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    # import libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

    Mean Monthly Temperature in Hamburg

    # import uhh_temp.csv 
df = pd.read_csv('uhh2000_23temp.csv', sep=";")
df.head()
    plt.figure(figsize=(10,5))
sns.lineplot(x='year', y='jan', data=df, label='jan')
sns.lineplot(x='year', y='feb', data=df, label='feb')
sns.lineplot(x='year', y='mar', data=df, label='mar')
sns.lineplot(x='year', y='apr', data=df, label='apr')
sns.lineplot(x='year', y='may', data=df, label='may')
sns.lineplot(x='year', y='jun', data=df, label='jun')
sns.lineplot(x='year', y='jul', data=df, label='jul')
sns.lineplot(x='year', y='aug', data=df, label='aug')
sns.lineplot(x='year', y='sep', data=df, label='sep')
sns.lineplot(x='year', y='oct', data=df, label='oct')
sns.lineplot(x='year', y='nov', data=df, label='nov')
sns.lineplot(x='year', y='dec', data=df, label='dec')
plt.title('Average monthly temperature in Hamburg')
plt.xlabel('Year')
plt.ylabel('Temperature in °C')
plt.show()

    Mean Monthly Rain in Hamburg

    # import uhh_rain.csv
df2 = pd.read_csv('uhh2000_2023rain.csv', sep=';')
df2.head()
    plt.figure(figsize=(10,5))
sns.lineplot(x='year', y='jan', data=df2, label='jan')
sns.lineplot(x='year', y='feb', data=df2, label='feb')
sns.lineplot(x='year', y='mar', data=df2, label='mar')
sns.lineplot(x='year', y='apr', data=df2, label='apr')
sns.lineplot(x='year', y='may', data=df2, label='may')
sns.lineplot(x='year', y='jun', data=df2, label='jun')
sns.lineplot(x='year', y='jul', data=df2, label='jul')
sns.lineplot(x='year', y='aug', data=df2, label='aug')
sns.lineplot(x='year', y='sep', data=df2, label='sep')
sns.lineplot(x='year', y='oct', data=df2, label='oct')
sns.lineplot(x='year', y='nov', data=df2, label='nov')
sns.lineplot(x='year', y='dec', data=df2, label='dec')
plt.title('Average monthly rain in Hamburg')
plt.xlabel('Year')
plt.ylabel('rain in mm')
plt.show()