
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df.isnull().sum()
Out[ ]:
| 0 | |
|---|---|
| city | 0 |
| country | 0 |
| latitude | 0 |
| longitude | 0 |
| year | 0 |
| hemisphere | 0 |
| average_temperature | 0 |
| east_west | 0 |
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df['city'] = df['city'].str.strip()
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df.city.unique()
Out[ ]:
array(['Anchorage', 'Norilsk', 'Reykjavik', 'Trondheim'], dtype=object)
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plt.figure(figsize=(12,8))
trondheim = df.city == 'Trondheim'
anchorage = df.city == 'Anchorage'
norilsk = df.city == 'Norilsk'
reykjavik = df.city == 'Reykjavik'
sns.lineplot(data=df[trondheim], x='year', y='average_temperature', color='red', label='Trondheim')
sns.lineplot(data=df[anchorage], x='year', y='average_temperature', color='yellow', label='Anchorage')
sns.lineplot(data=df[norilsk], x='year', y='average_temperature', color='purple', label='Norilsk')
sns.lineplot(data=df[reykjavik], x='year', y='average_temperature', color='blue', label='Reykjavik')
plt.legend(loc=('lower right'))
plt.show()
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east_westNum = {'East': 1, 'West': -1}
df['east_west'] = df['east_west'].map(east_westNum)
df['longitude'] = df['longitude'] * df['east_west']
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fig = px.scatter_geo(df, lat='latitude', lon='longitude', hover_name='city')
fig.show()