Created
October 30, 2020 19:23
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Comparing pandas update vs dict update
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import pandas as pd | |
data1 = pd.DataFrame({'A': [1, 2, 3, 4]}, index=[0, 1, 2, 3]) | |
data2 = pd.DataFrame({'A': [10, 11, 12, 13]}, index=[2, 3, 4, 5]) | |
data3 = data1.copy() | |
data3.update(data2) | |
print(data3) | |
data1 = pd.DataFrame({'A': [1, 2, 3, 4]}, index=[0, 1, 2, 3]) | |
data2 = pd.DataFrame({'A': [10, 11, 12, 13]}, index=[2, 3, 4, 5]) | |
d1 = {0: 1, 1: 2, 2: 3, 3: 4} | |
d2 = {2: 10, 3: 11, 4: 12, 5: 13} | |
d3 = d1.copy() | |
d3.update(d2) | |
print(d3) |
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