df | source code and dataset are used to demonstrate the DF model | Machine Learning library

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kandi X-RAY | df Summary

kandi X-RAY | df Summary

df is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. df has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can download it from GitHub.

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              df has a highly active ecosystem.
              It has 123 star(s) with 39 fork(s). There are 5 watchers for this library.
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              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 33 days. There are 4 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of df is current.

            kandi-Quality Quality

              df has 0 bugs and 0 code smells.

            kandi-Security Security

              df has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              df code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              df does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              df releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              df saves you 415 person hours of effort in developing the same functionality from scratch.
              It has 985 lines of code, 21 functions and 13 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed df and discovered the below as its top functions. This is intended to give you an instant insight into df implemented functionality, and help decide if they suit your requirements.
            • Builds a convolutional model .
            • Evaluate the predicted class .
            • Wrapper for OW_NODef evaluation .
            • Loads WTF - PAD data .
            • Load the walkie - talkie data .
            • Load Dataset .
            • Load data for training .
            • Load training data .
            • Load training data .
            • Load training data for Open World World .
            Get all kandi verified functions for this library.

            df Key Features

            No Key Features are available at this moment for df.

            df Examples and Code Snippets

            No Code Snippets are available at this moment for df.

            Community Discussions

            QUESTION

            Format values in a data frame
            Asked 2021-Jun-16 at 03:47

            Replace values from a column based on the following rule: t0345_0400_d2 = 03:45, or to keep only the first part of the value in time format. How can I do this?

            Data structure:

            Output:

            Sample data:

            ...

            ANSWER

            Answered 2021-Jun-16 at 03:47

            You can use sub to extract data in two capture groups and separate them by : -

            Source https://stackoverflow.com/questions/67996057

            QUESTION

            Pandas: List of maximum values of difference from previous rows in new column
            Asked 2021-Jun-16 at 03:33

            I want to add a new column 'BEST' to this dataframe, which contains a list of the names of the columns which meet these criteria:

            • Subtract from the current value in each column the value in the row that is 2 rows back
            • The column that has the highest result of this subtraction will be listed in 'BEST'
            • If more more than one column shares the same highest result, they all get listed
            • If all columns have the same result, they all get listed

            Input:

            ...

            ANSWER

            Answered 2021-Jun-16 at 03:33

            First use shift and subtract to get the diff, then replace the maximum values with the column name and drop the others.

            Source https://stackoverflow.com/questions/67995888

            QUESTION

            Pandas: cut date column into period date groups/bins
            Asked 2021-Jun-16 at 02:26

            I have a dataframe as below:

            ...

            ANSWER

            Answered 2021-Jun-16 at 02:26

            Convert your dates with to_datetime then subtract from today's normalized date (so that we remove the time part) and get the number of days. Then use pd.cut to group them appropriately.

            Anything in the future gets labeled with NaN.

            Source https://stackoverflow.com/questions/67995517

            QUESTION

            repeat values of a column based on a condition
            Asked 2021-Jun-16 at 00:54

            I have a data frame including three columns named 'Altitude', 'Distance', 'Slope'. The column of 'Slope' is calculated using the two first columns 'Altitude', 'Distance'. @ the first step the purpose was to calculate 'Slope' using a condition explained below: A condition function was deployed to start from the top column of the "Distance" variable and add up (sum) values until the summation of them is greater or equal to 10 (>=10). If this condition corrects then calculate the "Slope" using the given formula: Slope=Average(Altitude)/(sum(Distance)). The summation of the 'Distance' was counting from the first value of that to the index that the 'Distance' has stopped there). The following code is for the above explanation (By Tim Roberts):

            ...

            ANSWER

            Answered 2021-May-19 at 13:38

            Use this code after you calculate s to get slope column with desired values:

            Source https://stackoverflow.com/questions/67602985

            QUESTION

            In R, how can I change many select (binary) columns in a dataframe into factors?
            Asked 2021-Jun-15 at 23:13

            I have a dataset with many columns and I'd like to locate the columns that have fewer than n unique responses and change just those columns into factors.

            Here is one way I was able to do that:

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:29

            Here is a way using tidyverse.

            We can make use of where within across to select the columns with logical short-circuit expression where we check

            1. the columns are numeric - (is.numeric)
            2. if the 1 is TRUE, check whether number of distinct elements less than the user defined n
            3. if 2 is TRUE, then check all the unique elements in the column are 0 and 1
            4. loop over those selected column and convert to factor class

            Source https://stackoverflow.com/questions/67992978

            QUESTION

            Error when converting string to integer when values are numbers in Pandas data frame
            Asked 2021-Jun-15 at 23:03

            I have a column with the datatype 'object', but it actually contains numbers (408, 415, 510) with no missing values. I want to convert this to integer with the code below, but I get the error: invalid literal for int() with base 10: 'A415' (I added the first line of code after reading other posts, but I get the same error even if I drop the first line of code).

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:03

            Looks like there is a "A415" value in your column. Could be a typo?

            You can check if this is the case by getting a list of the unique values in this pandas column, like below. This is a quick way of knowing if all values look alright.

            Source https://stackoverflow.com/questions/67994419

            QUESTION

            Pandas DataFrame: the cells are modified but the changes do not save
            Asked 2021-Jun-15 at 22:52

            I am a beginner in Data Science, so please sorry if my mistake is dumb.

            Here, I have a loop which views my data frame and makes changes using .loc The problem is that the changes are not saved at the end. I checked every step, everything is processing right. I even checked the modified cell right after working on it (look below) and its gives the value I put into it. However, when the program finishes the my excel data frame is not changed at all.

            Help please. Thank you in advance!

            ...

            ANSWER

            Answered 2021-Jun-13 at 21:56

            when the program finishes my excel data frame is not changed at all.

            That's because you never wrote anything to the Excel file. With exc = pd.read_excel('...') you create a Python object exc (more specifically, a pandas DataFrame), and all the subsequent modifications happen to this object. To change the source file accordingly, you can use pandas' DataFrame.to_excel() method, by adding this line in the end:

            Source https://stackoverflow.com/questions/67962613

            QUESTION

            Incorrect value while calculating difference in python pandas
            Asked 2021-Jun-15 at 22:30

            I am trying to check if the value in 'diff' column is greater than 0 if it is, then the value in 'worth' should be False else it should be True

            I am using the below code to compute and check but it always gives me True. Can anyone point here what is the mistake. I am attaching pic of output as well

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:37

            Try with subtraction + np.where instead:

            Source https://stackoverflow.com/questions/67992878

            QUESTION

            Adding lists together with a loop
            Asked 2021-Jun-15 at 21:54

            I'm trying to add lists together using a loop. Here is some example data.

            ...

            ANSWER

            Answered 2021-Jun-15 at 21:49

            split would be more direct and faster

            Source https://stackoverflow.com/questions/67993884

            QUESTION

            Converting yes/no to integer type 1/0 (not just replacing) in Pandas data frame
            Asked 2021-Jun-15 at 21:23

            After looking at several posts here, every post explains how to replace yes/no in a column with 1/0, but the datatype of those numbers remain 'object' and is not float or int (even after I use astype(int)), so I can't do further operation with them. My code is below. Anyone knows how to convert datatype now from object to float or int?

            ...

            ANSWER

            Answered 2021-Jun-15 at 21:11

            Try casting to str before replacing:

            Source https://stackoverflow.com/questions/67993526

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install df

            You can download it from GitHub.
            You can use df like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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