While working with pandas dataframes, it may happen that you require to check whether two dataframes are same or not. In this tutorial, we’ll look at how to compare two pandas dataframes for equality along with some examples. Show
The pandas dataframe equals() functionThe pandas dataframe function
Here, ExamplesLet’s see using some examples of how the 1. Compare two exactly similar dataframes
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In the above example, two dataframes 2. Compare two exactly similar dataframes with NaNs
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In the above example, you can see that 3. Compare two dataframes with equal values but different dtypes
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In the above example, the column 4. Compare dataframes with columns having different dtypeWill the dataframes be equal if the column names are equal but have different dtypes given that the elements are the same?
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In the above example we find that dtypes of column names does not matter so long as they are equal. 5. Compare dataframes with same elements but different column namesWhat will the
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In the above example, we see that the
elements of the dataframes 6. Compare dataframes with same elements but different index
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In the above example, we can see that as was the case with column names, dataframes having different indices cannot be said to be equal even if they have the same elements. If you want to compare two dataframes with different index schemes, first reset the index and then check for equality. For more on the pandas dataframe With this, we come to the end of this tutorial. The code examples and results presented in this tutorial have been implemented in a Jupyter Notebook with a python (version 3.8.3) kernel having pandas version 1.0.5 and numpy version 1.18.5 More on Pandas DataFrames –
How do you compare multiple data frames?The compare method in pandas shows the differences between two DataFrames. It compares two data frames, row-wise and column-wise, and presents the differences side by side. The compare method can only compare DataFrames of the same shape, with exact dimensions and identical row and column labels.
How do you compare data frames in Python?Steps to Compare Values Between two Pandas DataFrames. Step 1: Prepare the datasets to be compared. To start, let's say that you have the following two datasets that you want to compare: ... . Step 2: Create the two DataFrames. ... . Step 3: Compare the values between the two Pandas DataFrames.. How do I compare two large DataFrames in Python?Comparison of Two Data Sets using Python. datacompy : is a package to compare two DataFrames. ... . datacompy takes two dataframes as input and gives us a human-readable report containing statistics that lets us know the similarities and dissimilarities between the two dataframes.. What does diff () do in pandas?Pandas DataFrame diff() Method
The diff() method returns a DataFrame with the difference between the values for each row and, by default, the previous row. Which row to compare with can be specified with the periods parameter.
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