df | source code and dataset are used to demonstrate the DF model | Machine Learning library
kandi X-RAY | df Summary
kandi X-RAY | df Summary
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- 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 .
df Key Features
df Examples and Code Snippets
Community Discussions
Trending Discussions on df
QUESTION
ANSWER
Answered 2021-Jun-16 at 03:47You can use sub
to extract data in two capture groups and separate them by :
-
QUESTION
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 03:33First use shift
and subtract
to get the diff, then replace the maximum values with the column name and drop the others.
QUESTION
I have a dataframe as below:
...ANSWER
Answered 2021-Jun-16 at 02:26Convert 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
.
QUESTION
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 13:38Use this code after you calculate s
to get slope column with desired values:
QUESTION
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 20:29Here 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
- the columns are
numeric
- (is.numeric
) - if the 1 is TRUE, check whether number of distinct elements less than the user defined n
- if 2 is TRUE, then check
all
theunique
elements in the column are 0 and 1 - loop over those selected column and convert to
factor
class
QUESTION
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 23:03Looks 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.
QUESTION
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 21:56when 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:
QUESTION
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 20:37Try with subtraction + np.where
instead:
QUESTION
I'm trying to add lists together using a loop. Here is some example data.
...ANSWER
Answered 2021-Jun-15 at 21:49split
would be more direct and faster
QUESTION
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 21:11Try casting to str
before replacing:
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Install df
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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