In order to merge DataFrames with pandas in Python we can make use of the pandas.merge() function.
Example:
import pandas as pd
data_city_NYC = {
'Temp_NYC': [25, 30, 27, 25, 24, 24],
'Humidity_NYC': [50, 45, 55, 30, 55, 45]
}
data_city_Chicago = {
'Temp_Chicago': [28, 32, 29, 28, 29, 30],
'Humidity_Chicago': [60, 58, 62, 61, 65, 67]
}
dates = pd.date_range(start='2023-07-01', periods=6, freq='D')
df_city_NYC = pd.DataFrame(data_city_NYC, index=dates)
df_city_Chicago = pd.DataFrame(data_city_Chicago, index=dates)
print("DataFrame: NYC City")
print(df_city_NYC)
print("\nDataFrame: Chicago City")
print(df_city_Chicago)
merged_cities_df = pd.merge(df_city_NYC, df_city_Chicago, left_index=True, right_index=True)
print("\nMerged DataFrame Data:")
print(merged_cities_df)
Output:
DataFrame: NYC City
Temp_NYC Humidity_NYC
2023-07-01 25 50
2023-07-02 30 45
2023-07-03 27 55
2023-07-04 25 30
2023-07-05 24 55
2023-07-06 24 45
DataFrame: Chicago City
Temp_Chicago Humidity_Chicago
2023-07-01 28 60
2023-07-02 32 58
2023-07-03 29 62
2023-07-04 28 61
2023-07-05 29 65
2023-07-06 30 67
Merged DataFrame Data:
Temp_NYC Humidity_NYC Temp_Chicago Humidity_Chicago
2023-07-01 25 50 28 60
2023-07-02 30 45 32 58
2023-07-03 27 55 29 62
2023-07-04 25 30 28 61
2023-07-05 24 55 29 65
2023-07-06 24 45 30 67
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