plot | some utils code of deep learning | Machine Learning library

by guoyilin Python Version: Current License: No License

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kandi X-RAY | plot Summary

plot is a Python library typically used in Artificial Intelligence, Machine Learning applications. plot has no bugs, it has no vulnerabilities and it has low support. However plot build file is not available. You can download it from GitHub.

some plot of machine learning confusion_matrix: compute confusion matrix. Use in classification. precison_recall.py: compute p/r curve. roc_curve.py: compute roc curve. cnn: draw loss/iteration curve. caffe_test.py: predict label.

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plot has a low active ecosystem.

It has 12 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of plot is current.

Quality

plot has no bugs reported.

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

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plot does not have a standard license declared.

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

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

plot has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed plot and discovered the below as its top functions. This is intended to give you an instant insight into plot implemented functionality, and help decide if they suit your requirements.

Calculate out the indices from the input layer .
Plot the confusion matrix .
Prints the layer .

Get all kandi verified functions for this library.

plot Key Features

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plot Examples and Code Snippets

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Community Discussions

Trending Discussions on plot

How to produce a point graph in R like this?

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

How to print ggplot for multiple tables in this case?

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

How to use a generic method to remove outliers only if they exist in R

Can't integrate simple normal distribution in sympy, depending on mean and deviation constants

Control the facecolor of histograms

How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)

Deleting columns with specific conditions

Not able to get reasonable results from DenseVariational

QUESTION

How to produce a point graph in R like this?

Asked 2021-Jun-16 at 04:05

I have basically this very odd type of data frame:

The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).

The table looks like this:

state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38

"NA" means there is not data.

How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?

Thank you.

...

ANSWER

Answered 2021-Jun-16 at 03:41

You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have check.names = FALSE so that column names are read as is.

Source https://stackoverflow.com/questions/67995623

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

How to print ggplot for multiple tables in this case?

Asked 2021-Jun-15 at 22:10

I have this code which prints multiple tables

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ANSWER

Answered 2021-Jun-15 at 20:59

So, this is a good opportunity to use purrr::map. You are half way there by applying code to one dataframe.

You can take the code that you have written above and put it into a function.

Source https://stackoverflow.com/questions/67992308

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

How to use a generic method to remove outliers only if they exist in R

Asked 2021-Jun-15 at 19:58

I am using a method to remove univariate outliers. This method only works if the vector contains outliers.

How is it possible to generalize this method to work also with vectors without outliers. I tried with ifelse without success.

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ANSWER

Answered 2021-Jun-15 at 19:58

Negate (!) instead of using - which would work even when there are no outliers

Source https://stackoverflow.com/questions/67992709

QUESTION

Can't integrate simple normal distribution in sympy, depending on mean and deviation constants

Asked 2021-Jun-15 at 19:02

So... I can sympy.integrate a normal distribution with mean and standard deviation:

...

ANSWER

Answered 2021-Jun-15 at 01:38

Here's a close case that works:

Source https://stackoverflow.com/questions/67978829

QUESTION

Control the facecolor of histograms

Asked 2021-Jun-15 at 18:35

In the following histogram,

...

ANSWER

Answered 2021-Jun-15 at 18:35

You could loop through the bars and test whether it is completely to the right of the separation, completely to the left or crosses it. You change the bar's color correspondingly.

When a bar crosses the separator, the bar gets the color for the left area and its size is narrowed to touch the separator. A copy of the bar can be added, with the right-area color and its x-position moved.

Source https://stackoverflow.com/questions/67990800

QUESTION

How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)

Asked 2021-Jun-15 at 17:51

I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.

And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.

When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.

I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.

My attempts have amounted to this:

...

ANSWER

Answered 2021-Jun-15 at 17:34

library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")

Source https://stackoverflow.com/questions/67990027

QUESTION

Deleting columns with specific conditions

Asked 2021-Jun-15 at 16:53

I have a dataframe output from the python script which gives following output

Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00

i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.

...

ANSWER

Answered 2021-Jun-15 at 15:55

The way I did was the following,

First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.

Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.

rm_time = dt.time(15,30)

With this, we can go about using the DataFrame.drop()

df.drop(df[df.Datetime.dt.time == rm_time].index)

Source https://stackoverflow.com/questions/67989337

QUESTION

Not able to get reasonable results from DenseVariational

Asked 2021-Jun-15 at 16:05

I am trying a regression problem with the following dataset (sinusoidal curve) of size 500

First, I tried with 2 dense layer with 10 units each

...

ANSWER

Answered 2021-Mar-18 at 15:40

You need to define a different surrogate posterior. In Tensorflow's Bayesian linear regression example https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_Regression.ipynb#scrollTo=VwzbWw3_CQ2z

you have the posterior mean field as such

Source https://stackoverflow.com/questions/66418959

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Install plot

You can download it from GitHub.
You can use plot 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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