DataFrame | A Pandas-like DataFrame in c

by FabianSchuetze C++ Version: Current License: No License

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kandi X-RAY | DataFrame Summary

DataFrame is a C++ library typically used in Data Science, Numpy, Pandas applications. DataFrame has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A pandas like dataframe in c++.

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DataFrame has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

DataFrame has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DataFrame is current.

Quality

DataFrame has no bugs reported.

Security

DataFrame has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DataFrame does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DataFrame releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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DataFrame Key Features

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DataFrame Examples and Code Snippets

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Community Discussions

Trending Discussions on DataFrame

Pandas: List of maximum values of difference from previous rows in new column

TypeError: unhashable type: 'numpy.ndarray' and plt.scatter()

Pandas: cut date column into period date groups/bins

repeat values of a column based on a condition

append or join value from one dataframe to every row in another dataframe in Pandas

In R, how can I change many select (binary) columns in a dataframe into factors?

Python: If Formula Not Working on Dataframe | ValueError: The truth value of a DataFrame is ambiguous

Creating a list of sentences from a file and adding it into a dataframe

How to multiply every row in dataframe by value from csv file

Identify distinct mappings of two overlapping columns in Pandas

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

TypeError: unhashable type: 'numpy.ndarray' and plt.scatter()

Asked 2021-Jun-16 at 02:51

I am having issues with the plt.scatter() function. The error message says 'Type Error: unhashable type: 'numpy.ndarray''I want this code to create a scatter plot of the x and y dataframes. The two dataframes are the same size (88,2) when I enter a sample unit into the code.

...

ANSWER

Answered 2021-Jun-15 at 18:02

Based on Matplotlib documentation here the inputs for plt.scatter() are:

x, yfloat or array-like, shape (n, ) The data positions.

But in your code what you're passing to the scatter function are two pd.DataFrame. So the first column are the names but the second columns are where the values stored:

Source https://stackoverflow.com/questions/67990872

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

append or join value from one dataframe to every row in another dataframe in Pandas

Asked 2021-Jun-15 at 23:59

I'm normally OK on the joining and appending front, but this one has got me stumped.

I've got one dataframe with only one row in it. I have another with multiple rows. I want to append the value from one of the columns of my first dataframe to every row of my second.

df1:

id Value 1 word

df2:

id data 1 a 2 b 3 c

Output I'm seeking:

df2

id data Value 1 a word 2 b word 3 c word

I figured that this was along the right lines, but it listed out NaN for all rows:

...

ANSWER

Answered 2021-Jun-15 at 23:59

Just get the first element in the value column of df1 and assign it to value column of df2

Source https://stackoverflow.com/questions/67994592

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

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 the unique elements in the column are 0 and 1
loop over those selected column and convert to factor class

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

QUESTION

Python: If Formula Not Working on Dataframe | ValueError: The truth value of a DataFrame is ambiguous

Asked 2021-Jun-15 at 23:10

I have a dataframe with different currencies.
I'm creating an if formula to apply to a specific column and give me the results in another column:

Code:

...

ANSWER

Answered 2021-Jun-15 at 22:47

If you are hoping to get True if the result is not empty, you might want to use:

Source https://stackoverflow.com/questions/67994130

QUESTION

Creating a list of sentences from a file and adding it into a dataframe

Asked 2021-Jun-15 at 22:00

I am using the code below to create a list of sentences from a file document. The function will return a list of sentences.

...

ANSWER

Answered 2021-Jun-15 at 22:00

sentences is a list per your function. You may want to change your return statement to return a string instead. The full function would therefore look like:

Source https://stackoverflow.com/questions/67993726

QUESTION

How to multiply every row in dataframe by value from csv file

Asked 2021-Jun-15 at 21:54

Here's my csv file CSV

I'm trying to take the mean of columns "Angle Min" and "Angle Max" and then multiply every row in the resulting dataframe with the "Angle Conversion Factor" in cell D8. Likewise I want to do the same with "Torque Min" and "Torque Max" (get the mean and then multiply the resulting dataframe by the "Torque Conversion Factor" in Cell E8).

Here's my code so far:

...

ANSWER

Answered 2021-Jun-15 at 21:54

Your AngleConcFactor and TorqueConvFactor remain as 1x1 DataFrames in your code. Just a slight cleanup of your function might give you what you need:

Source https://stackoverflow.com/questions/67993738

QUESTION

Identify distinct mappings of two overlapping columns in Pandas

Asked 2021-Jun-15 at 20:56

Suppose I have a Pandas dataframe with two identifier columns like this:

...

ANSWER

Answered 2021-Jun-15 at 20:56

Sounds like a network issue, try with networkx

Source https://stackoverflow.com/questions/67993365

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

Vulnerabilities

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Install DataFrame

You can download it from GitHub.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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