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Centered the images in the README

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@ -32,7 +32,9 @@ curl -sL https://git.io/ISLANDScsv \
| uplot bar -d, -t "Areas of the World's Major Landmasses" | uplot bar -d, -t "Areas of the World's Major Landmasses"
``` ```
![barplot](https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png) <p align="center">
<img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png">
</p>
### histogram ### histogram
@ -43,7 +45,10 @@ echo -e "from numpy import random;" \
| python \ | python \
| uplot hist --nbins 20 | uplot hist --nbins 20
``` ```
![histogram](https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png)
<p align="center">
<img alt="histogram" src="https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png">
</p>
### lineplot ### lineplot
@ -53,7 +58,9 @@ curl -sL https://git.io/AirPassengers \
| uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600 | uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600
``` ```
![lineplot](https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png) <p align="center">
<img alt="lineplot" src="https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png">
</p>
### scatter ### scatter
@ -63,7 +70,9 @@ curl -sL https://git.io/IRIStsv \
| uplot scatter -H -t IRIS | uplot scatter -H -t IRIS
``` ```
![scatter](https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png) <p align="center">
<img alt="scatter" src="https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png">
</p>
### density ### density
@ -73,7 +82,9 @@ curl -sL https://git.io/IRIStsv \
| uplot density -H -t IRIS | uplot density -H -t IRIS
``` ```
![density](https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png) <p align="center">
<img alt="density" src="https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png">
</p>
### boxplot ### boxplot
@ -83,7 +94,9 @@ curl -sL https://git.io/IRIStsv \
| uplot boxplot -H -t IRIS | uplot boxplot -H -t IRIS
``` ```
![boxplot](https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png) <p align="center">
<img alt="boxplot" src="https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png">
</p>
### count ### count
@ -97,7 +110,9 @@ cat gencode.v35.annotation.gff3 \
uplot count -t "The number of human gene annotations per chromosome" -c blue uplot count -t "The number of human gene annotations per chromosome" -c blue
``` ```
![count](https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png) <p align="center">
<img alt="count" src="https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png">
</p>
Note: `count` is not very fast because it runs in a Ruby script. Note: `count` is not very fast because it runs in a Ruby script.
This is fine in most cases, as long as the data size is small. If you want to visualize huge data, it is faster to use a combination of common Unix commands as shown below. This is fine in most cases, as long as the data size is small. If you want to visualize huge data, it is faster to use a combination of common Unix commands as shown below.