fivethirtyeight | R package of data and code
kandi X-RAY | fivethirtyeight Summary
kandi X-RAY | fivethirtyeight Summary
An R package that provides access to the code and data sets published by FiveThirtyEight Note that while we received guidance from editors at 538, this package is not officially published by 538.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fivethirtyeight
fivethirtyeight Key Features
fivethirtyeight Examples and Code Snippets
Community Discussions
Trending Discussions on fivethirtyeight
QUESTION
Python newbie here. I'm looking at some daily weather data for a couple of cities over the course of a year. Each city has its own csv file. I'm interested in comparing the count of daily average temperatures between two cities in a bar graph, so I can see (for example) how often the average temperature in Seattle was 75 degrees (or 30 or 100) compared to Phoenix.
I'd like a bar graph with side-by-side bars with temperature on the x-axis and count on the y-axis. I've been able to get a bar graph of each city separately with this data, but don't know how to get both cities on the same bar chart with with a different color for each city. Seems like it should be pretty simple, but my hours of search haven't gotten me a good answer yet.
Suggestions please, oh wise stackoverflow mentors?
Here's what I've got so far:
...ANSWER
Answered 2021-May-29 at 19:32You can concat
DataFrames, assign
ing city as a column, and then use histplot
in seaborn
:
QUESTION
I have a dataset that contains names, Name of Movie, and Score
I am new to python, therefore I don't understand how I am supposed to make a horizontal bar chart that shows me the average score of each movie.
I started like:
import matplotlib.pyplot as plt
import pandas as pd
plt.style.use("fivethirtyeight")
df = pd.read_csv('movies.csv', sep=';')
print(df.shape)
print(df.head())
mean = df.groupby(['Name of Movie']).mean()
labels = mean.index.values
values = mean['Score'].values
I am unsure how to continue to display such chart
...ANSWER
Answered 2021-May-16 at 00:20df.groupby('Name of Movie').Score.mean().plot(kind='barh')
QUESTION
I'm coding the Bubble Sort algorithm, where it takes in a list of random integers, sorts them in increasing order, and plots the sorted list of integers as the y-values of a bar graph. My first bar chart is the unsorted list and the second one is the sorted one.
I want the graph to update in real time. I would do this by feeding matplotlib lists that are sorted a bit more and more. (ie new lists each time)
I've looked up many tutorials on updating charts in matplotlib, but they are mostly for ones like scatter plots where one point is added at a time. I've also seen Updating a matplotlib bar graph?, but I cannot understand it for the life of me...
So, how would I go about making this bar graph update in real time? Thank you!
My code is below. You can ignore the sorting algorithm. All that you need to know is that it returns a list of sorted numbers in the form [1, 2, 3, 4, 5].
...ANSWER
Answered 2021-Apr-28 at 03:42It is first version without FuncAnimation for animation. It may be slow.
And it may have problem to close window befor end of animation.
First I use
QUESTION
I've got this script running to update every time a new value is added to my csv file (it's a manual log taking in values from a machine):
...ANSWER
Answered 2021-Apr-28 at 01:40you can slice it or get first n records. you can apply the following after your code line : data=data.dropna()
QUESTION
Does anybody know how to fix the below error in Python in GoogleColab Notebook? I am running the below code:-
...ANSWER
Answered 2021-Apr-25 at 09:21It is not possible to use tkinter
on Google Colaboratory
for alot of reasons. Firstly, even though if you manage to get it working by following here, as it mentions:
However, if you want to interact with the GUI, that's going to be hard, 'cuz Colab doesn't support interactive screens out of the box.
also from other answers there:
Servers generally don't even have a display. And even if they had, you wouldn't see it. You will have to run Python on your desktop or laptop to use tkinter.
I cannot close this question as a duplicate because the other question does not have a correct answer chosen.
QUESTION
This piece of code is used to make an animated graph. The var xd and yd is the data for the x- axis and y-axis. So I have automated this by +1 to xd, which repeats every 1 second use threads. Which unfortunately results with an error: 'UnboundLocalError: local variable 'xd' referenced before assignment'. I have tried many answers but some result with, 'define xd' or 'syntax error'.
...ANSWER
Answered 2021-Apr-06 at 02:21It seems to me that you want to define xd as a global variable
QUESTION
Goal: display and save plot in mp4 at the same time
I am able to save the video but when it finishes saving, it starts to override canvases which leads to crashes and doesnt show the plot in gui. I imagine i have to use some sort of threads to run animation but i am stuck how to do that. I can also imagine a lot flaws in my code.
main.py
...ANSWER
Answered 2021-Feb-10 at 05:06Disclaimer: I am not going to use the OP's code as it has unnecessary elements that only distract as well as useless imports so I am going to show an example focused only on the required functionality.
If you want to save and show the GUI then you should not use the save() method as this is blocking, instead you should directly use the writer (FFMpegWriter), using the setup() method to configure and then the grab_frame() method to record the frames. It should be noted that when recording the speed of the animation decreases since recording a frame consumes time making the eventloop busy.
QUESTION
So this is the graph and the code I have so far:
...ANSWER
Answered 2021-Jan-09 at 17:33Maybe this:
QUESTION
I use the following code for training my model which is supposed to detect cats and dogs. when I train it, each time it gives a different prediction score and the output is mostly wrong. here is my code
...ANSWER
Answered 2021-Jan-02 at 23:18I cannot post comments yet, so writing an answer.
I see your model has only one convolutional layer with 32 filters. Your model would not have learned good features with only one layer. You can try to increase the convolutional layers.
How many images does your training set have? Did you check if your class_names variable values are corresponding to your images? I mean try to plot few images of your dataset with your labels just to be sure, you are setting the labels correctly to your images.
Monitor your training and validation accuracy scores. If your validation score is lesser and your training accuracy is huge, chances are that your model is over-fitting. Use regularization methods to avoid overfitting. (For E.g., add a dropout layer or use kernel_regularizer).
Look at this post and see if you can get the results
QUESTION
I just read an article here
Does anybody knows if/how we can produce a similar chart like this in R with ggplot package or other libraries? This is such a cool visualisation
...ANSWER
Answered 2020-Dec-19 at 14:11Yes, you could achieve a very similar look with ggplot. I think this gets you pretty close:
Data
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fivethirtyeight
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page