data-analysis

import pandas as pd
df = pd.read_csv("data.csv")
print(df.info())
print(df.head())

df_filtered = df[df['column_name'] > 50]
print(df_filtered)

df_grouped = df.groupby('category_column').agg({'value_column': 'mean'})
print(df_grouped)

df1 = pd.read_csv("data1.csv")
df2 = pd.read_csv("data2.csv")
df_merged = pd.merge(df1, df2, on='common_column', how='inner')
print(df_merged)

def custom_function(x):
    return x * 2
df['new_column'] = df['existing_column'].apply(custom_function)
print(df.head())

df['date_column'] = pd.to_datetime(df['date_column'])
df.set_index('date_column', inplace=True)
df_resampled = df.resample('M').mean()
print(df_resampled)