covid-19-data | Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated dail | Dataset library

 by   owid Python Version: Current License: No License

kandi X-RAY | covid-19-data Summary

kandi X-RAY | covid-19-data Summary

covid-19-data is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Dataset applications. covid-19-data has no bugs, it has no vulnerabilities and it has medium support. However covid-19-data build file is not available. You can download it from GitHub.

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

            kandi-support Support

              covid-19-data has a medium active ecosystem.
              It has 5597 star(s) with 3676 fork(s). There are 147 watchers for this library.
              It had no major release in the last 6 months.
              There are 5 open issues and 932 have been closed. On average issues are closed in 12 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of covid-19-data is current.

            kandi-Quality Quality

              covid-19-data has no bugs reported.

            kandi-Security Security

              covid-19-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              covid-19-data 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.

            kandi-Reuse Reuse

              covid-19-data releases are not available. You will need to build from source code and install.
              covid-19-data 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 covid-19-data and discovered the below as its top functions. This is intended to give you an instant insight into covid-19-data implemented functionality, and help decide if they suit your requirements.
            • Generate megafile
            • Get base dataset
            • Cleans a date or text
            • Read movie data from source
            • Extracts the cgrt data from bsg_diff
            • Removes missing countries from the OxCGRT file
            • Imports a given dataset
            • Fetch one row from the database
            • Execute one or more rows
            • Yield n n - sized chunks of dataframe
            • Download data
            • Inserts a source
            • Inserts a new dataset
            • Takes a pandas dataframe and filters out age group values
            • Generate data proposals from Twitter
            • Return a pandas dataframe
            • Read data from a comic feed
            • Return a pandas dataframe for the ISR code
            • Return a pandas dataframe
            • Import data from World Bank
            • Checks to see if the data file has the same name and locale
            • Export data from the source
            • Increment population
            • Return a DataFrame with all cases in the deu
            • Return a pandas dataframe of the US USA
            • Cleans a date or text string
            • Deprecated
            • Return a pandas dataframe with the missing evidence
            Get all kandi verified functions for this library.

            covid-19-data Key Features

            No Key Features are available at this moment for covid-19-data.

            covid-19-data Examples and Code Snippets

            copy iconCopy
            # importing COVID data
            swiss_covid_latest <- read_csv("data/latest_swiss_data.csv")
            ## ── Column specification ────────────────────────────────────────────────────────
            ## cols(
            ##   date = col_date(format = ""),
            ##   abbreviation_canton_and_f  
            copy iconCopy
              data = canton_shape,
              aes(fill = incidence)
            ) +
              geom_sf() +
            quantile_vec <- quantile(canton_shape$incidence,
              na.rm = TRUE,
              probs = seq(0, 1, 0.2)
            ##       0%      20%      40%      60%      80%      
            copy iconCopy
            ggplot(data = canton_shape) +
              geom_sf(aes(fill = incidence_cut)) +
                type = "quantitative",
                palette = "BurgYl"
              ) +
              theme_void() +
                fill = "",
                title = paste0(
                  "Cumulative confirmed ",  

            Community Discussions


            Can I add grouping line labels above my ggplot bar/column chart?
            Asked 2022-Mar-29 at 18:32

            I'm interested in adding grouping labels above my ggplot bar charts. This feature exists for data visualizations such as phylogenetic trees (in ggtree), but I haven't found a way to do it in ggplot.

            I've tried toying around with geom_text, and geom_label, but I haven't had success yet. Perhaps there's another package that enables this functionality? I've attached some example code that should be fully reproducible. I'd like the rating variable to go over the bars of the continents listed (spanning multiple continents).

            Any help is greatly appreciated! Thank you!

            P.S. pardon all the comments - I was writing a teaching tutorial.



            Answered 2022-Mar-29 at 18:32

            One approach to achieve your desired result would be via geom_segment. To this end I first prepare a dataset containing the start and end positions of the segments to be put on top of the bars by rating group. Basically this involves converting the discrete locations to numerics.

            Afterwards it's pretty straightforward to add the segments and the labels.



            Join multiple rows having a common column Pandas
            Asked 2022-Feb-12 at 09:04

            I'm working on Covid data from Our World in Data. The data is very well-documented from the start. It is adding record for every progress(for every vaccination/deaths etc). It has 67 columns and more than 161K records.
            For every record that is being added, life_expectancy is calculated. I wanted to calculate the average life_expectancy per location till date. For eg: Mexico has around 750 entries and has life_expectancy for every record. I want to take average for all the 750 life_expectancy. For this, I planned to pick up entry of each country and then calculate the average of life_expectancy and then add it to new dictionary. My way got me incorrect data and also took more than 1 min to complete.


            Here's what I tried:



            Answered 2022-Feb-12 at 09:04

            Use groupby and compute mean on life_expectancy,:



            getting error when trying start server in pywebio 1.5.2
            Asked 2022-Feb-10 at 17:22

            I get this error:



            Answered 2022-Feb-10 at 17:22

            Your error comes from this line:



            How to add the total of a specific set of rows of a column, and then add this to another dataset?
            Asked 2022-Jan-14 at 17:02

            So I have two data sets the first being the OWID Covid-19 Dataset available here, it contains a column including location names and the total number of new covid cases for each day reported. It looks something like this: I would like to add the total number of new cases column but only for a specific location, the only methods we have been taught on my course are for totalling the whole column, but I would only like to add the rows corresponding to specific location for example Afghanistan, to then get a total number of covid cases for that country (by adding the total number of new cases).

            After this is complete I would like to then add this result to another dataset, as a new column for the locations total Covid-19 cases, the dataset I am adding this to looks like this (so for each location there should be a new column with their total number of covid cases corresponding to each location):


            1. How do I add rows of a column relating to a specific variable in another column, or just by entering row/column number?
            2. How would I then add this results to another data set by the location name?


            Answered 2022-Jan-14 at 17:02

            You can achieve the result using dplyr library in R. First, you'll need to group the data using the location variable and then summarise the column of new_cases.

            The code will look like this:



            matplotlib / pyplot: plot average curve for multiple graphs
            Asked 2021-Dec-20 at 19:34

            I'm a beginner in matplotlib. I've already created some graphs from a dataframe. Now I want to create the average graph from multiple graphs.

            Can anyone help me with this?

            My graphs look like this:



            Answered 2021-Dec-20 at 19:34

            Easiest would be to take the mean of the cases in all countries and plot this. You can do this by creating a new DataFrame:



            Using geom_map with transition_time gets Error: Error in insert_points(polygon$x, polygon$y, splits, n)
            Asked 2021-Dec-02 at 22:47

            I'm trying to show the growth of COVID cases in New York state

            This code gets the plot I want but without the animation or aspect of time.

            Full error:

            Error in insert_points(polygon$x, polygon$y, splits, n):
            Not compatible with requested type: [type=NULL; target=double].



            Answered 2021-Nov-30 at 12:11

            You need to tell {gganimate} what polygons to transition to one another. It won't be able to guess that for you. In other words, you need to add a group identifier to each transition state (meaning each county by date).

            I filtered to only one state because the reprex on the entire data kept crashing. I have transformed to a log scale for your counts, in order to represent the data range better. (there are a few negative values, therefore the warning)



            Plotly, streamlit: how to keep the fullscreen view
            Asked 2021-Nov-03 at 12:37

            I am building the choropleth map regarding the vaccination rate over the world. To plot with sequential color, I use Plotly to plot the map, and use streamlit to render the map on the webpage with Python. However, the map is too small, I've tried the fig.update_layout() to adjust the size, but the map is not centered. The "view fullscreen" on the toolbar exactly solves my problem as it's centered and always fits the screen. Thus, is there any way to keep it fullscreen?

            Here is my code:



            Answered 2021-Nov-03 at 12:37

            I managed to make it work using @Pluviophile comment, use_container_width=True and st.set_page_config(layout="wide"). I did use one of the chloropleth examples in order to get data to show.



            Normalize array of json records into dataframe
            Asked 2021-Nov-01 at 16:22

            I want to create a dataframe from the owid covid19 json data located here. The json has an array of daily records in the data column, this along with the country index is what I'm trying to make into a dataframe.



            Answered 2021-Oct-31 at 23:40

            It's not the most efficient way, but it works:



            How to merge two dataset and plot them in R
            Asked 2021-Oct-06 at 05:14

            I have this dataset which is COVID dataset per county and state. I also have this state population dataset as well. I probably need to somehow merge the two dataset together and plot the number of cases and death per capita. How can I plot the number of cases and death per capita for each state?

            I have the following code for the merging but it repeats the state over and over and doesn't work.



            Answered 2021-Oct-06 at 05:14

            Perhaps something like this?



            How can I read this csv data?
            Asked 2021-Oct-03 at 14:49

            I'm getting error:

            Error tokenizing data. C error: Expected 1 fields in line 88, saw 4

            while trying to read this data:



            Answered 2021-Oct-03 at 12:53

            Looks like that you are pulling in the GitHub UI and not the csv with your link


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


            No vulnerabilities reported

            Install covid-19-data

            You can download it from GitHub.
            You can use covid-19-data 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.


            If you are interested in the final dataset file, refer to this document. If you want to learn more about our processes, refer to our technical documentation.
            Find more information at:

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