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Technique 1: Get count of column values greater than a value using Series. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Now, we can see that on 5/10 days the volume was greater than or equal to 100 million. For example, lets say that you created a DataFrame that has 12 numbers, where the last two numbers are zeros: set_of_numbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 0, 0]. We can easily find out whether any values in our Pandas DataFrame column value answers a specific condition using the any () method of a pandas Series. Then get the size/count of that subset Series i.e. with the index of other and broadcast: Use the method to control the broadcast axis: When comparing to an arbitrary sequence, the number of columns must Why is it shorter than a normal address? Required fields are marked *. This bool Series will contain True only for those values which are greater than a specific limit. In the data set, youll see that there is a Close* column and an Adj Close** column. Whether to compare by the index (0 or index) or columns And .isin (vals) is the other way around, it checks whether the DataFrame/Series values are in the vals. If The column has values as lists Ask Question Asked 2 years, 10 months ago Modified 2 years, 10 months ago Viewed 2k times 2 Hi I am trying to query an If condition on a column in pandas. I hope you found this very basic introduction to logical comparisons in Pandas using the wrappers useful. GitHub - gventuri/pandas-ai: Pandas AI is a Python library that How can I check if a column in Pandas has a string with different case choices? Remember to only compare data that can be compared (i.e. Remember that the index of a list and a DataFrame both start at 0, so you would look at 308.6 and 309.2 respectively for the first DataFrame column values (scroll back up if you want to double-check the results). The data used in this piece is sourced from Yahoo Finance. How do I count the NaN values in a column in pandas DataFrame? Finally, you may want to check the following external source for additional information about Pandas DataFrame.