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Update screenshots in README

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@ -26,7 +26,7 @@ curl -sL https://git.io/ISLANDScsv \
| uplot bar -d, -t "Areas of the World's Major Landmasses"
```
![image](https://user-images.githubusercontent.com/5798442/101988075-038cde00-3cdb-11eb-81be-bbd403a318db.png)
![barplot](https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png)
### histogram
@ -37,8 +37,7 @@ echo -e "from numpy import random;" \
| python \
| uplot hist --nbins 20
```
![image](https://user-images.githubusercontent.com/5798442/101988180-63838480-3cdb-11eb-8b4f-67286f8ebe05.png)
![histogram](https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png)
### lineplot
@ -48,47 +47,60 @@ curl -sL https://git.io/AirPassengers \
| uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600
```
![image](https://user-images.githubusercontent.com/5798442/101988206-86159d80-3cdb-11eb-95fe-b7fbf2a1faf4.png)
![lineplot](https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png)
### scatter
```sh
curl -sL https://git.io/YouPlotIris \
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot scatter -H -t IRIS
```
![image](https://user-images.githubusercontent.com/5798442/101988233-ac3b3d80-3cdb-11eb-9916-658bf631d72f.png)
![scatter](https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png)
### density
```sh
curl -sL https://git.io/YouPlotIris \
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot density -H -t IRIS
```
![image](https://user-images.githubusercontent.com/5798442/101988248-c5dc8500-3cdb-11eb-906b-59afaac98773.png)
![density](https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png)
### boxplot
```sh
curl -sL https://git.io/YouPlotIris \
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot boxplot -H -t IRIS
```
![image](https://user-images.githubusercontent.com/5798442/101988276-f02e4280-3cdb-11eb-8cef-cd5a9dee4fd8.png)
![boxplot](https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png)
### count
```sh
curl -sL https://git.io/TITANICcsv \
In this example, YouPlot counts the number of chromosomes where the gene is located from the human gene annotation file and create a bar chart. The human gene annotation file can be downloaded from the following website.
* https://www.gencodegenes.org/human/
```sh
cat gencode.v35.annotation.gff3 \
| grep -v '#' | grep 'gene' | cut -f1 | \
uplot count -t "The number of human gene annotations per chromosome" -c blue
```
Note: `count` is slower than other Unix commands because it runs in a Ruby script.
![count](https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png)
Note: `count` is not very fast because it runs in a Ruby script.
This is fine if the data is small, that is, in most cases. However, if you want to visualize huge data, it is faster to use a combination of common Unix commands as shown below.
```sh
cat gencode.v35.annotation.gff3 | grep -v '#' | grep 'gene' | cut -f1 \
|sort | uniq -c | sort -nrk2 | awk '{print $2,$1}' \
| uplot bar -d ' ' -t "The number of human gene annotations per chromosome" -c blue
```
## Usage